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考虑发用电协调的售电公司负荷组合优化建模方法
引用本文:肖勇,王岩,钱斌,蒋静,高赐威.考虑发用电协调的售电公司负荷组合优化建模方法[J].电力系统自动化,2020,44(20):148-156.
作者姓名:肖勇  王岩  钱斌  蒋静  高赐威
作者单位:1.南方电网科学研究院有限责任公司,广东省广州市 510080;2.东南大学电气工程学院,江苏省南京市 210096
基金项目:中国南方电网有限责任公司科技项目(ZBKJXM20170079);已申请国家发明专利(申请号:201811359585.0)。
摘    要:电力市场环境下,如何根据用户用电特征制定优化策略以实现购售电利益最大化是售电公司一项重要的研究课题。针对中长期市场中考虑发用电协调的售电公司,提出了考虑售电公司购售电利益的负荷组合优化模型,并考虑需求响应技术来进一步优化用户综合负荷特性,最大化市场环境下售电公司的购售电利益。同时,针对需求响应的负荷反弹问题,引入三阶段反弹负荷模型,构建考虑负荷反弹的滚动优化改进模型,重新调整用户需求响应负荷值,从而改善需求响应负荷反弹情况下的组合用户需求响应负荷特性。最后,采用中国某市2017年工业用户群组负荷数据对所提出的模型及策略进行仿真分析,说明了所提方法的有效性。

关 键 词:电力市场  负荷组合优化  需求响应  负荷反弹  购售电利益
收稿时间:2020/6/28 0:00:00
修稿时间:2020/7/23 0:00:00

Modeling Method of Load Combination Optimization for Electricity Retailer Considering Coordination of Power Generation and Consumption
XIAO Yong,WANG Yan,QIAN Bin,JIANG Jing,GAO Ciwei.Modeling Method of Load Combination Optimization for Electricity Retailer Considering Coordination of Power Generation and Consumption[J].Automation of Electric Power Systems,2020,44(20):148-156.
Authors:XIAO Yong  WANG Yan  QIAN Bin  JIANG Jing  GAO Ciwei
Affiliation:1.Electric Power Research Institute of China Southern Power Grid Co., Ltd., Guangzhou 510080, China;2.School of Electrical Engineering, Southeast University, Nanjing 210096, China
Abstract:Under the environment of power market, it is an important research topic how to make optimization strategy to maximize electricity benefits for electricity retailers according to electricity consumption characteristics of users. Aiming at the electricity retailers considering the coordination of power generation and consumption in medium- and long-term markets, the model of load combination optimization considering the benefits of electricity purchase and sale for electricity retailers is put forward. The demand response technology is further considered to optimize the integrated load characteristics of users. The benefits of electricity purchase and sale for electricity retailers is maximized in the market environment. At the same time, aiming at the load rebound problem of the demand response, a three-stage load rebound model is adopted. And a improved rolling optimization model considering load rebound is constructed to readjust the load value of demand response for users, which improves the load characteristics of demand response for combined users with the load rebound of demand response. Finally, the proposed model and strategy are simulated and analyzed based on the load data of industrial user group in a city of China in 2017, which verifies the effectiveness of the model
Keywords:electricity market  optimization of load combination  demand response  load rebound  benefit of electricity purchase and sale
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