基于改进粒子群算法的微网多目标经济运行策略研究

微网的经济运行是一个多目标多约束问题。为了处理各个目标的重要性，提出了一种集中式控制模型。Operator利用二元对比法对发电侧发电成本、需求侧用电成本以及可靠性成本的重要性定性排序，以及语气算子与模糊标度、相对重要性的隶属度值关系确定加权系数，将多目标优化问题转换为单目标优化问题。Operator利用改进的粒子群算法对发电侧发电成本、需求侧用电成本和可靠性成本三个指标进行折中处理。通过算例仿真，对比分析了不同性能指标下该控制模型的实用性。在对分布式电源的出力以及用户负荷合理调度下，既保证了微网的经济运行，同时也保证了微网运行的可靠性。

Study on multi-objective economic operating strategy of microgrid based on improved particle swarm optimization algorithm

The economic operation of the microgrid is a multi-objective and multi-constraint problem. In order to distinguish the importance of each objective, this paper proposes a centralized control model. The operator uses the dualistic contrast to sort the importance of the generation cost in generation-side, electricity cost in demand-side and reliability cost, and uses the relations among tone operator, fuzzy scale and membership degree of relative importance to determine the weighted coefficient, and the multi-objective problem is transformed into the single objective problem. The operator uses improved particle swarm to deal with the generation cost in generation-side, electricity cost in demand-side and reliability cost. Comparative analysis of different performance index is made, and the example simulation shows that the proposed model is effective to schedule the output power of distributed generation and load, which ensures both the economic operation and the reliability of the microgrid. This work is supported by National Natural Science Foundation of China (No. 61673174).