Load Adjustment Strategy Based on Sensitivity Analysis During Network Reconfiguration of Blackout System

doi:10.11985/2017.05.011

Abstract

Abstract:

During power system restoration, it is necessary to restore the load for balancing the increasing output of the generator, but the restoration of load may cause over-voltage of restored nodes, which would affect the safety of power system recovery. In this paper, based on the sensitivity approach, the load distribution scheme is presentedto satisfy the voltage requirements of each node. Firstly, based on the power flow calculation, the sensitivities between the most severityover-voltage node and other load nodes are calculated. The load adjust capacity of the most sensitive load node is calculated according to its sensitivity, which is equal allocated to other load nodes. Above steps will berecalled untilthe voltages of all nodes are security. The validity of the proposed method is verified in IEEE 39-bus testing system.

Key words: Blackout, sensitive, load adjustment, power grid reconfiguration

CLC Number:

TM714
V44

Yiling Shi,Fulong Ma,Qian Zhou,Chenggen Wang,Xi Chen. Load Adjustment Strategy Based on Sensitivity Analysis During Network Reconfiguration of Blackout System[J]. Journal of Electrical Engineering, 2017, 12(5): 71-75.

Figures/Tables 4

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References 18

[1]	唐斯庆, 张弥, 李建设, 等. 海南电网“9·26”大面积停电事故的分析与总结[J]. 电力系统自动化, 2006,30(1):1-7.
	Tang Siqing, Zhang Mi, Li Jianshe, et al. Review of blackout in hainan on september 26th--causes and recommendations[J]. Automation of Electric Power Systems, 2006,30(1):1-7.
[2]	葛睿, 董昱, 吕跃春. 欧洲"11.4"大停电事故分析及对我国电网运行工作的启示[J]. 电网技术, 2007,31(3):1-6.
	Ge Rui, Dong Yu, Lv Yuechun. Analysis of large-scale blackout in UCTE power grid and lessons to be drawn to power grid operation in China[J]. Power System Technology, 2007,31(3):1-6.
[3]	Fink L H, Liou K L, Liu C C. From generic restoration actions to specific restoration strategies[J]. IEEE Transactions on Power Systems, 1995,10(2):745-752. doi: 10.1109/59.387912
[4]	Ancona J J. A framework for power system restoration following a major power failure[J]. IEEE Transactions on Power Systems, 1995,10(3):1480-1485. doi: 10.1109/59.466500
[5]	余贻鑫, 段刚. 基于最短路算法和遗传算法的配电网络重构[J]. 中国电机工程学报, 2000,20(9):44-49.
	Yu Yixin, Duan Gang. Shortest path algorithm and genetic algorithm based distribution system reconfiguration[J]. Proceedings of the CSEE, 2000,20(9):44-49.
[6]	刘映尚, 吴文传, 冯永青, 等. 黑启动过程中的负荷恢复[J]. 电网技术, 2007,31(13):17-22.
	Liu Yingshang, Wu Wenchuan, Feng Yongqing, et al. Load recovery during power system blackstart[J]. Power System Technology, 2007,31(13):17-22.
[7]	陈小平, 顾雪平. 基于遗传模拟退火算法的负荷恢复计划制定[J]. 电工技术学报, 2009,24(1):171-175.
	Chen Xiaoping, Gu Xueping. Determination of the load restoration plans based on genetic simulated annealing algorithms[J]. Transactions of China Electrotechnical Society, 2009,24(1):171-175.
[8]	石立宝, 赤东阳, 姚良忠, 等. 基于电网分区的负荷恢复智能优化策略[J]. 电力系统保护与控制, 2011,39(2):1-7. doi: 10.7667/j.issn.1674-3415.2011.02.001
	Shi Libao, Chi Dongyang, Yao Liangzhong, et al. Intelligent optimizaiton strategy for load restoration considering power grid partitioning[J]. Power System Protection and Control, 2011,39(2):1-7. doi: 10.7667/j.issn.1674-3415.2011.02.001
[9]	钟慧荣, 顾雪平, 朱玲欣. 黑启动恢复中网架重构阶段的负荷恢复优化[J]. 电力系统保护与控制, 2011,39(17):26-32. doi: 10.7667/j.issn.1674-3415.2011.17.006
	Zhong Huirong, Gu Xueping, Zhu Lingxin. Optimizaiton of load restoration during network reconfiguring process of black-start restoration[J]. Power System Protection and Control, 2011,39(17):26-32. doi: 10.7667/j.issn.1674-3415.2011.17.006
[10]	Liu W, Lin Z, Wen F, et al. A wide area monitoring system based load restoration method[J]. IEEE Transactions on Power Systems, 2013,28(2):2025-2034. doi: 10.1109/TPWRS.2013.2249595
[11]	程改红, 徐政. 基于粒子群优化的最优负荷恢复算法[J]. 电力系统自动化, 2007,31(16):62-65.
	Cheng Gaihong, Xu Zheng. Optimal load restoration algorithm based on PSO[J]. Automation of Electric Power Systems, 2007,31(16):62-65.
[12]	杨可, 刘俊勇, 贺星棋, 等. 黑启动中考虑动态过程的负荷最优恢复[J]. 电力自动化设备, 2009,29(10):88-92.
	Yang Ke, Liu Junyong, He Xingqi, et al. Optimal load restoration consdering dynamic process during blackstart[J]. Electric Power Automation Equipment, 2009,29(10):88-92.
[13]	孟波, 孟现岭, 靳玉凯, 等. 灵敏度分析法在静态电压稳定中的应用[J]. 技术与市场, 2014(4):50-51.
	Meng Bo, Meng Xianling, Jin Yukai, et al. The application of sensitivity analysis in static voltage stability[J]. Technology and Market, 2014(4):50-51.
[14]	段献忠, 袁骏, 何仰赞, 等. 电力系统电压稳定灵敏度分析方法[D]. 武汉华中科技大学, 1997.
[15]	曾水根, 丁俊健, 刘万斌. 基于逆波算法实现的电力故障数据分析公式编辑器[J]. 电气应用, 2016,35(14):56-58.
[16]	孙宏斌, 张伯明, 相年德. 准稳态灵敏度的分析方法[J]. 中国电机工程学报, 1999,19(4):9-13.
	Sun Hongbin, Zhang Boming, Xiang Niande. New sensitivity analysis method under quasi-steady-state for power systems[J]. Proceedings of the CSEE, 1999,19(4):9-13.
[17]	王景亮, 张焰, 王承民, 等. 基于灵敏度分析与最优潮流的电网无功/电压考核方法[J]. 电网技术, 2005,29(10):65-69.
	Wang Jingliang, Zhang Yan, Wang Chengmin, et al. Power system reactive power/voltage assessment based on sensitivity analysis and optimal power flow[J]. Power System Technology, 2005,29(10):65-69.
[18]	程改红, 徐政. 电力系统故障恢复过程中的过电压控制[J]. 电网技术, 2004,28(11):29-33.
	Cheng Gaihong, Xu Zheng. A method to control sustained overvoltage during power system restoration[J]. Power System Technology, 2004,28(11):29-33.

时步	起动机组	恢复路径	总恢复时间 /min
1	32	31→6→11→10→32	20
2	33	6→5→4→14→15→16→19→33	55
3	36	16→24→23→36	70
4	35	16→21→22→35	85
5	30	4→3→2→30	100
6	37	2→25→37	110
7	34	19→20→34	120
8	38	3→18→17→27→26→29→38	150
9	39	5→8→9→39	165

节点编号	电压 (pu)	发电有功 /MW	发电无功 /Mvar	负荷有功 /MW	负荷无功 /Mvar	无功补偿 /Mvar
4	1.0910	0	0	50	18.4	0
5	1.0810	0	0	0	0	0
6	1.0790	0	0	0	0	0
10	1.0710	0	0	0	0	0
11	1.0740	0	0	0	0	0
14	1.1020	0	0	0	0	0
15	1.1130	0	0	37.5	17.9	0
16	1.1170	0	0	0	0	0
19	1.1200	0	0	0	0	0
31	1.0000	22.2	0	9.2	4.6	-29.1
32	0.9830	97.5	-86.5	12.5	0	0
33	1.0470	0	0	10	0	0

节点编号	电压 (pu)	发电有功 /MW	发电无功 /Mvar	负荷有功 /MW	负荷无功 / Mvar	无功补偿 / Mvar
4	1.0500	0	0	147.9	54.4	0
5	1.0570	0	0	0	0	0
6	1.0580	0	0	0	0	0
10	1.0570	0	0	0	0	0
11	1.0580	0	0	0	0	0
14	1.0510	0	0	0	0	0
15	1.0470	0	0	126.6	60.60	0
16	1.0490	0	0	79.5	7.8	0
19	1.0520	0	0	0	0	0
31	1.0000	290.7	0	9.2	4.6	58.3
32	0.9830	97.5	-24.9	12.5	0	0
33	0.9830	0	0	10	0	0