计算机工程

• 开发研究与工程应用 • 上一篇    

智能微电网中一种多对多售电利益优化算法研究

张栩 1,温蜜 1,孙旭 1,张宇 2   

  1. (1.上海电力学院 计算机科学与技术学院,上海 200090; 2.国网上海市电力公司 电力科学研究院,上海 200122)
  • 收稿日期:2016-09-09 出版日期:2017-10-15 发布日期:2017-10-15
  • 作者简介:张栩(1991—),女,硕士,主研方向为智能电网、微电网信息管理与安全;温蜜,副教授、博士;孙旭,硕士;张宇,高级工程师。
  • 基金项目:
    国家自然科学基金(61373152,61572311);上海教育委员会科研创新项目(14YZ129)。

An Optimization Algorithm Research for Profit of Multi-to-Multi Electricity Sale in Intelligent Micro-grid

ZHANG Xu  1,WEN Mi  1,SUN Xu  1,ZHANG Yu  2   

  1. (1.College of Computer Science and Technology,Shanghai University of Electric Power,Shanghai 200090,China; 2.Electric Power Research Institute,State Grid Shanghai Municipal Electric Power Company,Shanghai 200122,China)
  • Received:2016-09-09 Online:2017-10-15 Published:2017-10-15

摘要: 随着智能电网的发展,电力市场利益优化问题已成为制约微电网电力市场发展的关键。为此,提出一种基于遗传算法的电力交易优化模型。分析模型影响因素,得到利益目标函数,构建利益优化模型,同时,对买卖双方进行二进制编码,通过遗传算法进行卖方利益最大化运算,并在运算过程中得到买卖双方分配结果,实现利益优化。仿真结果表明,遗产算法可以有效地为电力交易模型找到可行的最优解,与松弛算法相比,更加合理且能得到更大利益。

关键词: 微电网, 电力系统, 利益优化, 遗传算法, 松弛算法

Abstract: With the development of smart grid,the profit optimization in electricity market has become the key fact to the progress of micro-grid electricity market.Therefore,an optimization model of electricity transaction based on Genetic Algorithm(GA) is proposed.The model influencing factors are analyzed and a profit objective function is obtained,then a profit optimization model is constructed.At the same time,GA makes binary encodings for buyers and sellers,and executes the operation to maximize the profit of sellers.In the process of this operation,GA can also get the results of distribution of buyers and sellers to achieve the optimization of profit.Simulation results show that GA can effectively find a feasible optimal solution for the electricity transaction model.Compared with relaxation algorithm,GA is more reasonable and can get greater benefit.

Key words: micro-grid, electricity system, profit optimization, Genetic Algorithm(GA), Relaxation Algorithm(RA)

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