包含风电的电力系统电价机制优化设计:基于成本收益的分析

赵晓丽, 孙楚钰

系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (6) : 1465-1475.

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PDF(2249 KB)
系统工程理论与实践 ›› 2021, Vol. 41 ›› Issue (6) : 1465-1475. DOI: 10.12011/SETP2019-1908
论文

包含风电的电力系统电价机制优化设计:基于成本收益的分析

    赵晓丽1,2, 孙楚钰1,2
作者信息 +

Electricity pricing mechanism for power system with wind power: Cost-benefit based analysis

    ZHAO Xiaoli1,2, SUN Chuyu1,2
Author information +
文章历史 +

摘要

在考虑成本收益基础上构建有利于可再生能源发展的电价机制,对促进中国能源结构转型升级内在动力的提升具有重要意义.本文建立了整体电力市场机制模型,包含中长期交易市场的电量出清模型、日前市场的增量现货市场模型和实时市场的平衡调度模型,并在实时平衡调度模型中设置目标函数为系统成本最小、弃风量最小双目标函数.在IEEE 6节点标准测试系统里,计算了不同电价机制下的电力市场交易结果,研究发现,与系统边际电价相比,边际节点电价出清的电价机制下风电企业利润更高,弃风率更低.因此,该机制更有利于风电发展;同时,当系统收益一定时,边际节点电价机制能使电力系统总成本最小.

Abstract

It is important to study the suitable pricing mechanism based on benefit-cost analysis, which is a guarantee to realize the goal of China's energy system upgrade. Two kinds of models are studied:The medium-and-long term trading market clearing model, the day-ahead incremental spot market model. A bi-objective function is established in the real-time equilibrium dispatch model:One objective is to realize the least system cost, and the other is to realize the least amount of discarded wind power. An electricity market trading simulation in the IEEE 6-bus standard test system is conducted. We find that, the locational marginal price (LMP) mechanism is beneficial to the development of renewable energy and power industry. The results also indicate that, the node marginal price mechanism can minimize the total cost of the power system when system benefit is identified.

关键词

可再生能源 / 电力系统 / 电价机制 / 成本收益分析

Key words

renewable energy / power system / power price mechanism / benefit-cost analysis

引用本文

导出引用
赵晓丽 , 孙楚钰. 包含风电的电力系统电价机制优化设计:基于成本收益的分析. 系统工程理论与实践, 2021, 41(6): 1465-1475 https://doi.org/10.12011/SETP2019-1908
ZHAO Xiaoli , SUN Chuyu. Electricity pricing mechanism for power system with wind power: Cost-benefit based analysis. Systems Engineering - Theory & Practice, 2021, 41(6): 1465-1475 https://doi.org/10.12011/SETP2019-1908
中图分类号: F420   

参考文献

[1] Chéverez-González D, Lin J. Mutually orthogonal LMP decomposition:Analysis of PJM network by null space approach[C]//Providence, RI, USA:IEEE PES General Meeting, 2010, 7:25-29.
[2] Morales J M, Conejo A J, Perez-Ruiz J. Simulating the impact of wind production on locational marginal prices[J]. IEEE Transactions on Power Systems, 2011, 26(2):820-828.
[3] Eric G, Alessandro S. High wind penetration in an agent-based model of the electricity market[J]. Revue De L' OFCE, 2012, 124(5):415.
[4] Zhang Y, Giannakis G B. Distributed stochastic market clearing with high-penetration wind power[J]. IEEE Transactions on Power Systems, 2015, 31(2):895-906.
[5] Khazaei J, Zakeri G, Oren S S. Single and multisettlement approaches to market clearing under demand uncertainty[J]. Operations Research, 2017, 65(5):1147-1164.
[6] Fang X, Hodge B M, Du E, et al. Continuous-time locational marginal price of electricity[J]. IEEE Transactions on Power Systems, 2019, 34(3):2013-2014.
[7] Khatami R, Parvania M. Continuous-time locational marginal price of electricity[J]. IEEE Access, 2019, 7:129480-129493.
[8] Tajer A. False data injection attacks in electricity markets by limited adversaries:Stochastic robustness[J]. IEEE Transactions on Smart Grid, 2019, 10(1):128-138.
[9] Jinsiwale R, Divan D. Energy access in community microgrids based on decentralized real-time pricing[C]//IEEE Decentralized Energy Access Solutions Workshop. Georgia Institute of Technology, Center for Distributed Energy, Atlanta, USA, 2019.
[10] Ortega-Vazquez M A, Kirschen D S. Optimizing the spinning reserve requirements using a cost/benefit analysis[J]. IEEE Transactions on Power Systems, 2007, 22(1):24-33.
[11] 郑欣, 蒋传文, 李磊, 等. 基于能耗和效益最优的发电权节能降耗分析[J]. 电力系统自动化, 2008, 32(24):39-42.Zheng X, Jiang C W, Li L, et al.Analysis of generation rights trade based on optimization of energy-saving and efficiency[J].Automation of Electric Power Systems, 2008, 32(24):39-42.
[12] 陈志刚, 柳瑞禹, 陈岸. 考虑节能减排的优化发电权交易机制研究[J]. 技术经济, 2010, 29(6):35-39.Chen Z G, Liu R Y, Chen A.Study on optimal generation right exchange mechanism based on energy saving and emission reduction[J].Technology Economics, 2010, 29(6):35-39.
[13] 王睿, 张粒子, 张丽娟, 等. 含风电场系统风电与抽水蓄能匹配容量研究[J]. 太阳能学报, 2012, 33(6):1037-1043. Wang R, Zhang L Z, Zhang L J, et al.Research on optimal capacity between wind power and pumped-storage power station[J].Acta Energiae Solaris Sinica, 2012, 33(6):1037-1043.
[14] 袁铁江, 晁勤, 吐尔逊·伊不拉音, 等. 电力市场环境下含风电机组的环境经济调度模型及其仿真[J]. 电网技术, 2009, 33(6):67-71. Yuan T J, Chao Q, Tuerxun Y, et al.An environmental/economic dispatch model for power grid containing wind power generation units and its simulation in electricity market environment[J].Power System Technology, 2009, 33(6):67-71.
[15] Dong F G, Shi L. Regional differences study of renewable energy performance:A case of wind power in China[J]. Journal of Cleaner Production, 2019, 233(1):490-500.
[16] 东明, 郭亚军, 郭宏. 统一价格竞价机制下发电商报价策略研究[J]. 系统工程理论与实践, 2004, 24(4):83-87. Dong M, Guo Y J, Guo H. Research on generating entities bidding strategies in uniform price auction rule[J]. Systems Engineering-Theory & Practice, 2004, 24(4):83-87.
[17] Zhao H, Wang Y, Zhao M, et al. Application of gradient descent continuous actor-critic algorithm for bilateral spot electricity market modeling considering renewable power penetration[J]. Algorithms, 2017, 10(2):53.
[18] Morales J M, Zugno M, Pineda S, et al. Redefining the merit order of stochastic generation in forward markets[J]. IEEE Transactions on Power Systems, 2014, 29(2):992-993.
[19] Shandilya A, Gupta H, Sharma J. Method for generation rescheduling and load shedding to alleviate line overloads using local optimisation[J]. 1993, 140(5):337-342.
[20] Pacis M C. Development of search algorithm for contingency case identification using matlab[C]//Humanitarian Technology Conference. IEEE, 2016:1-6.
[21] Salehizadeh M R, Soltaniyan S. Application of fuzzy Q-learning for electricity market modeling by considering renewable power penetration[J]. Renewable & Sustainable Energy Reviews, 2016, 56:1172-1181.

基金

国家自然科学基金(71573273,71934006)
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