摘要
包含分布式电源的微电网以其灵活、清洁、经济的能源供需模式,成为了智能电网建设的一个重要组成部分。为充分发挥微电网中分布式电源的经济性和环保性,建立微电网优化运行的多目标函数模型,在此基础上分析多目标优化问题的求解算法。在粒子群优化算法中加入子种群杂交操作,使其适用于多目标优化问题的求解,并将其应用于微电网的优化运行。以发电成本、环境成本和甩负荷补偿成本为子目标函数,进行仿真验算。算例结果表明所述算法可实现微电网多目标优化运行。
Microgrid which contains distributed generations has become an important part in the construction of smart grid, due to its flexible, clean and economic energy supply mode. To give full play to the economic and environmental benefits of distributed generations in microgrid, a multi-objective optimal operation model of microgrid is built. A multi-objective particle swarm optimization algorithm with hybridization of sub-populations is introduced and applied to the optimal operation of microgrid. Power generation cost, environmental cost and load rejection compensation cost are used as the sub-objective functions in the simulation example. Simulation results show that the proposed algorithm can solve the multi-objective optimal operation of microgrid effectively.
出处
《智能电网》
2015年第2期107-111,共5页
Smart Grid
关键词
微电网
优化运行
多目标优化
粒子群优化算法
microgrid
optimal operation
multi-objective optimization
particle swarm optimization algorithm
