新能源微电网分布式协调预测控制策略研究

Renewable microgrid is one of the most effective methods to utilize the distributed renewable energy resources, which is the new trend in the development of smart grid. The power balance and economic dispatch are the fundamental problems for the stable and economic operation of renewable microgrids. Based on the application requirements of renewable microgrid and its features, this project investigates the distributed coordinated predictive control strategy for the power balance and economic dispatch problems in renewable microgrids. The contents include: The distributed generation system model is established according to the operation and control features of renewable microgrid. The distributed coordinated predictive control and optimization strategies for the complex distributed generation system will be studied to solve the power balance and economic dispatch problems in renewable microgrids. The performance analysis method is established to analyze the convergence of the algorithm and the stability and robustness of the closed-loop system, which can ensure that the system has good communication and control performance. The distributed stochastic model predictive control algorithm will be designed for the randomicity and uncertainty of renewable microgrids. The impact of various types of communication constraints on the distributed coordinated predictive control algorithms will be considered. The qualitative and quantitative relationship between the algorithm performance and communication constraints will be analyzed, and the distributed coordinated predictive control algorithms design under given communication constraints will be investigated. Experimental platform is built for the distributed coordinated predictive control of renewable microgrids to validate the proposed algorithms. This research can provide the effective theoretical guidance and technical support for the power balance and economic dispatch problems of renewable microgrids.

新能源微电网是实现分布式可再生能源利用的有效途径，是智能电网发展的新趋势。功率平衡与经济调度是新能源微电网稳定、经济运行的基础。本项目拟针对新能源微电网功率平衡与经济调度问题，根据其应用需求和运行特征，研究新能源微电网的分布式协调预测控制策略。主要研究内容包括：建立反映新能源微电网运行与控制特征的分布式发电系统模型；针对新能源微电网的功率平衡与经济调度问题，研究其分布式协调预测控制与优化策略，并建立分布式协调预测控制闭环系统性能分析方法；针对新能源发电的随机性及不确定性，设计分布式随机模型预测控制算法；考虑通信约束对所设计算法的影响，研究在各种通信约束下相应分布式协调预测控制算法的设计问题；搭建新能源微电网网络化控制实验平台实现分布式协调预测控制，对所设计的算法进行实验验证。本课题的研究将为新能源微电网的功率平衡与经济调度提供有效的理论指导和技术支持。

新能源微电网是发挥分布式电源效能得最有效途径，对推进能源革命和实现能源可持续发展具有重要意义。本项目针对新能源微电网功率平衡与经济调度问题，建立了能反映新能源微电网运行与控制特征的分布式发电系统模型；研究了新能源微电网分布式协调预测控制与优化策略，并建立了分布式协调预测控制闭环系统性能分析方法；针对新能源发电的随机性及不确定性，研究了鲁棒分布式模型预测控制算法；考虑计算负担对所设计算法的影响，研究了基于事件触发的分布式协调预测控制算法的设计问题，并对所设计的控制算法进行了仿真和实验验证。在国内外期刊和会议上发表高水平学术论文17篇，授权发明专利9项。本研究已完成预期研究目标，取得的研究成果可以为新能源微电网的功率平衡与经济调度提供有效的理论指导和技术支持。