微电网日前优化调度的研究

Research on the Optimization of Microgrid Scheduling

摘要: 微电网在考虑风能、光伏等新能源和蓄电池储能环节的综合调度方案中，经济性的影响变得复杂而至关重要。首先，根据微电网实际运行需求，建立了包括负荷情况、购电电价、售电电价、新能源发电及储能环节等条件的约束模型。我们分别探讨了直接从电网购电和充分利用可再生能源作为主要供电方式的平均购电电价情况。随后，基于全天最小供电成本作为优化目标，并考虑了蓄电池参与调控、风力和光伏启用的决策因子以及优利用率，在多种约束条件下采用了改进的粒子群算法。通过计算和调度微电网系统中风能、光能和蓄电池的运行状态，实现经济效益的最大化，最终降低了总供电成本。

Abstract: In the integrated dispatch scheme of microgrids considering new energy sources such as wind en-ergy and photovoltaic energy, as well as battery energy storage, the economic impact becomes com-plex and crucial. Firstly, according to the actual operation requirements of the microgrid, a con-straint model was established including load conditions, power purchase price, electricity sales price, new energy power generation and energy storage links. We look at the average PPA for pur-chasing electricity directly from the grid and for making full use of renewable energy as the primary mode of power supply. Subsequently, based on the minimum power supply cost of the whole day as the optimization goal, and considering the decision-making factors of battery participation in regu-lation, wind power and photovoltaic activation, and optimal utilization rate, the improved particle swarm optimization was adopted under multiple constraints. By calculating and scheduling the op-erating status of wind, solar, and storage batteries in the microgrid system, the economic benefits are maximized, and the total power supply cost is ultimately reduced.