风光储联合发电系统中的有功功率控制方法研究

项目名称： 风光储联合发电系统中的有功功率控制方法研究

项目编号： No.61201010

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电子学与信息系统

项目作者： 邹见效

作者单位： 电子科技大学

项目金额： 25万元

中文摘要： 风光储联合发电系统利用风能和太阳能在时间及地域上的互补性及储能系统的充放电特性，是解决风能、太阳能大规模开发对电网带来冲击问题的有效方案。但受电池成本、寿命等因素限制，配置的容量、功率往往有限，因此，有功功率优化协调控制已成为提高风光储发电系统电力输出性能的关键技术。本项目将对风光储发电系统中的有功功率控制理论与方法进行研究。主要包含：1）应用二自由度前馈-反馈鲁棒控制方法提高系统的跟踪特性及鲁棒性。前馈控制不仅可利用风、光发电功率的预测值，且可充分利用动态系统的先验信息。利用基于系统逆的鲁棒控制方法，可在干扰情况下进行有效控制。2）研究在风、光发电有功功率协调控制下的储能荷电状态双层控制方法，上层控制主要研究基于储能系统约束条件的多目标优化算法，下层控制研究储能元件的优化充放电控制策略。本项目以取得具有实际应用前景的原创性理论成果为目标，对风光储联合发电的发展及应用具有重要意义。

中文关键词： 风光储联合发电系统；等值建模；有功功率；多目标优化；SOC优化控制

英文摘要： As a new form of power generation unit, which utilized the complementary characteristics of wind power generation system with that of photovoltaic generation system and energy storage device, wind/PV/battery hybrid system can decrease active power fluctuation and improve power quality as well as mitigate the influence of active power fluctuation from the wind power generation system and PV generation sytem. However, challenges related to the current active power control in wind/PV/battery hybrid system exist. Limited by the cost and lifetime factor of the battery, how to regulate the power from the wind/PV power generation system and the battery storage system with minimum capacity to match the power demand of the grid is needed to address. Therefore, active power control is the key technology to substantially improve the power quality, reliability and efficiency of wind/PV/battery hybrid systems.This project, centered around active power control, aims at achieve the following four objectives: (1). Based on the real-time wind-speed/solar prediction, we propose a two-degree-of-freedom feedforward -feedback control approach to achieve both precision tracking of the rapidly-changed desired power generation and overall robustness of the power system against adverse disturbances and system dynamics variation effects

英文关键词： wind-PV-battery hybrid generation system；equivalent modeling；active power；multi-objective optimization；SOC optimizing control