基于文化基因算法的交直流混合微网优化运行

Optimal Operation of Hybrid AC/DC Microgrid Based on Memetic Algorithm

随着负荷种类逐渐增多,电力系统中直流负荷比例越来越大。交直流混合微网可以同时满足交流负荷和直流负荷需求,是目前研究的热点和难点。合理优化交直流混合微网中微源出力对于供电可靠性和微网运行成本至关重要。该文综合考虑微源燃料成本、电网购电成本、环境效益成本、网损、运行维护成本、微源初期建设成本及发电补贴,建立多目标、多约束优化运行数学模型。利用文化基因算法中特有的局部搜索和全局搜索理念,引入竞争和协作方法对目标函数展开迭代,从而提高算法收敛精度。将文化基因算法应用到求解交直流混合微网优化运行目标函数中,优化交直流混合微网运行成本,通过算例运行结果验证该算法的正确性和可行性。

With the types of load gradually increased, the proportion of DC load in power system is more and more high. Hybrid AC/DC microgrid can meet the needs of AC load and DC load simultaneously which is the hot and difficult point of current research. Appropriate optimization of micro sources in hybrid AC/DC microgrid is crucial for the reliability of power supply and microgrid operating cost. Considering the electricity purchasing cost, fuel cost, environmental cost, net loss, operation and maintenance cost, initial construction cost of micro sources and power generation subsidy, a multi-objective and multi constraint optimal mathematical model was established. Based on the local search and global search, the competition and cooperation operation was used in memetic algorithm to improve its accuracy while solving the objective function. Memetic algorithm was applied to solving the objective function of hybrid AC/DC microgrid to optimize its operating cost. The correctness and feasibility of the algorithm was verified through a practical example.