RVII Testing on Tenaga Power System

Dino Lelic, Rahul Anilkumar, Boza Avramovic, Tony Jiang, Damir Novosel Quanta Technology LLC

Nik Sofizan B Nik Yusuf , Sheikh Kamar Sheikh Abdullah, Muhammad Tarmizi Azmi , Mohd Khairun, Nizam Mohd Sarmin Tenaga Nasional Berhad NASPI International Synchrophasor Symposium Atlanta, Georgia Quanta Technology, LLC 4020 Westchase Blvd. March 22-24, 2016 Raleigh, NC 27607, USA www.quanta-technology.com Confidential & Proprietary | Copyright © 2015 Confidential & Proprietary | Copyright © 2016 RVII Foundation Fundamentally, local voltage instability detector

■ Just like a relay, real time computation that uses only local information (no network model needed) ■ Unlike a relay , able to avoid point #1 (figure a & b), and includes point #2

(a) (b) System impedance, vs load impedance 1 0.8 System X 0.7 Load X 0.98

0.6 0.96

0.5 0.94 0.4 0.92 0.3

0.9 0.2

0.88 0.1

0.86 0 0 50 100 150 0 50 100 150

Slide 2 Confidential & Proprietary | Copyright © 2016 RVII Algorithm Types

■ Bus RVII ■ Area RVII ■ Corridor RVII • Leverages Bus RVII and analytical computation of the corridor to improve quality of Equivalent parameters

Slide 3 Confidential & Proprietary | Copyright © 2016 Uses of RVII’s System View

■ Three stage approach to meet objectives

■ Real Time voltage instability DETECTION ■ WHAT IF analysis: • Extrapolation − Margin to Instability − Margin to Operating boundary

• Predictions − Margin to Instability − Margin to Operating boundary

Slide 4 Confidential & Proprietary | Copyright © 2016 RVII Margins Extrapolation vs. Prediction

■ Extrapolation • Constant power factor load increase until boundaries reached • System equivalent params kept fixed ■ Prediction • Additional information used (hybrid of RT model-less, and much slower 5000 Operating Point model-based) Operation Limit Collapse Limit − To define more accurately load change 0 path -5000 − To update equivalent parameters as a

function of load increase -10000 − Plot reactive power margin -15000 ■ RVII implements Extrapolation

-20000 0 5000 10000 15000

Slide 5 Confidential & Proprietary | Copyright © 2016 Problem Background

■ Three main power utilities in : TNB, SESB & SEB

Slide 6 Confidential & Proprietary | Copyright © 2016 Problem Background

PERLIS LANGKAWI Chuping Kangar

Kuah TTPC

Kota Setar Alor Setar

KEDAH Gurun Tanah Merah Bedong Sg. Petani PERGAU PRAI Georgetown Butterworth PULAU PINANG Bukit Tengah TEMENGOR Kuala Kulim BERSIA Junjung KENERING SG PIAH UPPER SG PIAH LOWER Kuala Berang CHENDEROH KENYIR Gua Musang Kuala Kangsar TERENGGANU Taiping PERAK PAKA Ipoh

Papan YTL Batu Gajah SEGARI Kampar JOR Ayer Tawar Telok Kalong Seri Iskandar Kuala Lipis Dungun Lumut WOH JANAMANJUNG ODAK Jerantut Teluk Intan High Load Kuala Kubu Baru Mentakab DemandBukit Tarek Kg Awah Bentong Temerloh

KL (N) KLWILAYAH (E) PERSEKUTUAN KL (S) SERDANG CONNAUGHT BRIDGE Hicom G Muadzam Shah

Banting NEGERI SEMBILAN GENTING SANYEN Salak Tinggi Kuala Pilah Seremban Gemas PD POWER

TJPS POWERTEK MELAKA Melaka PAHLAWAN Melaka MELAKA (N)

Batu Pahat

Skudai YTL Pontian Kechil PASIR GUDANG

Slide 7 Confidential & Proprietary | Copyright © 2016 TNB Testing Background

■ Quanta Technology(QT) and Tenaga Nasional Berhad (TNB) worked together on integrating RVII functionality with their OpalRT simulator, which uses a complete transient stability model of TNB bulk power system. ■ Testing was extensive, using a combination of • Time domain transient simulations (PSS/E) in a preliminary tuning and testing stage • Software in the loop simulations (OpalRT) ■ Tests clearly indicate the capability of RVII to correctly distinguish voltage stable from unstable cases • Referring to Slide #2, it correctly characterizes points #1 and points #2 • For example, RVII was able to detect proximity to voltage instability when relatively high voltages would have masked the actual proximity to voltage collapse if viewed only through SCADA data (or under-voltage relays). ■ Currently implementations of RVII algorithm in TNB’s embedder controllers are being carried out for Hardware in the loop testing.

Slide 8 Confidential & Proprietary | Copyright © 2016 Offline Testing Environment

■ Prior to RT Deployment, RVII List Branches Identify Volt-weak deployed in test environment (for flows and volts) buses For an RVII location

• Comprehensive TNB transient PSS/E case PSS/E MATLAB/LINUX MONO MATLAB COM stability model used (.raw, PSS/E Dyn. Results ENVIRONMENT INTERFACE .dyr,.idev − PSSE – based fies)

• Establish RVII locations, Python Scripts/ RVII DLL/.P suitable inputs, and verify Response files ACCC tools, accuracy CON files ■ At TNB OpalRT-based “deployment” List of • scenarios (TNB − Entire TNB network approved) − Physical and Virtual PMUs • Next Step – in progress: Input: PSSE case; output plots of − Implementation in TNBs Thevenin and “Load” Impedance embedded controller − Hardware in the loop setup

Slide 9 Confidential & Proprietary | Copyright © 2016 Example 1: Interface @ base Power Transfer • Impact of outage at Zero Transfer Level on critical TNB interface • This references post - outage condition • Low voltages in the vicinity of the study zone, but • Clear separation between Thevenin and Load Impedances • The conclusion: system voltage stable • Fig. below shows system operating further away (wider margin) from operational or collapse limits.

1000 Operating Point Operation Limit 500 Collapse Limit

Note: in this case 0

voltage was relatively -500 low -1000

-1500

-2000

-2500

-3000

-3500

-4000 0 500 1000 1500 2000 2500 3000 3500 4000

Slide 10 Confidential & Proprietary | Copyright © 2016 Example 2: Interface @ Maximum Power Transfer

• Impact of outage at Interface Transfer limit. • Path TTC limited by transient stability problem. • RVII successfully detects instability • System is operating with close to zero margins, at the boundary of instability limits.

RVII detects instability System operating at limits

1000 Operating Point Operation Limit 500 Collapse Limit

0

-500

-1000

Note: in this case -1500

voltage was -2000 relatively high -2500

-3000 0 500 1000 1500 2000 2500

Slide 11 Confidential & Proprietary | Copyright © 2016 Under-voltage Relay Example Double Contingency to Load Pocket ■ Drastic action may be taken on voltages of 0.95 p.u to prevent instability. ■ RVII would show, however, that system is far from collapse (verified by PSS/E time domain simulations).

System impedance, vs load impedance 1.8 System X 1.6 Load X

1.4

1.2

1

0.8

0.6

0.4

0.2

0 0 20 40 60 80 100 120

UVLS Triggers Very insignificant change in Thevenin Impedance

Slide 12 Confidential & Proprietary | Copyright © 2016 Stability Detection at Brink of UVLS Trigger

■ RVII successfully identifies separation between system and load impedances, indicating a stable system condition. ■ Absent RVII, drastic under-voltage action might be taken at voltages of 0.95 pu to prevent instability.

System impedance, vs load impedance 0.8 1 System X 0.7 Load X 0.98

0.6 0.96

0.5 0.94

0.4 0.92 0.3 0.9 0.2

0.88 0.1

0.86 0 50 100 150 0 0 50 100 150

UVLS Triggers Insignificant change in Thevenin Impedance

Slide 13 Confidential & Proprietary | Copyright © 2016 Loss of Source to Radial Load Pocket

■ RVII successfully identifies separation between system and load impedances, indicating a stable system condition even in scenarios with loss of source supply to radial load pocket. ■ Also verified through simulation (PSS/E), is the impact of additional dynamic compensation triggered within the load pocket that moves the system away from instability.

System impedance, vs load impedance 0.8 1.02 System X 0.7 Load X 1.01

0.6 1

0.5 0.99 0.4

0.98 0.3

0.2 0.97

0.1 0.96

0 0 20 40 60 80 100 120 0.95 0 20 40 60 80 100 120

Slide 14 Confidential & Proprietary | Copyright © 2016 Concluding Remarks

■ Model-free algorithm, like RVII, requires extensive validation via simulation ahead of deployment ■ A Real-Time test- bed, like the one available at TNB, or a batch simulation testbed as used in house is crucial to validate results ■ RVII in a pure model-free implementation is suitable for instability Detection and Extrapolation (both important when close to instability); Prediction (which is important when far from instability) requires a hybrid approach ■ Work being pursued in direction of contingency- based RVII -- showing promising results. ■ Several applications leveraging benefits of RVII results, such as RVII-triggered load shedding, are currently being validated.

Slide 15 Confidential & Proprietary | Copyright © 2016 Thank You!

Quanta Technology, LLC 4020 Westchase Blvd Raleigh NC, 27607 www.quanta-technology.com

Confidential & Proprietary | Copyright © 2016