Black-Start Scheme Evaluation Based on Improved ELECTRE Method and Comprehensive Weight

doi:10.11930/j.issn.1004-9649.201907094

Abstract

Abstract: The scientificity and rationality of a black-start scheme directly affects the rapidity and effectiveness of system recovery. Therefore, it is particularly important to select an optimal black-start scheme from multiple feasible restoration options through evaluation. An evaluation method is proposed based on combination of comprehensive weight method and improved ELECTRE method, and applied to evaluation of black-start schemes. Firstly, the comprehensive weight is obtained by combining the objective weight and expert weight according to a certain proportion, of which the objective weight is obtained by traditional entropy weight method, and the expert weight of evaluation indexes is obtained by ratio scale method. Then, the qualitative index of the black-start evaluation scheme is described using triangular fuzzy number and 1-9 scale method, and then it is combined with the ELECTRE method, which overcomes the drawback that ELECTRE method cannot adapt to the evaluation of qualitative indexes and is solely dependent on the expert weight. The proposed method in this paper realizes the reasonable combination of subjective weight and objective weight, and improves the ELECTRE method, which makes the evaluation of black-start scheme more convenient and the obtained results more reasonable. Finally, a case study has verified the validity and correctness of the method.

Key words: power system, black start, ELECTRE-method, triangular fuzzy number, comprehensive weight

XIANG Yinxing, LIN Jikeng. Black-Start Scheme Evaluation Based on Improved ELECTRE Method and Comprehensive Weight[J]. Electric Power, 2021, 54(3): 159-167.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201907094

https://www.electricpower.com.cn/EN/Y2021/V54/I3/159

References

[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, 16
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, 16
[2] 林伟芳, 孙华东, 汤涌, 等. 巴西“11·10”大停电事故分析及启示[J]. 电力系统自动化, 2010, 34(7): 1-5
LIN Weifang, SUN Huadong, TANG Yong, et al. Analysis and lessons of the blackout in Brazil power grid on November 10, 2009[J]. Automation of Electric Power Systems, 2010, 34(7): 1-5
[3] 陈明辉, 庞凯元, 尚慧玉, 等. 基于Vague值相似度的黑启动决策[J]. 电力建设, 2018, 39(11): 28-33
CHEN Minghui, PANG Kaiyuan, SHANG Huiyu, et al. Black-start decision-making based on similarity measures between Vague sets[J]. Electric Power Construction, 2018, 39(11): 28-33
[4] 高玮, 张炳达, 林济铿, 等. 基于Vague方法与PROMETHEE方法相结合的黑启动路径评估[J]. 中国电力, 2016, 49(7): 65-71
GAO Wei, ZHANG Bingda, LIN Jikeng, et al. Assessment of black start path based on Vague and PROMETHEE method[J]. Electric Power, 2016, 49(7): 65-71
[5] 王文慧, 刘天琪, 许韦华, 等. 基于博弈论和雷达图法的黑启动方案评估[J]. 电测与仪表, 2016, 53(8): 108-113
WANG Wenhui, LIU Tianqi, XU Weihua, et al. Evaluation for black-start schemes based on game theory and radar chart[J]. Electrical Measurement & Instrumentation, 2016, 53(8): 108-113
[6] 冷亚军, 陆青, 张俊岭. 基于差异性权重和协同过滤的黑启动方案评估[J]. 电力系统自动化, 2015, 39(20): 78-83
LENG Yajun, LU Qing, ZHANG Junling. Assessment of black-start schemes based on difference weight and collaborative filtering[J]. Automation of Electric Power Systems, 2015, 39(20): 78-83
[7] 冷亚军, 赵文会. 基于符号数据的黑启动方案评估[J]. 系统工程理论与实践, 2019, 39(7): 1744-1751
LENG Yajun, ZHAO Wenhui. Assessment on black-start schemes based on symbolic data[J]. Systems Engineering-Theory & Practice, 2019, 39(7): 1744-1751
[8] 李军徽, 孔明, 穆钢, 等. 电力系统黑启动关键技术研究综述[J]. 南方电网技术, 2017, 11(5): 68-77
LI Junhui, KONG Ming, MU Gang, et al. Overview of researches on key technologies of power system black-start[J]. Southern Power System Technology, 2017, 11(5): 68-77
[9] 林济铿, 蒋越梅, 岳顺民, 等. 基于DEA/AHP模型的电力系统黑启动有效方案评估[J]. 电力系统自动化, 2007, 31(15): 65-69, 110
LIN Jikeng, JIANG Yuemei, YUE Shunmin, et al. Assessment of effective schemes for power system blackstart based on DEA/AHP[J]. Automation of Electric Power Systems, 2007, 31(15): 65-69, 110
[10] 刘艳, 顾雪平, 张丹. 基于数据包络分析模型的电力系统黑启动方案相对有效性评估[J]. 中国电机工程学报, 2006, 26(5): 32-37, 94
LIU Yan, GU Xueping, ZHANG Dan. Data envelopment analysis based relative effectiveness assessment of power system black-start plans[J]. Proceedings of the CSEE, 2006, 26(5): 32-37, 94
[11] 钟慧荣, 顾雪平. 基于模糊层次分析法的黑启动方案评估及灵敏度分析[J]. 电力系统自动化, 2010, 34(16): 34-37, 49
ZHONG Huirong, GU Xueping. Assessment of power system black-start schemes based on fuzzy analytic hierarchy process and its sensitivity analysis[J]. Automation of Electric Power Systems, 2010, 34(16): 34-37, 49
[12] 李利娟, 吴军, 刘红良, 等. 计及新能源影响静动态结合的电网脆弱节点辨识[J]. 电力系统保护与控制, 2019, 47(2): 64-72
LI Lijuan, WU Jun, LIU Hongliang, et al. Static and dynamic integration method on identifying vulnerability nodes considering new energy power[J]. Power System Protection and Control, 2019, 47(2): 64-72
[13] 刘涛, 史成广, 林济铿. 基于改进DEA/AHP模型电力系统黑启动方案评估[J]. 电气应用, 2015, 34(22): 103-109
[14] 倪静. 基于TOPSIS法的黑启动决策方法[J]. 广东电力, 2009, 22(12): 8-11, 15
NI Jing. Black-start decision-making method based on TOPSIS[J]. Guangdong Electric Power, 2009, 22(12): 8-11, 15
[15] 姚历毅, 罗萍萍, 项胤兴, 等. 具有抗逆序及权重自适应的黑启动方案评估方法[J]. 中国电力, 2019, 52(3): 87-94
YAO Liyi, LUO Pingping, XIANG Yinxing, et al. Evaluation method of black start scheme with anti-reverse order and weight adaptive[J]. Electric Power, 2019, 52(3): 87-94
[16] 秦寿康. 综合评价原理与应用[M]. 北京: 电子工业出版社, 2003: 94-129.
[17] 李士勇. 工程模糊数学及应用[M]. 哈尔滨: 哈尔滨工业大学出版社, 2004: 1-25, 96-108.
[18] 林济铿, 蒋越梅, 郑卫洪, 等. 电力系统黑启动初始方案的自动形成[J]. 电力系统自动化, 2008, 32(2): 72-75
LIN Jikeng, JIANG Yuemei, ZHENG Weihong, et al. Automatic establishment of the initial black start schemes for power systems[J]. Automation of Electric Power Systems, 2008, 32(2): 72-75
[19] 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
[20] 向思阳, 蔡泽祥, 刘平, 等. 基于AHP-反熵权法的配电网低碳运行模糊综合评价[J]. 电力科学与技术学报, 2009, 34(4): 69-76
XIANG Siyang, CAI Zexiang, LIU Ping, et al. Fuzzy comprehensive evaluation of the low-carbon operation of distribution network based on AHP-Anti-Entropy Method[J]. Journal of Electric Power Science and Technology, 2009, 34(4): 69-76
[21] 张吉军. 模糊层次分析法(FAHP)[J]. 模糊系统与数学, 2000, 14(2): 80-88
ZHANG Jijun. Fuzzy analytical hierarchy process[J]. Fuzzy Systems and Mathematics, 2000, 14(2): 80-88
[22] 林济铿, 李童飞, 赵子明, 等. 基于熵权模糊综合评价模型的电力系统黑启动方案评估[J]. 电网技术, 2012, 36(2): 115-120
LIN Jikeng, LI Tongfei, ZHAO Ziming, et al. Assessment on power system black-start schemes based on entropy-weighted fuzzy comprehensive evaluation model[J]. Power System Technology, 2012, 36(2): 115-120
[23] 杨威, 史加荣, 庞永锋. 模糊环境下基于TOPSIS的部分权重信息多属性群决策方法[J]. 模糊系统与数学, 2014, 28(2): 144-151
YANG Wei, SHI Jiarong, PANG Yongfeng. Fuzzy multi-attribute group decision making method based on TOPSIS with partial weight information[J]. Fuzzy Systems and Mathematics, 2014, 28(2): 144-151
[24] 赵子明, 幺莉, 林济铿, 等. 黑启动辅助决策支持系统[J]. 中国电力, 2012, 45(5): 81-86
ZHAO Ziming, YAO Li, LIN Jikeng, et al. Black-start decision support system[J]. Electric Power, 2012, 45(5): 81-86
[25] 胡丽芳, 关欣, 邓勇, 等. 一种三角模糊数型多属性决策方法[J]. 控制与决策, 2011, 26(12): 1877-1880, 1885
HU Lifang, GUAN Xin, DENG Yong, et al. Approach for fuzzy multi-attribute decision making[J]. Control and Decision, 2011, 26(12): 1877-1880, 1885