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。
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.
出处
《电力系统自动化》
EI
CSCD
北大核心
2017年第21期140-146,共7页
Automation of Electric Power Systems
基金
国家重点研发计划资助项目(2016YFB0900400)~~
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
model predictive control
active-reactive power optimal control
multi-time scale coordination
second-order coneprogramming
