MES-STATCOM一体化构成原理与极端工况下的控制策略仿真研究

项目名称： MES-STATCOM一体化构成原理与极端工况下的控制策略仿真研究

项目编号： No.51207117

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 电气科学与工程学科

项目作者： 刘健

作者单位： 武汉工程大学

项目金额： 26万元

中文摘要： 分布式电源的功率波动性、间歇性与不确定性，是阻碍其安全、高效并网的重要原因，大容量储能技术与无功补偿技术为解决以上问题提供了途径，国内外已经展开两者一体化结合的研究，但是应用结果表明，现有一体化技术仍不能满足实际要求，特别是系统在极端工况下的深度补偿与多目标协同调控，这一方面是受一体化主电路结构和使用元件的限制，另一方面是缺乏相关的基础理论与仿真建模研究。本项目旨在将以蓄电池和超级电容为代表的多元储能器件与静止同步补偿装置进行高效的一体化融合，阐明一体化主电路的工作机理，提出最优的构成方式，揭示极端工况下系统电气量变化特征与规律，建立控制系统指标体系，研究基于多目标趋优的控制策略以及提高脉宽输出精度和安全稳定性的方法。并通过构建先进的仿真模型，模拟系统的各种极端运行工况，实现对一体化主电路、控制策略、原理与算法的高效仿真与准确评估。研究成果将为设备升级与工程实用化提供理论依据与指导。

中文关键词： 多元储能；静止同步补偿器；极端工况；控制策略；建模仿真

英文摘要： The fluctuation, intermittency and uncertainty of distributed energy resources are the major obstacles for their grid integration with security and effectiveness.However, this issue could be cured with the emergency of large scale energy storage technologies and reactive power compensation technologies. Although some researches on synthesizing these two types of technologies into a unified structure have been conducted, they are still far away from the practical requirements,especially those requirements on the deep compensation and mutli-objective control coordination under extreme operating conditions. This shall be accounted for, on the one hand by constraints from the unified main circuit structure and energy storage elements, and on the other hand by deficiencies of relevant fundamental thoretical studies and validation based on mathematical models simulation. This project aims to combine the multi-element energy storage devices, such as battery and super-capacitor with the STATCOM into a integrated structure, and it will explain operation mechanism of the integration main circuit; propose optimal constructure methods; disclose varying features and rules of electric variables under extreme operating conditions; establish index structure for the control system; investigate multi-objective based quasi optim

英文关键词： multi-element energy storage；STATCOM；extreme operation condition；control strategy；modeling and simulation