风电介入下的多区域互联电力系统分布式经济模型预测负荷频率控制

Distributed economic model predictive load frequency control for themulti-area interconnected power system with wind power integration

针对风电介入下的多区域互联电力系统,提出一种分布式经济模型预测负荷频率控制策略.通过将大规模互联电力系统分解成若干个动态耦合的子系统,这些子系统能够利用网络交流并共享信息,使得各区域的控制器实现各自优化问题的求解.同时,在满足状态约束和控制输入约束的前提下,遵循传统火力发电优先、风力发电配合的原则,通过在线求解优化问题,实现风电介入下的多区域互联电力系统的负荷频率控制.为了提高系统整体运行经济性,所提出的分布式经济模型预测控制器将负荷调频成本、燃料消耗成本以及风力发电成本等经济性指标考虑在内.仿真结果表明,在阶跃负荷扰动下,所设计的控制器不仅可以满足调频要求,在降低计算负担和提高经济性能方面也具有一定优势.

This paper proposes a distributed economic model predictive control(DEMPC)approach for the load frequency control(LFC)of the multi-area interconnected power system with wind power integration.By decomposing the power system into several dynamically coupled subsystems,these subsystems can communicate and share information through the network,so that the controllers in each region can solve their own optimization problems.By minimizing the cost function,the proposed DEMPC method realizes the LFC while ensuring the state constraints and the control input constraints.The cost function is chosen based on the principle that the traditional thermal power plant has the priority while the wind power plant coordinates with the thermal power plant.In order to improve the overall operation economics,the stage cost function of the DEMPC controller considers the economic performance indices,i.e.,load frequency regulation cost,fuel consumption cost,and wind power generation cost.The simulation results and analysis show that the designed DEMPC controller not only meets the frequency modulation requirements under the step load disturbance,but also has certain advantages in terms of computational burden and economic performance.