基于MPC含分布式光伏配电网有功功率—无功功率协调控制

发布时间：2018-08-18 18:12

【摘要】：为应对配电网中光伏出力和负荷需求的波动性和随机性,保证系统的安全与经济运行,提出一种基于模型预测控制的含分布式光伏配电网有功功率—无功功率协调控制方法。该方法将控制过程划分为长时间尺度优化控制和短时间尺度优化控制,不同时间尺度优化控制针对各自的控制目标及控制变量分别执行单独的模型预测控制。长时间尺度优化控制基于光伏出力及负荷需求预测信息,采用多步滚动优化求解有功、无功出力,短时间尺度优化控制以长时间尺度的优化控制结果为基准值,滚动求解有功、无功出力增量。长时间尺度及短时间尺度优化控制模型均为难以求解的非凸、非线性模型,本文将模型转化为二阶锥规划问题实现求解。采用改进的IEEE 33节点配电网系统进行算例分析,结果证明了所提优化控制方法的可行性和有效性。
[Abstract]:In order to deal with the volatility and randomness of PV output and load demand in distribution network, and to ensure the safety and economic operation of the system, a coordinated control method of active power and reactive power with distributed photovoltaic distribution network is proposed based on model predictive control. In this method, the control process is divided into long time scale optimal control and short time scale optimal control. Different time scale optimal control performs a single model predictive control for their respective control objectives and control variables. Based on the forecasting information of PV output force and load demand, long time scale optimal control is used to solve active power, reactive power and short time scale optimal control based on the result of long time scale optimization. Reactive power output increment. The long time scale and short time scale optimal control models are both nonconvex and nonlinear models which are difficult to solve. In this paper, the model is transformed into a second order cone programming problem to be solved. An improved IEEE 33-bus distribution network system is used for example analysis. The results show that the proposed optimal control method is feasible and effective.
【作者单位】：中国农业大学信息与电气工程学院;中国电力科学研究院;
【基金】：国家重点研发计划资助项目(2016YFB0900400)~~
【分类号】：TM615

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