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Distributed optimal active and reactive power control for wind farms based on ADMM

机译:基于ADMM的风电场分布式最优主动和无功功率控制

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In this paper, a distributed optimal active and reactive power control (DARPC) strategy based on the alternating direction method of multipliers (ADMM) is proposed for wind farms (WFs). The WFs operate in a distributed manner to minimize the network power loss, voltage deviations of buses from the rated voltage, and active power output deviations of WTs from their proportional distribution (PD)-based power reference. An optimization problem is formulated as a quadratic programming (QP) problem by using the linearized DistFlow model. The ADMM-based solution is used to decompose the centralized optimization problem to several subproblems which are solved in individual local controllers with exchanged information from their practical neighbor controllers. Compared with existing distributed/hierarchical optimal control, the impacts of the active power injection from the WTs are taken into consideration and optimized while meeting the dispatch command from the transmission system operator (TSO). The ADMM-based distributed solution eliminates the requirement of a central unit. Compared with conventional centralized optimal control, the scalability of the WFs is improved. A WF consisting of 20 WTs is simulated in MATLAB/Simulink to test the control effectiveness of the proposed DARPC strategy.
机译:本文提出了一种基于乘法器(ADMM)交替方向方法的分布式最佳有源和无功功率控制(DARPC)策略,用于风电场(WFS)。 WFS以分布式方式运行,以最小化网络功率损耗,从额定电压的总线电压偏差,以及WTS从其比例分布(PD)的功率参考的主动功率输出偏差。通过使用线性化的Distflow模型将优化问题作为二次编程(QP)问题。基于ADMM的解决方案用于将集中式优化问题分解为几个子问题,该子问题在各个本地控制器中解决了来自其实际邻居控制器的交换信息。与现有分布式/分层最优控制相比,考虑了来自WTS的有源电力注入的影响,并在从传输系统运营商(TSO)与调度命令相遇时进行优化。基于ADMM的分布式解决方案消除了中央单元的要求。与传统集中化最优控制相比,改善了WFS的可扩展性。 Matlab / Simulink中模拟了由20个WT组成的WF,以测试提议的DARPC策略的控制效果。

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