基于分布式模型预测控制的包含大规模风电集群互联系统超前频率控制策略

Multi-area Interconnected Power System Advanced Frequency Control Strategy Considering Large Scale Wind Power Cluster Integration Based on DMPC

随着风电在电力系统中的大规模接入以及风电渗透率的不断提高,仅依靠传统电源进行频率控制将无法满足系统稳定性要求,亟需风电具有与传统电源协调配合共同参与电力系统频率控制的能力。首先,建立了一个考虑非线性约束的包含大规模风电集群及传统电源的多区互联系统频率响应模型;其次,提出了考虑超短期风电功率预测信息的结合拉盖尔函数分布式模型预测控制策略,该策略依据风电预测数据对控制策略预测时域进行滚动优化,形成频率超前控制的优化机制;最后,提出了纳什均衡分解协调在线优化控制算法,解决带约束多变量复杂系统与在线滚动优化求解之间的矛盾。通过算例分析,对所提策略与算法的可行性和有效性进行了验证。

With the large scale wind integration in power system and the increasing wind penetration, frequency control with only traditional power supply cannot satisfy system stability requirements. It is necessary that wind power has the ability to coordinate with traditional power in power system frequency control. Firstly, a multi-area interconnected power system model with large scale wind power cluster and traditional power was established taking into consideration of several nonlinear physical constraints; Secondly, a Laguerre function based distributed model predictive control strategy concerning the ultra-short term forecasting information of wind power was proposed, which operated online rolling optimization using wind farm forecasting data to realize advanced frequency control; Finally, a Nash equilibrium coordination online optimization algorithm was proposed to solve the distributed model predictive control strategy using Laguerre functions, which realized online fast optimization of multivariable systems with constraints. The simulation results demonstrated the feasibility and effectiveness of the proposed strategy and algorithm.