现代电力 ›› 2020, Vol. 37 ›› Issue (4): 425-432.doi: 10.19725/j.cnki.1007-2322.2019.0412

• 电力市场 • 上一篇    下一篇

考虑不确定性价格型需求响应的多源微网运行优化

高佳1, 肖迎群2, 马蕊1, 张金钱1   

  1. 1.贵州大学电气工程学院,贵州省 贵阳市 550025;
    2.贵州理工学院大数据学院,贵州省 贵阳市 550003
  • 收稿日期:2019-05-12 出版日期:2020-08-10 发布日期:2020-08-07
  • 作者简介:高佳(1995),男,硕士研究生,研究方向为微电网的经济优化,E-mail:1780976784@qq.com;肖迎群(1975),男,副教授,硕士生导师,通信作者,研究方向为高维数据分析、机器学习,E-mail:706930835@qq.com;马蕊(1995),女,硕士研究生,研究方向为分布式发电技术,E-mail:1191456544@qq.com;张金钱(1995),男,硕士研究生,研究方向为智能算法在微网中的应用,E-mail:928683496@qq.com
  • 基金资助:
    国家自然科学基金项目(61540051);贵州省科学基金重点项目(黔科合LH字[2014]7356号)

Multi-source Micro-grid Operation Optimization Considering Uncertain Electricity Price Demand Response

GAO Jia1, XIAO Yingqun2, MA Rui1, ZHANG Jinqian1   

  1. 1. School of Electric Engineering, Guizhou University, Guiyang 550025, Guizhou Province, China;
    2. School of Big Data, Guizhou Institute of Technology, Guiyang 550003, Guizhou Province, China
  • Received:2019-05-12 Online:2020-08-10 Published:2020-08-07
  • Supported by:
    Project Supported by National Natural Science Foundation of China (61540051); Natural Science Foundation of Guizhou Province (LH [2014] No. 7356)

摘要: 为提高微网供需两侧的经济运行水平,分析价格弹性系数不确定性给微网需求侧和供应侧带来的成本影响,在微网需求侧,建立了考虑价格弹性系数不确定性的需求响应成本效益模型;然后在微网供应侧,以经济运行成本和环境成本为优化目标,结合微网实际运行约束,建立了考虑不确定性价格需求响应的微网经济运行优化模型,提出一种新的差分粒子群混合算法作为优化模型的求解方法。采用基准函数作优化对比测试,验证了改进算法的有效性和可靠性。通过仿真实验结果得出:考虑价格弹性不确定性因素,会增加微网需求响应成本,同时,加入不确定性因素后微网供应侧运行效益有所降低。

关键词: 微电网, 价格型需求侧响应, 价格不确定性, 优化算法

Abstract: To improve the economic operation level at both supply and demand sides of microgrid, the influences of price elastic coefficient uncertainty on the cost at the both sides was analyzed. Firstly, at the demand side of microgrid, a demand-response cost-effectiveness model, in which the uncertainty of price elastic coefficient was taken into account, was established. Secondly, at the supply side of microgrid, taking economic operation cost and environment cost as optimal objectives and combining with practical operational constraints in microgrid, an economic operation optimization model of microgrid, in which the uncertain price demand response was taken into account, was established, and then a new hybrid difference particle swarm optimization was proposed as the solving method for the established optimization model, in which the benchmark functions was utilized to conduct the contrastive test to verify the effectiveness and reliability of the improved algorithm. Simulation results show that the demand response cost of microgrid increases while the price elastic uncertain factor is taken into account, besides, the operation benefit at the supply side of microgrid decreases to some extent while the uncertain factors are added.

Key words: microgrid, price-based demand response, price-uncertainty, optimization algorithm

中图分类号: 

  • TM619