并网型微电网优化调度及经济性分析

Research on Improved Genetic Algorithm for Micro-Grid Grid-connected Multi-objective Optimization Scheduling

分布式电源出力的波动性和随机性,会对微电网并网运行产生较大影响,导致可再生能源不能充分消纳,针对这一问题,以微电网运行总成本最小为目标函数,构建含风电、光伏、微型燃气轮机和储能装置的优化调度模型。为提高算法收敛性,应用改进遗传算法,结合实际微电网工程案例,以Matlab为主要工具对上述模型进行求解,得到微电网各机组出力优化结果并进行分析。算例结果表明该模型能够实现微电网经济最优,验证了所提方法的有效性。

The volatility and randomness of the distributed power supply will have a great impact on the grid-connected operation of the micro-grid which will lead to the insufficient consumption of renewable energy.For this problem,the article takes the minimum total operating cost of the micro-grid as the objective function and builds optimized scheduling model for wind power,photovoltaic,micro gas turbines and energy storage devices.In order to improve the convergence of the algorithm,the improved genetic algorithm is applied.Combined with the actual micro-grid engineering case,Matlab is used as the main tool to solve the above model and the output optimization results of each unit of the micro-grid are obtained and analyzed.The results of the example show that the model can achieve the economic optimization of the microgrid and verify the effectiveness of the proposed method.