基于电压补偿和负荷供需平衡的风光储微网优化控制策略

项目名称： 基于电压补偿和负荷供需平衡的风光储微网优化控制策略

项目编号： No.61503348

项目类型： 青年科学基金项目

立项/批准年度： 2016

项目学科： 自动化技术、计算机技术

项目作者： 丁敏

作者单位： 中国地质大学（武汉）

项目金额： 21万元

中文摘要： 针对风光储微网并网运行过程，本项目研究一种基于电压补偿和负荷供需平衡的风光储微网优化控制策略。通过分析微网中各微电源并网电力电子装置的动态行为特性，构建并网电力电子装置的等值电路统一模型，建立微电源统一模型的状态空间方程描述；针对来自配电网的电压暂降扰动，设计扰动估计器估计电压跌落值，建立电压跌落估计值与各微电源输出变量的关系模型，研究一种基于电压补偿的微网稳定运行控制策略；研究风电功率和光伏功率预测方法，建立基于风电功率和光伏功率预测的微网经济运行动态模型，研究基于负荷供需平衡的微网经济运行优化方法，指导储能系统充放电过程的能量管理；搭建面向办公室的风光储微网实验系统，探讨微网优化控制技术的实际应用。本项目的研究将为联网风光储微网的稳定和经济运行提供新思路，对于风光储微网的推广应用具有重要的科学意义。

中文关键词： 风光储微网；状态空间模型；优化控制；电压补偿控制；负荷供需平衡

英文摘要： Optimization and control strategy based on voltage compensation and supply-demand balance for wind-PV-storage microgrid is studied. According to analyzing the dynamic characteristic of the grid-connected power electronic devices in microsource, an equivalent circuit based unified model of the grid-connected power electronic devices is designed and a unified model of the microsource is established. And then, the state equation of the unified model is acquired. When voltage sag is occurred in the power distribution network, a disturbance estimation is constructed to estimate the voltage sag. The relation model of the output from microsource and the estimated voltage sag is establied. The voltage compensation based control method of microgrid is studied. A dynamic model of economical operation for microgrid is established based on wind power prediction and PV power prediction. The optimal strategy of economical operation for microgrid is studied based on balance between supply and demand of load power, which can conduct the charge and discharge process of the storage. The application of the wind-PV-storage microgrid is investigated in a building to provide power for offices. By studing the project, new and effective methods for stable and economical operation of grid-connected wind-PV-storage microgrid are proposed, which indicates the important scientific significance and application value for improving wind-PV-storage microgrid.

英文关键词： wind-PV-storage microgrid;state space model;optimization and control;voltage compensation control ;supply-demand blance