摘要
在电力市场环境下,含电动汽车风光互补微电网参与市场交易面临的风险,使得传统研究无法满足其交易风险管控的需要。首先剖析了含电动汽车风光互补微电网参与市场交易面临的风险问题。其次,考虑市场风险,利用半绝对离差风险作为度量工具,建立了微电网市场交易风险评估指标。然后,建立了计及市场风险的含电动汽车风光互补微电网随机规划调度模型。提出采用内嵌Monte Carlo随机模拟技术的快速非支配排序遗传算法求解所建模型,并用信息熵模糊法获得最优解。算例验证了计及市场风险的含电动汽车微电网随机规划调度模型的有效性。
In electric power market, it is difficult for traditional research to meet the requirements of the risk management for the wind and photovoltaic microgrid integrated with electric vehicles because of a risk involved by participating market transactions. Firstly, a few key problems in market transactions are analyzed in this paper. Secondly, an assessment indicator to measure the risk of participating in market transactions for the microgrid is established by using semi-absolute deviation risk as a measurement tool, and then a stochastic programming dispatching model is built base on the indicator. The model is solved by a fast non-dominated sorting genetic algorithm with the embedded Monte Carlo stochastic simulation technique, then the fuzzy decision making method based on information entropy is adopted to select the best solution. The simulation results on a test case show that the stochastic programming dispatching model for the microgrid integrated with electric vehicles considering market risk is effective.
作者
黄淼
陈鑫
文旭
郭琳
高春成
HUANG Miao;CHEN Xin;WEN Xu;GUO Lin;GAO Chuncheng(College of Automation,Chongqing University of Posts and Telecommunications,Nan’an District,Chongqing 400065,China;Southwest Subsection of State Grid,Chengdu 610041,Sichuan Province,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology(Chongqing University),Shapingba District,Chongqing 400030,China;Power Exchange Center of Chongqing Power Grid,Yuzhong District,Chongqing 400014,China;Beijing Kedong Electric Power Control System Co.,Ltd.,Haidian District,Beijing 100192,China)
出处
《电网技术》
EI
CSCD
北大核心
2020年第8期2883-2890,共8页
Power System Technology
基金
国家自然科学基金项目(51677012)
国家电网有限公司科技项目“供需互动的电力市场运营风险分析与支撑技术研究”。
关键词
电力市场
微电网
市场风险
遗传算法
随机模型
快速非支配排序
distribution network
electricity market
microgrid
market risk
genetic algorithm
stochastic programming
non-dominated fast sorting
