A Comprehensive Weighting and TOPSIS Method Based Assessment on the Impact of Grid-Connected PV Generation

doi:10.11930/j.issn.1004-9649.2016.04.154.06

Abstract

Abstract: The current evaluation index for assessing the impact of grid-connected PV generation is neither adequate nor sufficiently meaningful. This paper proposes a more comprehensive two-stage evaluation index system. The weights of primary and secondary indexes are estimated based on the subjective weight method and the entropy method respectively. The comprehensive weight for the secondary index is then obtained. The comprehensive assessment of the impact of grid-connected PV generation based on comprehensive weights and TOPSIS(technique for order preference by similarity to ideal solution, TOPSIS) method can not only reflect the superiority of subjective weighting, but also make full use of data information to make the evaluation results more realistic. The case examples show that such approach is a reasonable and effective evaluation method.

Key words: grid-connected PV generation, evaluation index, entropy weight method, comprehensive weight, TOPSIS method

CLC Number:

TM615

CHEN Li, HU Po, YANG Deshuai, LIU Dian, WANG Jing, JIANG Xiaoliang. A Comprehensive Weighting and TOPSIS Method Based Assessment on the Impact of Grid-Connected PV Generation[J]. Electric Power, 2016, 49(4): 154-159.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2016.04.154.06

https://www.electricpower.com.cn/EN/Y2016/V49/I4/154

References

[1] 丁明,王伟胜,王秀丽,等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报,2014,34(1)：1－14.
DING Ming, WANG Weisheng, WANG Xiuli, et al. A review on the effect of large-scale PV generation on power systems[J].Proceedings of the CSEE, 2014, 34(1): 1-14.
[2] 周念成,周颖,池源,等. 新能源并网对配电网影响的正负效应综合评估[J]. 中国电力,2012,45(7)：62－67.
ZHOU Niancheng, ZHOU Ying, CHI Yuan, et al. Comprehensive evaluation of influence of renewable energy generation integration on distribution networks based on positive and negative effect indexes [J]. Electric Power, 2012, 45(7): 62-67.
[3] BIALASIEWICZ J T. Renewable energy systems with photovoltaic power generators: operation and modeling[J]. IEEE Transactions on Industrial Electronics, 2008, 55(7): 2752-2758.
[4] 李彦斌,于心怡,王致杰. 采用灰色关联度与TOPSIS法的光伏发电项目风险评价研究[J]. 电网技术,2013,37(6)：1514－1519.
LI Yanbin, YU Xinyi, WANG Zhijie. Risk assessment on photovoltaic power generation project by grey correlation analysis and TOPSIS method[J]. Power System Technology, 2013, 37(6):1514-1519.
[5] 韩亮,王守相,赵歌. 基于区间TOPSIS与遗传算法混合的分布式电源优化配置[J]. 电力系统自动化,2013,37(24)：37－42.
HAN Liang, WANG Shouxiang, ZHAO Ge. Optimal planning of distributed generators based on combination of interval TOPSIS method and genetic algorithm[J]. Automation of Electric Power Systems, 2013, 37(24): 37-42.
[6] 张文朝,顾雪平. 应用变异系数法和逼近理想解排序法的风电场综合评价[J]. 电网技术,2014,38(10)：2741－2746.
ZHANG Wenchao, GU Xueping. Comprehensive evaluation of wind farms using variation coefficient method and technique for order preference by similarity to ideal solution[J]. Power System Technology, 2014, 38(10): 2741-2746.
[7] 谢宁,罗安,马伏军,等. 大型光伏电站与电网谐波交互影响[J]. 中国电机工程学报,2013,33(34)：9－16.
XIE Ning, LUO An, MA Fujun, et al. Harmonic interaction between large-scale photovoltaic power stations and grids[J].Proceedings of the CSEE, 2013, 33(34): 9-16.
[8] 肖淳,邵东国,杨丰顺. 基于改进TOPSIS法的流域初始水权分配模型[J]. 武汉大学学报：工学版,2012,45(3)：329－334.
XIAO Chun, SHAO Dongguo, YANG Fengshun. A model of initial water rights allocation in watershed based on improved TOPSIS method[J]. Engineering Journal of Wuhan University,2012, 45(3): 329-334.
[9] 李磊,金菊良,朱永楠. TOPSIS方法应用中若干问题的探讨[J].水电能源科学,2012,30(3)：51－54.
LI Lei, JIN Juliang, ZHU Yongnan. Discussion on some problems of application of TOPSIS method [J]. Water Resources and Power,2012, 30(3): 51-54.
[10] JAHANSHAHLOO G R, HOSSEINZADEH L, IZADIKHA M. An algorithmic method to extend TOPSIS for decision-making problems with interval data[J]. Applied Mathematics and Computation, 2006, 175(2): 1375-1384.
[11] 吕盼,乔怡,葛丽婷. 基于熵权TOPSIS法的输电网规划综合决策[J]. 华北电力大学学报,2010,37(4)：24－28.
Lv Pan, QIAO Yi, GE Liting. Comprehensive decision-making of transmission network planning based on entropy TOPSIS[J].Journal of North China Electric Power University, 2010, 37(4): 24-28.

[1]	Junfeng QIAO, Aihua ZHOU, Lin PENG, Yiqing WANG, Xiaofeng SHEN, Sen PAN, Pei YANG, Chenhong HUANG. An Evaluation Method for Distribution Network Operation Based on Multi-source Data Deep Fusion [J]. Electric Power, 2024, 57(6): 193-203.
[2]	JIA Kaihua, YU Yunxia, FAN Xiubo, LI Maoxuan, WANG Dong, TANG Cuicui, JI Zhang. Multi-criteria Comprehensive Evaluation of Multi-energy Complementary System Based on AHP-EWM and TOPSIS Method [J]. Electric Power, 2023, 56(7): 228-238.
[3]	JIA Wei, LEI Caijia, FANG Binghua, LIU Yong. A Comprehensive Evaluation and Prediction Method for Load Density Based on Big Data under Power Supply Partition Scenarios [J]. Electric Power, 2023, 56(6): 71-81.
[4]	ZHAO Yuanshang, LIN Weifang. Research on Typical Scenarios Based on Fusion Density Peak Value and Entropy Weight Method of Pearson’s Correlation Coefficient [J]. Electric Power, 2023, 56(5): 193-202.
[5]	LIANG Haiping, SHI Haoyan, WANG Yan, LIU Yingpei, WANG Xinming. Resilience-Improving Based Optimization of Post-Disaster Emergency Maintenance Strategy for Transmission Networks [J]. Electric Power, 2022, 55(3): 142-151.
[6]	ZHAO Hongshan, LI Jingxuan. Energy Efficiency Evaluation Model of Park Customers Based on PSR and Improved Grey TOPSIS [J]. Electric Power, 2022, 55(3): 203-212.
[7]	FANG Tong, JIANG Dongfang, YANG Yang, YUAN Tiejiang. Research on Business Operation Mode of Hydrogen Integrated Energy System Based on NSGA-II and Entropy Weight Method [J]. Electric Power, 2022, 55(1): 110-118.
[8]	XIONG Xiaoping, HAO Shaolei, SUN Di, LIN Guangyang, LI Hang. Site Selection Optimization Strategy for Independent Secondary Device Integrated Center Based on Improved Artificial Bee Colony Algorithm [J]. Electric Power, 2021, 54(9): 1-8.
[9]	XIE Jingdong, LU Chixin, LU Siwei, SUN Bo, HUANG Xiying, SUN Xin. Electricity Market Risk Evaluation Based on Order Relation-Entropy Weight Method [J]. Electric Power, 2021, 54(6): 71-78.
[10]	WANG Sihua, CHEN Long, WANG Junjun, ZHAO Lei. Fuzzy Comprehensive Evaluation of Aging State of Silicone Rubber Sheds of Composite Insulators [J]. Electric Power, 2021, 54(5): 156-165.
[11]	XU Zunyi, LIU Wenhui, ZHANG Xuran, ZHANG Haiyan. Research on Data-Driven Optimal Operation of Slurry Circulation Pump [J]. Electric Power, 2021, 54(3): 197-204.
[12]	XIANG Yinxing, LIN Jikeng. Black-Start Scheme Evaluation Based on Improved ELECTRE Method and Comprehensive Weight [J]. Electric Power, 2021, 54(3): 159-167.
[13]	ZHANG Ning, XUE Meimei, WU Xiaoyu, DAI Hongcai, ZHANG Yunzhou, LIU Lin, ZHANG Dong. Comparison and Enlightenment of Energy Transition Between Domestic and International [J]. Electric Power, 2021, 54(2): 113-119,155.
[14]	QU Xiaoyun, WU Ming, LI Qi, DING Baodi, ZHAO Fengzhan, KOU Lingfeng. Review on Comprehensive Evaluation of Multi-energy Complementary Integrated Energy Systems [J]. Electric Power, 2021, 54(11): 153-163.
[15]	WU Hao, ZHU Ziwei. Key Lines Identification in Power Grid Based on Comprehensive Index Calculated by the Entropy Weight-Analytical Hierarchy Process [J]. Electric Power, 2020, 53(5): 39-47,55.