<<

Electrical Power and Systems 53 (2013) 987–993

Contents lists available at SciVerse ScienceDirect

Electrical Power and Energy Systems

journal homepage: www.elsevier.com/locate/ijepes

Reliability evaluation for different power plant layouts by using sequential Monte Carlo simulation ⇑ M. Moazzami a, , R. Hemmati a, F. Haghighatdar Fesharaki a, S. Rafiee Rad b a Department of , Najafabad Branch, Islamic Azad University, Isfahan, Iran b Power Distribution Company of Isfahan Province, Isfahan, Iran article info abstract

Article history: In deregulated environment, the power system works with lower stability margin due Received 13 March 2012 to demand fluctuations. Therefore, in restructured power systems all generation companies attempt to Received in revised form 14 June 2013 increase reliability of their own power plants. The arrangement of the busbar layouts in power stations Accepted 24 June 2013 has a great effect on the power system reliability. This paper develops a sequential Monte Carlo simula- tion (SMCS) to evaluate the effect of generator breaker and bus-section on the reliability indices of one and half and two-breaker busbar layouts. Karun III layout in Iran national grid (ING) is con- Keywords: sidered as a real world system case study. The most commonly used reliability indices such as loss of load Reliability expectation (LOLE), expected energy not supplied (EENS) and expected load curtailment (ELC) are used to Generator breaker Bus-section evaluate the reliability in this paper. Economic and technical evaluations of reliability indices variation in Sequential Monte Carlo simulation presence of generator breaker and bus-section are presented. Simulation results show that how variation of forced outage rate (FOR) of generator and generator breaker affect on the reliability indices. Ó 2013 Elsevier Ltd. All rights reserved.

1. Introduction compared. Also reliability of eight basic industrial substation configurations is analyzed in [6]. The effect of generator breaker, In modern systems, the peak load value is power plant including main (MT), unit usually increased and stressed conditions are occurred more than transformer (UT), station transformer (ST) and their numbers on past [1–3]. In this condition, the occurrence of any contingency the reliability of different types of busbar layouts is evaluated in may lead to instability. Power plants are the most strategic points [4].In[7], an approach to incorporate switching actions with dis- in power systems and their reliability has a great effect on the connects and circuit breakers in the reliability evaluation power system performance. Therefore, in recent years, studying of substation topologies are presented. In [8] the impacts of ele- the performance of power plants with the highest possible avail- ments active and passive failures on the performance of power ability has become one of the interesting subjects for researchers plant layout are examined. A tie-set based comprehensive method- [1]. Various factors affect on the reliability of an electrical substa- ology for quantitative reliability assessment of substation automa- tion or switchyard facility, one of them is the arrangement of tion systems is presented in [9]. The influence of HV breakers switching devices and buses. For the sake of busbar layouts effects advanced auto-diagnostic systems for improving the reliability of on the reliability, some modifications for busbar schemes have power-plant layout is discussed in [10]. As shown in [11], the gen- been suggested [1]. Also, additional parameters such as mainte- erator breaker has a great effect on the fault occurrence in power nance, operational flexibility, relay protection, cost and line con- transformer. It should be noted that, using the generator breaker nections should be considered in reliability assessment of improves the power plant availability and provides the possibility different substation configurations. The effect of substation type, of direct plant auxiliaries to-be-fed from the main net (EHV, trans- from view of insulation, for air insulation substation (AIS) and mission system) which is more reliable than the reserve net (local gas insulation substation (GIS) has been investigated in [4].In[5] sub-transmission system). Moreover, interruption due to short cir- the availability of various power substation architectures has been cuit currents in generator-fed is reduced. Also, the damages due to faults in being out of service duration are reduced, that increases the availability of the power-plant [1].In[1,12], the authors pres- ⇑ Corresponding author. Address: Daneshgah Boulevard, Islamic Azad University, ent a method based on the cut and path set theory to evaluate the Najafabad Branch, Najafabad, Isfahan, Iran. Tel.: +98 331 2291111-2522; fax: +98 influence of the generator breaker on the reliability of power plant 331 2291016. layouts. Although the cut–set theory is a basic method for reliabil- E-mail addresses: [email protected], [email protected] (M. Moazzami), [email protected] (R. Hemmati), [email protected] ity evaluation, but this method is restricted especially when the (F. Haghighatdar Fesharaki), rafi[email protected] (S. Rafiee Rad). number of elements is increased in under study test system. For

0142-0615/$ - see front matter Ó 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.ijepes.2013.06.019 988 M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993

Nomenclature

AC-OPF alternative current optimal power flow LOLE loss of load expectation AIS air insulation substation MT main transformer EENS expected energy not served MTTR minimum time to repair EHV extra OPF optimal power flow ELC expected load curtailment SMCS sequential Monte Carlo simulation FOR forced outage rate ST station transformer GIS gas insulation substation UT unit transformer ING Iran national grid

solving this problem, in this paper SMCS is used to reliability tion layouts such as two-breaker layout topology that simulta- assessment. SMCS is a suitable tool to deal with large scale system neously are equipped with generator breaker and bus-section. [13]. Although the simulation time in SMCS is more than the ana- Different cases with and without presence of bus-section and gen- lytically methods; but the reliability assessment is an off-line pro- erator breaker are investigated. The most commonly used reliabil- cedure and time is not an important factor [13–19]. ity indices such as EENS, LOLE and ELC are used to evaluate the This paper deals with reliability assessment in different types of reliability. Economical evaluation of the different layouts is power plant substation configurations. Karun III as one of the most studied. important hydro power plants in ING is considered as case study. Apart from above introductory, this paper is arranged in follow- Regarding the importance of the reliability, one and half circuit ing sections: In Section 2, different layout models are briefly breaker topology has been used in this substation. The main introduced. Reliability evaluation with SMCS is presented in purposes of this study are to evaluate the effect of the other substa- Section 3. Section 4 is devoted to the proposed method and system

(A) (B)

Fig. 1. (A) One and half-breaker system with bus-section set and generator breaker. (B) The general schematic of busbar layout in two-breaker system. D: ; B: breaker; G: generator; L: line; T: transformer. M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993 989 data are given in Section 5. Eventually the simulation results are Step 4: Remedial actions are performed. This is often an OPF provided in Section 6. model. The purpose of the model is to reschedule genera- tions, alleviate line overloading or voltage limit violations, 2. Different busbar layouts in substation and avoid load curtailments if possible, or minimize the total load curtailments if unavoidable. The basic structure of the busbar layouts in one and half and Step 5: Reliability indices based on results in Step 4 is updated. two-breaker power plants are depicted in Fig. 1. The Generator Step 6: Steps 1–5 are repeated until a stopping criterion is met. and transformer set are connected to the busbar layout through lines L11 and L12. The lines L21 and L22 are also external lines 3.1. Calculation of the reliability indices from busbar, which connect the power-plant to the main network. It should be noted that in ordinary condition, generator breakers In this paper the reliability of system is evaluated by EENS, and bus-sections are not available in all under study topologies. LOLE and ELC indices. EENS index is the expected amount of power The breaker-and-a-half scheme is configured with a circuit be- that is not supplied and LOLE is loss of load expectation and ELC tween two-breakers in a three-breaker line-up with two buses. In is expected load curtailment. These indices are calculated as many cases, this is the next development stage of a ring bus follows: arrangement. The configuration of one and half-breaker busbar P N Total amount of loss of load which is usually used in power-plant substations has high reliabil- EENS ¼ j¼1 ðMW h=yearÞð1Þ ity and flexibility. In this layout, three breakers are used for two Ns feeders that all breakers are normally closed. In this topology, even P if one of the buses be failed, the transmission power will be N Total hours of loss of load LOLE ¼ j¼1 ðhours=yearÞð2Þ provided without any interruption. This configuration provides NS suitable reliability; with proper operating relay protection and a P single circuit failure will not interrupt any other circuits. Further- N j¼1Total loss of MW more, a bus-section fault, unlike the ring bus layout, will not inter- ELC ¼ ðMW=yearÞð3Þ NS rupt any circuit loads. The structure of two-breaker busbar layout, which is common in extra high voltage power-plant substations, In all equation NS is the under study time period that is a year has very high reliability and flexibility. In this system, four break- for this study. The OPF associated with scenario-based SMCS is ers are used for two feeders. Essentially, one and half and two- used to calculate the proposed indices. In each scenario of the breaker systems are both expensive; however, two-breaker layout SMCS, a random number is generated for each component such has higher expense with respect to one and half-breaker system. In as line, generator, and breaker. Then, the components which their two-breaker system, one of the breakers is often out of service. random number is lesser than their failure rate are considered as It worth mentioning that, purpose of this paper is to study and uninstalled in that scenario. Then, the AC-OPF is performed to compare the most commonly used busbar layouts in extra high volt- determine the unsupplied power. The EENS is evaluated as the age power system. It should be noted that these two substation average of unsupplied powers related to all scenarios. switching arrangement especially one and half breaker system are the most common arrangement in 230 and 400 kV substations in ING. 4. The proposed methodology

3. Reliability modeling by using sequential Monte Carlo In this paper SMCS is used to calculate the reliability indices. simulation Fig. 2 shows the proposed method in details. In first in block A, a random number is generated for each component. Then in block In this paper, the reliability indices such as EENS, LOLE and ELC B, the components which their related random numbers is lesser are simulated by using SMCS and the approach of alternative cur- than FOR are considered as uninstalled. In block C, the AC-OPF is rent optimal power flow (AC-OPF). In order to reliability evalua- performed and unsupplied powers are calculated in block D. Also, tion, we should evaluate the reliability of each plan under a the repair time for the unsupplied components is calculated in given scenario. At the first, the system data (such as generation block E. this process is repeated to converge. After convergence, capacity and the expected load level) are specified in each scenario. the reliability indices are calculated by using Eqs. (1)–(3). The It is assume that system load follows a normal distribution; where, AC-OPF is completely presented in [20]. In this paper, the AC-OPF the mean and variance of load are estimated from historical data. is carried out by using power system analyzer toolbox [20]. SMCS is then employed. In iterations of simulation, system load is randomly generated based on the estimated normal distribution. 4.1. Economic evaluation of the busbar layouts Then AC-OPF is calculated and the amount of unsupplied power is recorded. After iterations are finished, the EENS is calculated as the In order to economical evaluation, two costs are considered as average amount of unsupplied power in the simulation process. follows: Steps of SMCS approach for system reliability evaluation includes the following basic steps [13–19]. i. Investment cost of layout such as cost of breakers and disconnector. Step 1: In first, all states of system are selected. This includes a ii. Cost of unsupplied powers. load level and states of all system components (up, down, or derated states). The unit of investment cost of layout is per ‘‘USA dollar’’ and Step 2: Power flow and contingency analysis for the selected unsupplied power is in ‘‘kW h/year’’. In order to comparison, these system state is performed to check if there is a system two costs are converted to ‘‘$/year’’ which is annual cost. Annual problem (overloading, voltage limit violations, isolated investment cost is calculated as follows [1]: buses, etc.). n Step 3: If there is no system problem; go back to Step 1 to select a ið1 þ iÞ AC ¼ C n ð4Þ new system state. Otherwise, go to Step 4. ð1 þ iÞ 1 990 M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993

money are provided in Table 1. The Reliability values of the ele- ments are presented in Table 2 [21–24]. Regarding the importance of the generators breakers, in this section, the effect of this breaker is analyzed. The reason of this importance is that, the generator breaker can significantly prevent from the possible dangers, especially explosion, in the generator transformers. It should be noted that the repairing of the main transformer in the case that the failure is not due to the explosion in the tank takes almost 1 month time and in the case of the tank explosion, it may take one year time. Therefore, using the genera- tor breaker leads to reducing the MTTR and also failure rate [1].It should be noted that generator reliability indices are improved as shown in Table 2, when generator breaker is used. Also generator breaker has less failure rate than other breakers; however its repair time is more than conventional breakers. Five cases are considered for simulation. Table 3 shows the related components to each case. These cases are as follows:

Case 1: System without bus-section and generator breaker. Case 2: System with only disconnector as a bus-section and without generator breaker.

Table 1 System data for economic evaluation.

Life cycle of plan (n) 30 years Annual growth rate of money (i) 10% Approximated cost of 400 kV breaker 165,000 $ Approximated cost of the generator breaker 220,000 $ Approximated cost of 400 kV disconnector 45,000 $ Approximated cost of 1 kW h energy 0.06 $

Fig. 2. The proposed method flowchart. Table 2 The parameter values of the elements for simulations.

Parameters elements kT (Failure per UT (Hour per rT In this equation, C is the total initial cost of the project (consist year) year) (Hour) of initial cost, installation, reparations and maintenance), A is the C G1–G2 0.08 10 100 annual cost; i stands for annual rate of growth of money, and n for G1a–G2a 0.065 8 80 the life-span of the project (per years). It should be noted that the T1–T2 0.0153 5.50 192 effective factors in annually benefits are: the changes in system L11–L12–L21–L22 0.01437 0.296 4.3 failure rate, the changes in time duration of equipments repairing, Breakers B1 ... B8 0.015 1 70 Breakers B9, B10 0.008 0.8 110 the maximum value of annually energy transferring from related Buses 1 and 2 0.01437 0.001 9.5 layout, and the cost of each kW h energy. Also, the annual cost of Disconnects D1 ... 0.010 0.02 4.0 unsupplied power is calculated as follows: D10

a The improved values of generator reliability indices when generator breaker is Annual cost of unsupplied power ð$=yearÞ used. ¼ EENS ðMW h=yearÞCost of energy ð$=MW hÞð5Þ

Thus, the total cost of a layout is calculated as sum of these two costs. It should be noted that in practice, the life time cost of sys- Table 3 tem consists of acquisition costs, civil work costs, installation costs, The components related to each case. maintenance costs and costs. But, in this study the installa- Disconnector in The set of Breaker and Generator tion and maintenance costs are considered and the others are buses 1 and 2 as a disconnector in buses 1 and breaker in each neglected. bus-section 2 as a bus-section generator terminal Case –– – 1 5. Under study system data p Case –– 2 p Karun III hydro power station contains 8 units that each one Case – – generates 250 MW in nominal condition. In this study, each of con- 3 pp p sidered system layouts has two bays in which there is a 250 MW Case 4 generator with terminal voltage 15.75 kV and a 15.75/400 kV and p Case –– 300 MVA transformer. The initial investing costs of the system ele- 5 ments, life cycle of the plan, and the annual growth rate of the M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993 991

Case 3: System with the set of breaker and disconnector as a Table 5 bus-section and without generator breaker. The reliability indices for two-breaker system. Case 4: System with the set of breaker and disconnector as a ELC (MW/year) LOLE (h/year) EENS (MW h/year) bus-section and generator breaker. Case 1 17.5524 18.4629 324.0674 Case 5: System with only generator breaker. Case 2 15.4360 18.8521 291.001 Case 3 18.3537 19.4338 356.6818 Case 4 13.1359 17.7647 233.3557 6. Simulation results Case 5 12.5373 16.1857 215.5906

The simulation results of the proposed method which has been accomplished by MATLAB software are presented in this section. improve the ELC, LOLE and EENS of the layouts in both one and half SMCS is sampled to convergence for each case. The simulation and two-breaker system. This issue shows the importance of gen- results of all cases for one and half-breaker system are provided erator breaker. Hence, generator breaker is a key component in in Table 4. As an example, the SMCS iterations and convergence power system reliability and protection. performance for 1.5 breaker case 3 is depicted in Fig. 3. It is clearly seen that, with increasing iterations, the output is converged. Table 4 shows that, with increasing power system com- 6.1. Comparison of the results for two busbar layouts ponents, the reliability index LOLE is growing up. But, the reliabil- ity index EENS depends to the system topology. Also, the The presented busbar topologies in this paper (one and half- simulation results of all cases for two-breaker system are provided breaker and two-breaker system) are the most commonly used in Table 5. In this state, such as the former one, with increasing the layouts in the power system. Thus, comparison of these layouts components of system, the reliability index LOLE is increased. from view of reliability and also economic is favorable. As shown The effect of two components should be discussed in more in Tables 4 and 5, it is clear that the two-breaker system is more details: bus-section and generator breaker. Bus-section can sec- reliable than one and half-breaker system. But in this topology 8 tionalize a bus to two sections. In this situation, one section can breakers are used, while, in the one and half-breaker system 6 be out of service, while the other section is in service. Thus, bus- breakers are installed. Therefore, two-breaker system has a more section affects on the system reliability and reduces the EENS. Also investing cost. Fig. 4 shows the reliability index EENS for two sys- the existence of bus-section, reduces the repair time significantly, tems. It is clearly seen that, in all cases, the two-breaker system is however failure rate of the system is increased. In case 4 which more reliable. the generator breaker is added to the system, the reliability index Comparison of two test cases in economical point of view is pre- EENS is significantly reduced. It should be noted that simultaneous sented in Table 6. It is seen that in all cases, the investment cost of using of the generator breaker and bus-section set in this case not two-breaker system is more than the other system, but its unsup- only improve the reliability indices of the system, but also reduce plied power cost is lower. Eventually, the total cost of one and half the system repair time significantly. Simulation results in Tables 4 breaker is lower than the two-breaker in all cases. Fig. 5 shows the and 5 show that using only the generator breaker in case 5 leads to comparison of total cost for two test systems. It is seen that one and half breaker system has lower cost than two-breaker system in all cases. Thus, one and half breaker system is a better choice Table 4 for installation in economical point of view. The reliability indices for one and half breaker system.

ELC (MW/year) LOLE (h/year) EENS (MW h/year) 6.2. Study the effect of components outage Case 1 28.1180 17.9592 504.9757 Case 2 24.8383 17.1079 424.9303 As referred before, generator breaker is an important Case 3 33.0219 19.2212 634.7228 Case 4 25.1364 16.1525 406.0166 component in power system. The other components such as Case 5 20.9826 12.3772 259.7058 generator are very important components too. Thus, it is suitable to study the effect of this component on the reliability indices. For this matter, the effect of generator FOR and generator breaker FOR are evaluated on the reliability indices for both one and half 60 and two-breaker layouts. Figs. 6–9 show the reliability indices versus generator and generator breaker FOR variation. Fig. 6 shows

50 the changes of EENS index versus FOR variation of generator. With increasing FOR, the EENS is increased, but the changes are not linear. Decreasing the FOR of generators is very discussing is- 40 sues in power systems. A generator with lower FOR is more reliable

30 700 600 LOLE (h/year) 20 500 400 300 10 200

EENS (MWh/Year) EENS (MWh/Year) 100 0 0 0 50 100 150 200 250 Case 1 Case 2 Case 3 Case 4 Case 5 Iterations One and half breaker Two breaker

Fig. 3. Monte Carlo iterations convergence for one and half breaker (case 3). Fig. 4. Comparison of EENS index for two test cases. 992 M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993

Table 6 Economical comparison of two test cases. System 1: One and half breaker system. System 2: Two-breaker system.

Case 1 Case 2 Case 3 Case 4 Case 5 System 1 System 2 System 1 System 2 System 1 System 2 System 1 System 2 System 1 System 2

Investment cost ($ 106) 1.53 2.04 1.62 2.13 2.04 2.55 2.48 2.99 1.97 2.48 Investment cost ($ 106/year) 0.16230 0.21640 0.17185 0.22595 0.21640 0.27050 0.26308 0.31718 0.20898 0.26308 Cost of unsupplied energy ($ 106/year) 0.03029 0.01944 0.02549 0.01746 0.03808 0.02140 0.02436 0.01400 0.01558 0.01293 Total cost ($ 106/year) 0.1926 0.23585 0.19734 0.24341 0.25449 0.29190 0.28744 0.33118 0.15582 0.27601

0.35 500 0.3 two-breaker /year) 6 0.25 450 one and half breaker 0.2 0.15 400 0.1 0.05 350

Total cost (($×10 Total 0 Case 1 Case 2 Case 3 Case 4 Case 5 300 One and half breaker Two breaker 250 Fig. 5. Comparison of total cost for two test cases. EENS (MWh/year) 200

1000 150 two-breaker 900 one and half breaker 100 800 4 5 6 7 8 9 10 11 12 FOR of generator breaker x 10-3 700 Fig. 8. EENS versos FOR variation of generators breaker. 600

500 and also more expensive. Thus, it is necessary to trade-off between 400 reliability and cost. Fig. 6 shows that decreasing FOR lower 0.06

EENS (MWh/year) 300 does not have a significantly effect on the reliability. So it is not necessary to make an expensive generator with FOR lesser than 200 0.06. Also, Fig. 7 shows the LOLE index versus FOR of generator. 100 The LOLE is increased along with increasing the FOR. The effect of generator breaker FOR is investigated in Figs. 8 and 0 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.12 9. It can be seen that with increasing the generator breaker FOR, FOR of generator the EENS and LOLE are increased. A generator breaker with lower FOR is more reliable and also more expensive. Thus, again it is nec- Fig. 6. EENS versos FOR variation of generators. essary to trade-off between reliability and cost.

30 24 two-breaker two-breaker one and half breaker one and half breaker 25 22

20 20

15 18 LOLE (h/year)

10 LOLE (h/year) 16

5 14

0 12 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.1 0.11 0.1 4 5 6 7 8 9 10 11 12 FOR of generator FOR of generator breaker x 10-3

Fig. 7. LOLE versos FOR variation of generators. Fig. 9. LOLE versos FOR variation of generators breaker. M. Moazzami et al. / Electrical Power and Energy Systems 53 (2013) 987–993 993

Fig. 8 shows that decreasing FOR lower 0.008 does not have a proceedings Bologna, Italy. 23–26 June 2003, 1: doi: http://dx.doi.org/10.1109/ significantly effect on the reliability. So it is not necessary to make PTC.2003.1304149. [5] Nack D. Reliability of substation configuration. 2005 Online available: . Figs. 6 and 8 show that EENS of one and half breaker system more [6] Dong Z, Koval DO, Propst JE. Reliability of various industrial substations. IEEE sensitive than two-breaker system in case of FOR variation of gen- Trans Ind Appl 2004;40(4):989–94. [7] Meeuwsen JJ, Kling WL. Substation reliability evaluation including switching erator and generator breaker. actions with redundant components. IEEE Trans Power Del 1997;12(4): 1472–9. 7. Conclusion [8] Vega M, Sarmiento HG. Algorithm to evaluate substation reliability with cut and path sets. IEEE Trans Ind Appl 2008;44(6):1851–8. [9] Hajian-Hoseinabadi H. Reliability and component importance analysis of In this paper reliability of two commonly used busbar layouts substation automation systems. Int. J. Electr. Power Energy Syst. 2013;49: was compared. Due to widely usage of these topologies in power 455–63. [10] Guenzi G, Politano D. EHV substations reliability improvement by means of system, the paper results are suitable for real world applications. circuit breakers auto diagnostic. In: IEEE Bologna power technical conference The proposed comparison was carried out from view of investment proceedings 23–26 June 2003, 1. cost and unsupplied power cost. Simulation results showed that [11] Culver B, Froelich K, Widenhorn L. Prevention of tank rupture of faulted power transformers by generator circuit breakers. Eur Trans Electr Power 1996;6(1): two-breaker layout is more reliable and also needs more invest- 39–45. ment cost; but, one and half breaker system needs lesser invest- [12] Banejad M, Hooshmand R, Moazzami M. Evaluation the effects of the ment cost and leads to more unsupplied power. Considering total synchronous generator on the reliability of bus layout in power plant substation in deregulated electricity market. In: International cost, the one and half breaker layout is more economical than EEM 2008 conference, Lisbon, Portugal 1–6, 28–30 May 2008, 1–6: doi: http:// the other topology. Simulation results show that how we can pro- dx.doi.org/10.1109/EEM.2008.4579114. vide a trade-off between reliability and cost with regard to the FOR [13] Rei M, Schilling MT. Reliability assessment of the Brazilian power system using enumeration and Monte Carlo. IEEE Trans Power Syst 2008;23(3):1480–7. variation of components. With regard to the importance of reliabil- [14] Arya LD, Choube SC, Arya R, Tiwary A. Evaluation of reliability indices ity assessment in power systems, following issues are suggested as accounting omission of random repair time for distribution systems using further work in this field: Monte Carlo simulation. Int J Electr Power Energy Syst 2012;42(1):533–41. [15] Billinton R, Li W. Reliability assessment of electric power systems using Monte Carlo methods. 1st ed. New York: Springer; 1994. (a) Reliability assessment with consideration of uncertainty in [16] Billinton R, Tang X. Selected considerations in utilizing Monte Carlo simulation generation system. in quantitative reliability evaluation of composite power systems. Electr (b) Reliability assessment from view of private generation com- Power Syst Res 2004;69(2–3):205–11. [17] Justino TC, Tancredo Borges CL, de Melo ACG. Multi-area reliability evaluation panies which aim at maximizing profit instead of minimiz- including frequency and duration indices with multiple time varying load ing cost. curves. Int J Electr Power Energy Syst 2012;42(1):276–84. (c) Considering aging in components. [18] Ashok Bakkiyaraj R, Kumarappan N. Optimal reliability planning for a composite based on Monte Carlo simulation using (d) Evaluation of reactive power effects on the reliability. particle swarm optimization. Int J Electr Power Energy Syst 2013;47:109–16. [19] Dzobo O, Gaunt CT, Herman R. Investigating the use of probability distribution functions in reliability-worth analysis of electric power systems. Int J Electr Power Energy Syst 2012;37(1):110–6. References [20] Milano F. Power System Analysis Toolbox, version 2.1.6; 2010. [21] Retterath B, Chawdhurg AA, Venkata SS. Decupled substation reliability [1] Hooshmand R, Ataei M, Moazzami M. Effect of the bus-section and generator- assessment. Int J Electr Power Energy Syst 2005;27(9–10):662–8. breaker on reliability indices of busbar schemes in power plant. Int J Elect [22] Suwantawat P, Premrudeeprechacharn S. Reliability evaluation of Substation Power Eng 2009;3(4):215–22. delivery point with time varying loads. In: IEEE International Conference on [2] Chang L, Wu Z. Performance and reliability of electrical power grids under Electric Utility Deregulation, Restructuring and Power Technologies (DRPT), cascading failures. Int J Electr Power Energy Syst 2011;33(8):1410–9. vol. 2, 5–8 April 2004. p. 611–6. [3] Rodrigues AB, Da Silva MG. Chronological simulation for transmission [23] Billinton R, Zhou J. Generalized n+2 state system markov model for station- reliability margin evaluation with time varying loads. Int J Electr Power oriented reliability evaluation. IEEE Trans Power Syst 1997;12(4):1511–7. Energy Syst 2011;33(4):1054–61. [24] Endrenyi J. Reliability modeling in electrical power system. USA: John Wiley & [4] Braun D, Granata F, Delfanti M, Palazzo M, Caletti M. Reliability and economic Sons; 1980. ISBN: 0-471-99664-5. analysis of different power station layouts. In: IEEE Power technical conference