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.%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.
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