风光储互补微电网的优化调度与能量管理策略研究

Research on Optimal Scheduling and Energy Management Strategy of Wind-PV-ES Complementary Micro-Grid

摘要: 随着世界范围内的能源消耗与日俱增，传统电网结构单一和发电缺乏灵活性给用户端带来了很大的不便。为解决分布式电源接入大电网带来的问题，本文建立了基于风光储互补微电网系统的优化调度模型，分别对并网和孤岛模式进行了分析，提出风光储互补微电网在两种运行方式下以运行成本最低为目标的能量管理策略，并在基本粒子群算法上采用动态的学习因子和惯性权重对优化问题进行求解。最后针对不同负荷需求进行仿真分析，验证了本文提出的优化调度模型和能量管理策略的有效性。

Abstract: With the increasing energy consumption in the world, the unitary structure of traditional power grid and the lack of flexibility in power generation bring great inconvenience to users. In order to solve the problems caused by the distributed power access to power grid, an optimal dispatching model is established in this paper based on the wind-PV-ES hybrid micro-grid system, and respec-tively for interconnection and island mode are analyzed. Then the energy management strategy with the lowest running cost as the goal is proposed for two kinds of operation mode, and dynamic learning factors and inertia weights are used to solve the optimization problem on the basic particle swarm algorithm. Finally, simulation analysis is performed for different load requirements, and the effectiveness of the optimal scheduling model and energy management strategy proposed in this paper is verified.