Research Article Improved Solutions for the Optimal Coordination of Docrs Using Firefly Algorithm

Research Article Improved Solutions for the Optimal Coordination of Docrs Using Firefly Algorithm

Hindawi Complexity Volume 2018, Article ID 7039790, 15 pages https://doi.org/10.1155/2018/7039790 Research Article Improved Solutions for the Optimal Coordination of DOCRs Using Firefly Algorithm Muhammad Sulaiman , Waseem, Shakoor Muhammad, and Asfandyar Khan Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, Pakistan Correspondence should be addressed to Muhammad Sulaiman; [email protected] Received 9 October 2017; Revised 24 December 2017; Accepted 11 January 2018; Published 11 February 2018 Academic Editor: Arturo Buscarino Copyright © 2018 Muhammad Sulaiman et al. Tis is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Nature-inspired optimization techniques are useful tools in electrical engineering problems to minimize or maximize an objective function. In this paper, we use the frefy algorithm to improve the optimal solution for the problem of directional overcurrent relays (DOCRs). It is a complex and highly nonlinear constrained optimization problem. In this problem, we have two types of design variables, which are variables for plug settings (PSs) and the time dial settings (TDSs) for each relay in the circuit. Te objective function is to minimize the total operating time of all the basic relays to avoid unnecessary delays. We have considered four models in this paper which are IEEE (3-bus, 4-bus, 6-bus, and 8-bus) models. From the numerical results, it is obvious that the frefy algorithm with certain parameter settings performs better than the other state-of-the-art algorithms. 1. Introduction DOCRs are supplied in electrical power systems to disable the faulted portions of the power systems. Te problem of Power systems in electrical engineering function at contrary DOCRs is to decide which portions of the system are to voltage levels ranging from 415 V to 400 KV or even more. function during a fault so that the faulty part is detached and Power systems consist of three parts: production, supply, and does not stop the whole system, with certain constraints like usage of the power generated. Moreover, supply lines, which adequate coordination tolerance and without extra disrup- transmit the power, are not insulated. Tese lines undergo tions. Tis procedure is mainly based on the networking of irregularities more ofen than other domains of the system the system, nature of relays, and other protection measures due to several causes like production of overcurrent due to as in [2]. We have two types of design variables: variables for lightening. Tese irregularities disrupt the provision of power plug settings (PSs) and the time dial settings (TDSs) for each and ofen result in the impairment of the other equipment relay in the circuit. Afer optimizing the design settings, the attached to the power system. Tus, it is necessary to take faulty lines are isolated, thus ensuring continuous supply of protective measures in case this happens. To overcome this power to the remaining parts of the system. difculty, overcurrent relays (OCRs) are commonly used as In this article, the problem of DOCRs in a power system a safety strategy in the power system to avoid disruption in is handled with the frefy algorithm (FA) using the standard power supply and other technical faults. Hence, directional benchmark IEEE (3-, 4-, 6-, and 8-bus, resp.) systems [1, 3– OCRs are easy to use and are an economic option for the 5], as presented in Figures 8, 9, 10, and 11. Te two types of safety of the attached subtransmission power systems and decision variables are named PS and TDS. Te objective of secondary layer of backup protection in transmission systems this problem is to minimize the total operating time taken [1]. by primary relays. Primary relays are expected to isolate the During the design of a power system, the coordination of faulty lines satisfying the constraints on design variables. these DOCRs is an important aspect to keep in mind. DOCRs Te rest of the paper is organized as follows. In Section 2, are logical elements and are placed at both ends of a line, we briefy recall diferent algorithms used in the literature which helps the breaker in case any fault arises. Moreover, to solve the problem of DOCRs. In Section 3, we elaborate 2 Complexity the mathematical formulation of the problem. Te frefy directions. Tese relays operate when current fow is detected algorithm (FA) is recalled in Section 4. Parameter settings in the opposite direction. Loop systems and parallel feeders and statistical and graphical results are discussed in Section 5. include DOCRs, because these feeders have current fowing Section6concludesthepresentstudy. from both ends. Tere are two units of a DOCR; the frst unit, which is known as the instantaneous current settings, is activated 2. Literature Review when the current is above a defned threshold. On the other hand, when the current is below a defned limit, time-delay Initially, a trial-and-error approach was used by researchers, unit is operated. Tis unit is activated when a fault happens whichconsumedalargenumberofiterationstoreachan with a time delay. Tese are two types of settings associated optimal relay setting. Tus, many scientists and researchers with the delay unit, which are named as follows: adopted the setting of DOCRs, depending on experience. In particular, although [1] uses linear programming, however, (i) Time dialing settings (TDSs) it also uses a change of variables to convert the nonlinear (ii) Plug settings (PSs) (e.g., tap setting) problem to a linear problem, without any approximation. Te problemissolvedlinearlyintermsoftheTDSandPSvari- Te TDS points out the delayed relay, whenever the value ables, and then afer the linear solution is reached, the roots of fault current either reaches or exceeds the picking current of these nonlinear expressions (TDS and PS) must be found value. PS represents a value of the picking current for a relay to reach the solution for TDS and PS. In [1], the application of [2]. optimization techniques was frst reported for this problem. Aliteraturereviewonthisproblemcanbefoundin[2]. 3.1. Problem Formulation and Explanation. Te mathemati- Previously, the problem of DOCRs was handled with diferent cal formulation of the problem is the same as given in [4]. techniques, like curve ftting, graph theoretical approach, We have tackled the problem with the frefy algorithm. Te andclassicaloptimizationtechniques.Furthermore,aversion relay working time is a nonlinear relation of the dependent � of sparse dual revised simplex algorithm was used to solve variables TDS and PS and the fault current denoted by the problem assuming nonlinear PS settings to optimize the observed by the corresponding relay. So, the equation for the remaining variables as for TDS settings [6]. Other techniques relay operating time is given by in linear programming, to solve the problem of DOCRs, used � ( ) �= TDS , by [7–10] have optimized the TDS and PS settings using � (1) (1/ (PS)(CT)) −� the simplex algorithm and the Rosenbrock hill-climbing algorithm to solve the problem. and the variables TDS and PS are to be determined. �, �,and Nature-inspired algorithms (NIAs) and artifcial intelli- � take the values 0.14, 0.02, and 1.0, respectively, as per [IEEE gence (AI) based techniques have been gaining the attention Std. (1997)]. Tese constants defne the behavior of DOCR of researchers recently [12, 13]. Te NIAs which have been in terms of operating time. Te value of CT keeps a level of pri used to tackle the problem of DOCRs include, but are not current which is suitable for a relay. And CT defnes the limited to, particle swarm optimization (PSO) [14, 15], genetic number of windings in a current transformer (CT). Each relay pri algorithm (GA) [4, 16], modifed evolutionary programming, is attached to a “CT,” which makes CT a known value. Te and evolutionary programming. Expert systems [17–20] and fault current represented by � is continuously measured by fuzzy logic [21] are applications of AI algorithms to tackle the instruments. Te line in the system is directly proportional problem of DOCRs. A random search algorithm (RST-2) was to the number of constraints. Details of lines involved in applied to tackle the problem of DOCRs using IEEE 6-, 4-, diferent systems are furnished in Table 6. It is worth noting and 3-bus models, respectively [2]. that, in real power systems, several types of relays operate Firefy algorithm (FA) is a well-known and reliable besides DOCRs. Te involvement of other types of relays nature-inspired algorithm for solving complex and highly along with DOCRs further complicates the problem by nonlinear constrained optimization problems, and as far as imposing more constraints as shown in Table 6. the authors know FA is not implemented for optimization of DOCR settings using IEEE 3-, 4-, 6-, and 8-bus systems which 3.2. Te Objective and Limitations of the Problem. DOCRs are presented in this paper. We have implemented FA to need to be coordinated optimally, where optimization tech- solvetheproblemofDOCRsettingsandtheoutcomesofour niques, like frefy algorithm, minimize the corresponding simulations are compared with other state-of-the-art algo- objective function according to boundary and coordination rithms. limitations. Te primary relay is used to clear the fault. Te close-in fault is a fault which is close to the relay while a fault occurringatafarendiscalledafar-busfault.Byconvention, 3. Problem Formulation the objective function is the summation of the operation time Determining the direction of fow of current in an electrical of all initial relays which clears any close-in and far-bus faults. circuit is the job of a protection system placed in a circuit. Te objective function is given by In case a fault arises, the protection system passes the signals �cl �far to the associated switch. DOCRs are useful tools to handle = ∑�� + ∑�� .

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