基于多属性决策理论的抽蓄电站容量规划综合决策方法研究

张成; 夏沛; 张晓星

doi:10.19912/j.0254-0096.tynxb.2023-0722

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太阳能学报 ›› 2024, Vol. 45 ›› Issue (9) : 639-646. DOI: 10.19912/j.0254-0096.tynxb.2023-0722

基于多属性决策理论的抽蓄电站容量规划综合决策方法研究

张成, 夏沛, 张晓星

作者信息 +

RESEARCH ON COMPREHENSIVE DECISION-MAKING METHOD FOR CAPACITY PLANNING OF PUMPED STORAGE POWER STATIONS BASED ON MULTI-ATTRIBUTE DECISION-MAKING THEORY

Zhang Cheng, Xia Pei, Zhang Xiaoxing

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文章历史 +

摘要

针对风电-火电-抽蓄联合运行系统中抽蓄电站的容量规划问题,提出一种基于德尔菲法、区间直觉模糊理论、灰色关联理论和前景理论的综合决策方法。该方法考虑定性指标的不确定性、指标间的相互影响关系和决策者的风险偏好。经算例验证,所提方法能够决策出适应不同风险环境的最优容量规划方案,可为抽蓄电站容量规划问题提供参考。

Abstract

Pumped storage technology plays an important role in maintaining the power balance of power systems and improving the operational stability of energy systems. Scientific capacity planning of pumped storage power station can help achieve economic operation of the power system, promote renewable energy development and save energy resources. In this paper, a comprehensive decision-making method based on Delphi method, interval-valued intuitionistic fuzzy theory, gray correlation theory and prospect theory is proposed for the capacity planning of pumped storage power station in hybrid wind-thermal-pumped storage power system. The proposed method considers the uncertainty of qualitative indexes, the inter-influence relationship among indexes and the risk preference of decision makers. Test results show that the proposed method can decide the optimal capacity planning scheme adapted to different risk environments, and can provide a reference for the capacity planning problem of pumped storage power stations.

导出引用

张成, 夏沛, 张晓星. 基于多属性决策理论的抽蓄电站容量规划综合决策方法研究[J]. 太阳能学报. 2024, 45(9): 639-646 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0722

Zhang Cheng, Xia Pei, Zhang Xiaoxing. RESEARCH ON COMPREHENSIVE DECISION-MAKING METHOD FOR CAPACITY PLANNING OF PUMPED STORAGE POWER STATIONS BASED ON MULTI-ATTRIBUTE DECISION-MAKING THEORY[J]. Acta Energiae Solaris Sinica. 2024, 45(9): 639-646 https://doi.org/10.19912/j.0254-0096.tynxb.2023-0722

中图分类号： TM715

参考文献

[1] 卢奇秀. 抽水蓄能发展开启加速模式[N]. 中国能源报, 2022-04-18(2).
LU X Q, Pumped storage development in accelerated mode[N]. China energy new, 2022-04-18(2).
[2] 张怀雨.坚持规划引领推动抽水蓄能高质量发展[N]. 国家电网报,2021-10-12(002).
ZHANG H Y.Insist on planning to lead and promote high-quality development of pumped storage energy[N]. State grid news,2021-10-12(002).
[3] 李圣清, 邓娜, 颜石, 等. 基于改进蚁群动态规划的光储微网容量优化配置[J]. 太阳能学报, 2023, 44(2): 468-476.
LI S Q, DENG N, YAN S, et al.Optimal configuration optimization of PV energy storage microgrid using improved ant colony dynamic programming[J]. Acta energiae solaris sinica, 2023, 44(2): 468-476.
[4] 冉亮, 费斯奇, 袁铁江, 等. 考虑碳自然循环的离网型风/光-火联合供能系统容量优化配置[J]. 太阳能学报, 2023, 44(1): 509-515.
RAN L, FEI S Q, YUAN T J, et al.Optimal capacity allocation of off-grid wind/PV-thermal energy supply system considering the carbon cycle[J]. Acta energiae solaris sinica, 2023, 44(1): 509-515.
[5] XIAO B, XING S H, WANG T, et al.Capacity planning of pumped storage power station based on the life cycle cost[J]. Electric power components and systems, 2020, 48(12/13): 1263-1271.
[6] 王廷涛, 苗世洪, 张松岩, 等. 基于状态评估的多类型储能系统检修优化策略[J]. 电力自动化设备, 2021, 41(10): 234-243.
WANG T T, MIAO S H, ZHANG S Y, et al.Maintenance optimization strategy of multi-type energy storage systems based on state evaluation[J]. Electric power automation equipment, 2021, 41(10): 234-243.
[7] 康智韬. 园区综合能源系统综合评价与优化策略研究[D]. 扬州: 扬州大学, 2022.
KANG Z T.Research on the comprehensive evaluation and optimization strategy of the comprehensive energy system in the park[D]. Yangzhou: Yangzhou University, 2022.
[8] 周依希, 李晓明, 瞿合祚. 基于反熵-AHP二次规划组合赋权法的电网节点综合脆弱性评估[J]. 电力自动化设备, 2019, 39(7): 133-140.
ZHOU Y X, LI X M, QU H Z.Node comprehensive vulnerability assessment of power grid based on anti-entropy-AHP quadratic programming combination weighting method[J]. Electric power automation equipment, 2019, 39(7): 133-140.
[9] 马速良, 武亦文, 李建林, 等. 提升电网可靠性的储能系统最优经济性规划方法[J]. 太阳能学报, 2024, 45(2): 251-262.
MA S L, WU Y W, LI J L, et al.Optimal economic planning method of energy storage system to improve grid reliability[J]. Acta energiae solaris sinica, 2024, 45(2): 251-262.
[10] 范辉, 何省宜, 傅志映. 高比例新能源电力系统中储能技术的优势与其面临的挑战[J]. 电气时代, 2023(4): 68-72.
FAN H, HE S Y, FU Z Y.Advantages and challenges of energy storage technology in high proportion new energy power system[J]. Electric age, 2023(4): 68-72.
[11] 林俐, 姚丛霄, 孙勇, 等. 国内外抽蓄电站经营模式分析及启发[J]. 电网与清洁能源, 2021, 37(7): 107-114.
LIN L, YAO C X, SUN Y, et al.Analysis and enlightenment of operation modes of pumped storage power stations at home and abroad[J]. Power system and clean energy, 2021, 37(7): 107-114.
[12] 王磊, 田旭, 傅旭, 等. 风光抽蓄互补系统合理容量效益研究[J]. 电网与清洁能源, 2023, 39(4): 111-117.
WANG L, TIAN X, FU X, et al.A study on the reasonable capacity benefit of the wind power-photovoltaic pumped hydro storage complementary system[J]. Power system and clean energy, 2023, 39(4): 111-117.
[13] 肖白, 杨宇, 姜卓, 等. 风电-抽水蓄能联合系统中抽蓄电站容量的优化规划[J]. 太阳能学报, 2020, 41(12): 270-277.
XIAO B, YANG Y, JIANG Z, et al.Optimal planning of capacity of pumped storage power station in wind power-pumped storage system[J]. Acta energiae solaris sinica, 2020, 41(12): 270-277.
[14] 张媛媛. DR用电信息采集系统改造项目的风险管理研究[D]. 武汉: 华中科技大学, 2020.
ZHANG Y Y.Research on the risk management in DR's power consumption information acquisition system upgrade[D]. Wuhan: Huazhong University of Science and Technology, 2020.
[15] 王靖. 基于累积前景理论的区间直觉模糊多属性综合决策问题研究[D]. 成都: 四川师范大学, 2022.
WANG J.Research on interval-value intuitionistic fuzzy multiple attribute group decision making based on cumulative prospect theory[D]. Chengdu: Sichuan Normal University, 2022.
[16] 赖阳雨. 基于熵值法和灰色关联分析法的九江乡镇配电网建设成效分析[D]. 南昌: 南昌大学, 2022.
LAI Y Y.Based on entropy method and grey relational analysis method, the effectiveness analysis of Jiujiang township distribution network[D]. Nanchang: Nanchang University, 2022.
[17] 李圆圆. 重大工程项目伦理风险评价及防范体系研究[D]. 重庆: 重庆大学, 2020.
LI Y Y.Research on ethical risk evaluation and prevention system of MEGA project[D]. Chongqing: Chongqing University, 2020.
[18] TIAN X L, MA J S, LI L, et al.Development of prospect theory in decision making with different types of fuzzy sets: a state-of-the-art literature review[J]. Information sciences, 2022, 615: 504-528.
[19] 董福贵, 张也, 尚美美. 分布式能源系统多指标综合评价研究[J]. 中国电机工程学报, 2016, 36(12): 3214-3223.
DONG F G, ZHANG Y, SHANG M M.Multi-criteria comprehensive evaluation of distributed energy system[J]. Proceedings of the CSEE, 2016, 36(12): 3214-3223.
[20] 王林军, 罗彬, 史宝周, 等. 碟式太阳能聚光器风载荷系数影响因素研究: 基于模糊灰色关联分析法[J]. 太阳能学报, 2021, 42(5): 328-334.
WANG L J, LUO B, SHI B Z, et al.Influence factors of wind load coefficient of dish solar concentrator: based on fuzzy gray correlation analysis[J]. Acta energiae solaris sinica, 2021, 42(5): 328-334.
[21] 张华一, 文福拴, 张璨, 等. 基于前景理论的电网建设项目组合多属性决策方法[J]. 电力系统自动化, 2016, 40(14): 8-14.
ZHANG H Y, WEN F S, ZHANG C, et al.Prospect theory based multiple-attribute decision-making method for determining portfolio of construction projects in power systems[J]. Automation of electric power systems, 2016, 40(14): 8-14.
[22] 刘文霞, 张舒婷, 高雪倩, 等. 考虑综合效用和主观认知的配电网模块化储能优化配置[J]. 电网技术, 2022, 46(6): 2074-2083.
LIU W X, ZHANG S T, GAO X Q, et al.Optimal allocation of modular energy storage in distribution network considering comprehensive utility and subjective cognition[J]. Power system technology, 2022, 46(6): 2074-2083.
[23] TAGHAVI R, SAMET H, SEIFI A R, et al.Stochastic optimal power flow in hybrid power system using reduced-discrete point estimation method and Latin hypercube sampling[J]. IEEE Canadian journal of electrical and computer engineering, 2022, 45(1): 63-67.
[24] ZHOU Q, XU X C, XIAO W H, et al.Robust day-ahead scheduling of source-network-load-storage flexible resources for wind power accommodation[C]//2021 3rd International Conference on Electrical Engineering and Control Technologies (CEECT). Macao, China, 2021: 157-163.
[25] DUPAČOVÁ J, GRÖWE-KUSKA N, RÖMISCH W. Scenario reduction in stochastic programming[J]. Mathematical programming, 2003, 95(3): 493-511.
[26] 李响, 牛赛. 双碳目标下源-网-荷多层评价体系研究[J]. 中国电机工程学报, 2021, 41(S1): 178-184.
LI X, NIU S.Study on multi-layer evaluation system of source-grid-load under carbon-neutral goal[J]. Proceedings of the CSEE, 2021, 41(S1): 178-184.