中文摘要：

为解决风电、光伏发电出力的随机性给微网调度带来的问题,利用可再生能源的概率分布函数来描述系统中存在的不确定性因素,引入失负荷风险指标和风光浪费风险指标建立了考虑发电经济性和环保性的多目标模型,保证微网供电的可靠性和可再生能源的高效利用。采用改进型多目标粒子群算法求解该模型,然后通过熵权法决策出最终的调度方案,避免人为确定多目标权重问题主观因素的影响,使微网调度的整体效益达到最优,算例结果验证了所提模型及算法的有效性。

英文摘要：

To solve the troubles in microgrid dispatching caused by the randomness of wind power generation and PV generation, through utilizing the probability distribution function of renewable energy sources to describe the uncertainty factors existing in microgrid and leading in the risk indicator of load loss and the risk indicator of wind power curtailment and wasted solar energy a multi-objective model, in which the generation economy and environmental protection are considered, is established to ensure the reliability of microgrid power supply and efficient utilization of renewable energy sources. The improved multi-objective particle swarm optimization（MOPSO） algorithm is used to solve the proposed model, and then through the entropy weight based decision-making the final dispatching scheme is determined, thus the impact of subjective factor in artificially determining multi-objective weights can be avoided to make the overall benefits of microgrid dispatching optimal. Validity of the proposed model and algorithm is verified by calculation results.