Spinning Reserve Allocation Model Accommodating Large-scale Wind Power Integration

doi:10.11985/2022.04.028

Abstract

Abstract:

Spinning reserve allocation is a critical problem for the power dispatch with large-scale wind power penetration. A risk-based reserve allocation model is proposed which considers the coordination of different control area. The proposed model is suitable for rolling dispatch. The relationship between the expectation of loss load and spinning reserve is analyzed. The solutions are given for each control area’s reserve optimization problem. A particle swarm optimization method is used to solve the proposed model and numerical tests on IEEE 24 system are also given.

Key words: Wind power, rolling spinning reserve sub-area allocation, risk decision-making, loss of load expectation ratio, fuzzy optimization

CLC Number:

TM561

WANG Bin, WEI Lianbin, WANG Ying. Spinning Reserve Allocation Model Accommodating Large-scale Wind Power Integration[J]. Journal of Electrical Engineering, 2022, 17(4): 268-274.

Figures/Tables 8

References 20

[1]	邓恩思. 大型风电场运行的特点及并网运行的问题[J]. 能源研究与利用, 2010, 4:8-11.
	DENG Ensi. A research on operation characteristics of large grid-connected wind farm[J]. Energy Research & Utilization, 2010, 4:8-11.
[2]	ACKERMANN T. Wind power in power systems[M]. Chichester: John Wiley & Sons Ltd., 2005.
[3]	TUOHY A, MEIBOM P, DENNY E, et al. Unit commitment for systems with significant wind penetration[J]. IEEE Trans. Power Syst., 2009, 24(2):592-601. doi: 10.1109/TPWRS.2009.2016470
[4]	ILIC M D, XIE L, JOO J Y. Efficient coordination of wind power and price-responsive demand-part I:Theoretical foundations[J]. IEEE Trans. Power Syst., 2009, 26(4):1875-1884. doi: 10.1109/TPWRS.2011.2129542
[5]	张国强, 吴文传, 张伯明. 考虑风电接入的有功运行备用协调优化[J]. 电力系统自动化, 2011, 35(12):15-19.
	ZHANG Guoqiang, WU Wenchuan, ZHANG Boming. Optimization of operation reserve coordination considering wind power integration[J]. Automation of Electric Power Systems, 2011, 35(12):15-19.
[6]	MIN Liang, STEPHEN T L, ZHANG Pei, et al. Short-term probabilistic transmission congestion forecasting[C]// 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies(DRPT2008),April 6-9,Nanjing,China, IEEE, 2008:764-770.
[7]	CHEN C L, LEE T Y. Impact analysis of transmission capacity constraints on wind power penetration and production cost in generation dispatch[C]// International Conference on Intelligent Systems Applications to Power Systems,November 5-8,2007. Toki Messe,Niigata,Japan. IEEE, 2007:1-6.
[8]	DOHERTY R, O’MALLEY M. A new approach to quantify reserve demand in systems with significant installed wind capacity[J]. IEEE Trans. on Power Systems, 2005, 20(2):587-595. doi: 10.1109/TPWRS.2005.846206
[9]	SUN H B, ZHANG B M. A systematic analytical method for quasi-steady-state sensitivity[J]. Electric Power Systems Research, 2002, 63(3):141-147. doi: 10.1016/S0378-7796(02)00094-9
[10]	LIANG R H, LIAO J H. A fuzzy-optimization approach for generation scheduling with wind and solar energy systems[J]. IEEE Trans. on Power Systems, 2007, 22(4):1665-1674. doi: 10.1109/TPWRS.2007.907527
[11]	VENKATESH B, SADASIVAM G, KHAN M A. A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique[J]. IEEE Trans. on Power Systems, 2000, 15(2):844-851. doi: 10.1109/59.867183
[12]	VENKATESH B, YU P, GOOI H B, et al. Fuzzy MILP unit commitment incorporating wind generators[J]. IEEE Trans. on Power Systems, 2008, 23(4):1738-1746. doi: 10.1109/TPWRS.2008.2004724
[13]	FABBRI A, GOMEZ T, ROMAN S, et al. Assessment of the cost associated with wind generation prediction errors in a liberalized electricity market[J]. IEEE Trans. on Power Systems, 2005, 20(3):1440-1446. doi: 10.1109/TPWRS.2005.852148
[14]	BILLINTON R, GHAJAR R. Evaluation of the marginal outage costs of generating systems for the purposes of spot pricing[J]. IEEE Transactions on Power Systems, 1994, 9(1):68-75. doi: 10.1109/59.317556
[15]	刘海涛, 孙元章, 程林, 等. 计及多状态元件模型的系统状态快速排序技术[J]. 电力系统自动化, 2008, 32(1):16-21.
	LIU Haitao, SUN Yuanzhang, CHENG Lin, et al. Fast sorting technique considering multi-state component models[J]. Automation of Electric Power Systems, 2008, 32(1):16-21.
[16]	ORTEGA-VAZQUEZ M A, KIRSCHEN D S. Security provision in systems with large penetration of wind power generation[C]// IEEE Power and Energy Society General Meeting,July 25-29,2010. Minneapolis,MN. USA. IEEE, 2010:1-8.
[17]	KENNEDY J, EBERHART R. Particle swarm optimization[C]// IEEE Proceedings of the International Conference on Neural Networks. Nov. 27-Dec. 1,Perth,Australia. IEEE, 1995:1942-1948.
[18]	KENNEDY J, EBERHART R. Swarm intelligence[M]. San Francisco: Morgan Kaufmann Publishers, 2001.
[19]	WANG S J, SHAHIDEHPOUR S M, KIRSCHEN D S, et al. Short-term generation scheduling with transmission and environmental constraints using an augmented lagrangian relaxation[J]. IEEE Trans. Power Syst., 1995, 10(3):1294-1301. doi: 10.1109/59.466524
[20]	ALBRECHT P F. IEEE reliability test system:A report prepared by the reliability test system task force of the application of probability methods subcommittee[J]. IEEE Trans. Power Apparatus and Syst., 1979, 98(6):2047-2054.