文章摘要
张颖,季宇,唐云峰.基于模型预测控制的含分布式光伏配电网有功—无功协调控制[J].电力系统自动化. DOI: 10.7500/AEPS20161226001.
ZHANG Ying,JI Yu,TANG Yunfeng.Coordinated Control of Active and Reactive Power of Distribution Networkwith Distributed PV via Model Predictive Control[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20161226001.
基于模型预测控制的含分布式光伏配电网有功—无功协调控制
Coordinated Control of Active and Reactive Power of Distribution Networkwith Distributed PV via Model Predictive Control
DOI:10.7500/AEPS20161226001
关键词: 模型预测控制  有功—无功优化控制  多时间尺度协调  二阶锥规划
KeyWords: model predictive control  active-reactive power optimal control  multi-time scale coordination  second-order cone programming
上网日期:2017-05-16
基金项目:
作者单位E-mail
张颖 中国农业大学信息与电气工程学院 zy0106@cau.edu.cn 
季宇 中国电力科学研究院 jiyu@epri.sgcc.com.cn 
唐云峰 中国农业大学信息与电气工程学院 tyf@cau.edu.cn 
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—无功协调控制方法。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IEEE33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 solve the fluctuation and randomness of distributed PV output and load demand in distribution network and ensure the safety and economic operation of the system, a coordinated control method of active and reactive power of distribution network with distributed PV based on model predictive control is proposed. The method divides the control process into long-time scale optimization control and short-time scale optimization control. Based on the forecasting information of PV output and load demand, multi-step optimization is used to solve the active and reactive power output in long-time scale optimization control. Short-time scale optimization control used the output of active and reactive power which is solved in the long-time scale optimization control as reference value,solved the active and reactive power output increment by multi-step optimization. The models are transformed into a second-order cone programming problem for both the optimal models are non-convex and nonlinear which are hard to be solved. An improved IEEE 33-bus distribution network system is used to analyze the feasibility and the effectiveness of the proposed control method.
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