高渗透联网风电集群有功分层递阶控制策略

Active Hierarchical Progressive Control Strategy of Highly Penetrated Networked Wind Power Cluster

风电随机性、难预测性以及低可控性,导致大型风电基地各风场之间及风场内部无法有效执行调度指令。为保证电网安全稳定运行,通常会限制风电出力,进而导致弃风限电的问题。结合分层递阶思想,提出一种适用于多个接入点的风电场群有功控制策略。该策略在已有调度指令的基础上,通过协调各风电场间及风电场内部各机组的有功出力值,进而形成场群层、子场层的相应协调调度方法,并以改进后的遗传算法对模型进行求解。通过IEEE 30节点系统、基于东北某风电基地实际运行数据进行仿真分析的结果表明,提出的分层递阶控制策略在降低系统网损、提升调度精度的同时,大幅提升了风电消纳能力。

1 Randomness, unpredictability and low controllability of wind power cause difficulty in executing scheduling instructions effectively among wind farms of a large wind power base and inside wind farms. To ensure security and stability of power system operation, wind power output is generally limited, leading to wind power curtailment and restriction. In this paper, combining the idea of hierarchical progression, an active power control strategy applicable to multiple access points is proposed. This strategy coordinates the active power output of each wind turbine in the wind farms of large wind power base to form a coordinated dispatching method of wind farm group layer and wind turbine layer based on existing scheduling instructions. And then,an improved genetic algorithm is used to solve the model. Analysis results in IEEE30 node system based on actual operation data of a wind power base in Northeast China show that the hierarchical progressive control strategy proposed in this paper can reduce system loss, improve scheduling accuracy and achieve the goal of improving wind power accommodation capacity.