基于MPC含风-光配电网的多时间尺度电压优化控制  

Multi-time Scale Voltage Optimization Control Based on MPC Wind Solar Distribution Network

作　　者：张令雄 杨毅强 徐万 夏岩 李珂 ZHANG Ling-xiong;YANG Yi-qiang;XU Wan;XIA Yan;LI Ke(School of Automation and Information Engineering,Sichuan University of Science&Engineering,Yibin 644000,China;Artificial Intelligence Key Laboratory of Sichuan Province,Yibin 644000,China;Sichuan Hydrogen Energy and Multi-energy Complementary Microgrid Engineering Technology Research Center,Mianyang 621000,China)

机构地区：[1]四川轻化工大学自动化与信息工程学院,宜宾644000 [2]人工智能四川省重点实验室,宜宾644000 [3]四川省能源与多能互补微电网技术研究中心,绵阳621000

出　　处：《科学技术与工程》2025年第2期630-639,共10页Science Technology and Engineering

基　　金：四川省科技厅项目(2022YFS0518);四川省氢能源与互补微电网工程技术研究中心开放基金(2024DWNY006)。

摘　　要：为解决可再生能源并入配电网对系统引起的电压波动,基于模型预测控制(model predictive control,MPC)提出电压协调控制方法保证安全运行。针对风电光伏出力不确定性提出AP-K-Medoids聚类算法对出力场景进行生成与削减,以系统网损最小为优化目标建立模型。采用接入有载调压变压器、电容器组、静止无功补偿器、风-光无功出力及储能充、放电协调多时间尺度电压控制。长时间尺度优化控制通过多时步滚动优化求解系统各装置出力,以风-光出力及负荷需求预测为前提;而短时间以长时间为基础滚动优化求解出力的增量。优化控制模型是非凸、非线性的模型,利用二阶锥规划模型处理非线性问题实现求解。采用改进的IEEE33节点配电网系统进行算例分析,研究结果证明所提电压优化控制策略的可行性。To address the voltage fluctuations caused by the integration of renewable energy into the distribution network,a voltage coordinated control method based on MPC(model predictive control)was proposed to ensure safe operation.Aiming at the uncertainty of wind and photovoltaic output,the AP-K-Medoids clustering algorithm was proposed to generate and reduce output scenarios,and a model was established with the optimization objective of minimizing system network loss.Adopting multi time scale voltage control through the integration of on load voltage regulating transformers,capacitor banks,static reactive power compensators,wind solar reactive power output,and energy storage charging and discharging coordination.Long term scale optimization control solves the output of each device in the system through multi-step rolling optimization,with wind solar output and load demand prediction as the premise.On the basis of short-term and long-term rolling optimization,the increment of output is solved.The optimization control model is a non convex and nonlinear model,which utilizes a second-order cone programming model to solve nonlinear problems.Using an improved IEEE33 node distribution network system for case analysis,the research results demonstrate the feasibility of the proposed voltage optimization control strategy.

关 键 词：配电网 模型预测控制 聚类算法 电压控制 滚动优化 二阶锥规划 

分 类 号：TM743[电气工程—电力系统及自动化]