A Multi-criteria Fusion Decision-Making Method for Power Grid Planning Investment Based on Improved ELECTRE Method

doi:10.11930/j.issn.1004-9649.202201086

Abstract

Abstract: The investment decision-making of power grid planning not only needs considering the project benefits, but also needs considering the regional investment environment and enterprise management levels. In order to realize the effective unification of subjective experience and objective data, qualitative and quantitative indicators, project and environment, a multi-criteria fusion decision-making method for power grid planning investment based on improved ELECTRE method is proposed. Firstly, the concept of multi-criteria fusion decision-making of benefit, efficiency and effectiveness is proposed. Secondly, a power grid planning investment decision-making index system is established. Then, the filing assignment method and preference strategy are used to improve the ELECTRE method, and a power grid planning investment decision-making model is proposed based on the improved ELECTRE method, and the decision-making process for power grid planning investment is proposed. Finally, the feasibility of the proposed method is verified through case analysis. The research results show that the proposed method improves the benefit, efficiency and effectiveness of investment, which can provide a reference for relevant departments to make decisions for power grid planning investment.

Key words: power grid planning, investment decision-making, multi-criteria fusion, index system

CHENG Zhiyu, ZHU Xiaohu, LI Jianqing. A Multi-criteria Fusion Decision-Making Method for Power Grid Planning Investment Based on Improved ELECTRE Method[J]. Electric Power, 2022, 55(11): 59-65.

Add to citation manager EndNote|Ris|BibTeX

URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202201086

https://www.electricpower.com.cn/EN/Y2022/V55/I11/59

References

[1] 中共中央, 国务院. 关于进一步深化电力体制改革的若干意见(中发〔2015〕9号)[Z].
[2] 张全, 代贤忠, 韩新阳, 等. 基于全生命周期投入产出效益的电网规划精准投资方法[J]. 中国电力, 2018, 51(10): 171–177
ZHANG Quan, DAI Xianzhong, HAN Xinyang, et al. An accurate investment method of power grid based on full life cycle input-output benefit[J]. Electric Power, 2018, 51(10): 171–177
[3] 张志强, 黄欣, 季玉华. 基于神经网络的电网投资决策评估模型构建[J]. 企业经济, 2020, 39(9): 136–142
[4] 何小平, 崔巍, 樊晓伟, 等. 电网大中型基建项目投资评估研究[J]. 能源与环保, 2017, 39(11): 76–81
HE Xiaoping, CUI Wei, FAN Xiaowei, et al. Research on investment evaluation of large and medium sized infrastructure in power grid[J]. China Energy and Environmental Protection, 2017, 39(11): 76–81
[5] 彭道鑫, 董士波, 王玲. 基于高质量发展的电网投资效率效益评估体系研究[J]. 建筑经济, 2019, 40(12): 107–114
PENG Daoxin, DONG Shibo, WANG Ling. Research on efficiency and benefit evaluation system of power grid investment based on high quality development[J]. Construction Economy, 2019, 40(12): 107–114
[6] 张鹏飞, 柳璐, 杨卫红, 等. 基于资产负债率的多地区电网投资能力测算方法[J]. 电力系统及其自动化学报, 2018, 30(6): 85–89
ZHANG Pengfei, LIU Lu, YANG Weihong, et al. Assessment method for investment capacity of multi-area electric power systems based on debt-to-asset ratio[J]. Proceedings of the CSU-EPSA, 2018, 30(6): 85–89
[7] 方宇娟, 王秀丽, 师婧, 等. 计及新能源接入的省级电网效率效益评估[J]. 电网技术, 2017, 41(7): 2138–2145
FANG Yujuan, WANG Xiuli, SHI Jing, et al. Research on operation and economic efficiency evaluation of provincial power grid with integrated renewable energy[J]. Power System Technology, 2017, 41(7): 2138–2145
[8] 程曦, 吴霜, 王静怡, 等. 输配电价改革背景下电网项目多阶段投资优化决策研究[J]. 电力系统保护与控制, 2021, 49(15): 116–123
CHENG Xi, WU Shuang, WANG Jingyi, et al. Research on multi-stage investment optimization of power grid projects under transmission and distribution price reform[J]. Power System Protection and Control, 2021, 49(15): 116–123
[9] 刘巍, 李锰, 李秋燕, 等. 基于改进遗传算法的电网投资组合预测方法[J]. 电力系统保护与控制, 2020, 48(8): 78–85
LIU Wei, LI Meng, LI Qiuyan, et al. Power grid portfolio forecasting method based on an improved genetic algorithm[J]. Power System Protection and Control, 2020, 48(8): 78–85
[10] 金强, 杨卫红, 王涛, 等. 考虑混合储能调频需求的独立微电网投资优化[J]. 电力科学与技术学报, 2021, 36(1): 52–62
JIN Qiang, YANG Weihong, WANG Tao, et al. Research on investment optimization of standalone microgrid considering frequency modulation with hybrid energy storage[J]. Journal of Electric Power Science and Technology, 2021, 36(1): 52–62
[11] 谭忠富, 谭彩霞, 余雪, 等. 基于混合布谷鸟算法的智能电网多业务组合投资决策优化[J]. 智慧电力, 2021, 49(4): 51–57,88
TAN Zhongfu, TAN Caixia, YU Xue, et al. Multi-business portfolio investment decision optimization of smart grid based on hybrid cuckoo algorithm[J]. Smart Power, 2021, 49(4): 51–57,88
[12] 王梓珺, 王承民, 闫涛, 等. 基于序列线性关联度分析的配电网可靠性投资估算方法研究[J]. 全球能源互联网, 2022, 5(1): 55–61
WANG Zijun, WANG Chengmin, YAN Tao, et al. Research on distribution network reliability investment estimation method based on sequence linearization correlation analysis[J]. Journal of Global Energy Interconnection, 2022, 5(1): 55–61
[13] 蔡张花, 单立, 刘福炎, 等. 基于负债率限制的电网企业投资能力研究[J]. 价值工程, 2015, 34(9): 213–214
CAI Zhanghua, SHAN Li, LIU Fuyan, et al. Investment capacity research for power grid enterprises based on debt ratio limit[J]. Value Engineering, 2015, 34(9): 213–214
[14] 沈润. 基于层次分析法的电网生产项目优选排序模型研究[J]. 通信电源技术, 2019, 36(12): 24–25
SHEN Run. Study on optimization ranking model for power grid production projects based on analytic hierarchy process[J]. Telecom Power Technology, 2019, 36(12): 24–25
[15] 王昭聪, 潘学萍, 马倩. 基于“奖优罚劣”线性变换改进前景理论的电网建设项目多属性投资排序方法[J]. 电网技术, 2019, 43(6): 2154–2164
WANG Zhaocong, PAN Xueping, MA Qian. Multi-attribute investment ranking method for power grid project construction based on improved prospect theory of “rewarding good and punishing bad” linear transformation[J]. Power System Technology, 2019, 43(6): 2154–2164
[16] 黄晨洋, 严正, 杨火明, 等. 输配电价改革对省级电网投资的影响及动态评估方法[J]. 电网技术, 2018, 42(10): 3291–3298
HUANG Chenyang, YAN Zheng, YANG Huoming, et al. Impacts of TDP reform on investment of provincial power grid and its dynamic evaluation method[J]. Power System Technology, 2018, 42(10): 3291–3298
[17] 汪志才, 蔡晔, 谭玉东, 等. 考虑功能差异的输变电项目效益评价及投资优化方法[J]. 中国电力, 2019, 52(11): 175–184
WANG Zhicai, CAI Ye, TAN Yudong, et al. A method for benefit evaluation and investment optimization considering functional differences in transmission and transformation projects[J]. Electric Power, 2019, 52(11): 175–184
[18] 汪荣华, 杜英, 苟全峰, 等. 考虑输配电价改革的省级电网规划投资效率效益评估[J]. 电力建设, 2020, 41(11): 135–144
WANG Ronghua, DU Ying, GOU Quanfeng, et al. Evaluation of planning investment efficiency and benefit of provincial power grid considering the reform transmission and distribution prices[J]. Electric Power Construction, 2020, 41(11): 135–144
[19] 肖潇. 配电网精准投资评价体系的构建与运用[J]. 价值工程, 2019, 38(11): 59–61
XIAO Xiao. Construction and application of accurate investment evaluation system for distribution network[J]. Value Engineering, 2019, 38(11): 59–61
[20] 黄锐, 王洪森. 复杂因素驱动下电网项目投资收益及其风险研究[J]. 科技创新导报, 2020, 17(15): 171–172
[21] 程亮, 胡卫利, 胡蔚, 等. 电网基建项目投资决策方法研究[J]. 电网与清洁能源, 2014, 30(12): 84–90
CHENG Liang, HU Weili, HU Wei, et al. Decision making on the construction investment of a power grid project[J]. Power System and Clean Energy, 2014, 30(12): 84–90
[22] 刘映晗. 电网项目经济效益评价机制在投资决策中的应用[J]. 中国管理信息化, 2020, 23(17): 28–29
[23] 熊振东, 梁锦照, 陈旭. 电网建设项目投资效益评估方法研究[J]. 供用电, 2009, 26(5): 42–44,49
XIONG Zhendong, LIANG Jinzhao, CHEN Xu. Research on the method of investment benefit assessment of power network construction project[J]. Distribution & Utilization, 2009, 26(5): 42–44,49
[24] 章德娥. 电网规划与投资计划管理综合方法初探[J]. 中国管理信息化, 2018, 21(2): 90–91
[25] 刘旭娜, 魏俊, 张文涛, 等. 基于信息熵和模糊分析法的配电网投资效益评估及决策[J]. 电力系统保护与控制, 2019, 47(12): 48–56
LIU Xuna, WEI Jun, ZHANG Wentao, et al. Investment benefits evaluation and decision for distribution network based on information entropy and fuzzy analysis method[J]. Power System Protection and Control, 2019, 47(12): 48–56
[26] 何凯, 王剑晓, 王佳伟, 等. 基于全成本电价的电网规划方案评估与优选[J]. 中国电力, 2020, 53(3): 66–75
HE Kai, WANG Jianxiao, WANG Jiawei, et al. Evaluation and optimization of power network planning scheme based on total-cost price[J]. Electric Power, 2020, 53(3): 66–75
[27] 李娜, 李朝阳, 周进, 等. 考虑投资均衡和效益性的中压配电网投资分配[J]. 中国电力, 2021, 54(12): 143–149
LI Na, LI Chaoyang, ZHOU Jin, et al. Investment allocation for medium-voltage distribution networks considering investment equilibrium and benefits[J]. Electric Power, 2021, 54(12): 143–149