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基于MPC含分布式光伏配电网有功功率—无功功率协调控制

张颖 季宇 唐云峰

电力系统自动化2017,Vol.41Issue(21):140-146,7.
电力系统自动化2017,Vol.41Issue(21):140-146,7.DOI:10.7500/AEPS20161226001

基于MPC含分布式光伏配电网有功功率—无功功率协调控制

Coordinated Control of Active and Reactive Power for Distribution Network with Distributed Photovoltaic Based on Model Predictive Control

张颖 1季宇 2唐云峰1

作者信息

  • 1. 中国农业大学信息与电气工程学院,北京市 100083
  • 2. 中国电力科学研究院,北京市 100192
  • 折叠

摘要

Abstract

In order to solve the fluctuation and randomness of distributed photovoltaic (PV) output and load demand in distribution network and ensure the safety and economical operation of the system,a coordinated control method of active and reactive power for 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 on 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 uses the output of active and reactive power which is solved in the long-time scale optimization control as the reference value,and solves the active and reactive power output increment by multi-step optimization.The models are transformed into a second-order cone programming problem as both optimal models are non-convex and nonlinear,which are hard to solve.An improved IEEE 33-bus distribution network system is used to verify the feasibility and effectiveness of the proposed control method.

关键词

模型预测控制/有功功率—无功功率优化控制/多时间尺度协调/二阶锥规划

Key words

model predictive control/active-reactive power optimal control/multi-time scale coordination/second-order cone programming

引用本文复制引用

张颖,季宇,唐云峰..基于MPC含分布式光伏配电网有功功率—无功功率协调控制[J].电力系统自动化,2017,41(21):140-146,7.

基金项目

国家重点研发计划资助项目(2016YFB0900400).This work is supported by National Key Research and Development Program of China(No.2016YFB0900400). (2016YFB0900400)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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