文章摘要
孙兴鲁,董萍,王雅平,等.基于近似值函数的高渗透光伏接入下主动配电网鲁棒优化[J].电力系统自动化. DOI: 10.7500/AEPS20170908016.
Sun xinglu,Dong ping,Wang yaping, et al.Approximated Value Function Based Robust Optimization of Active Distribution Network with High Permeability Photovoltaic Access[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20170908016.
基于近似值函数的高渗透光伏接入下主动配电网鲁棒优化
Approximated Value Function Based Robust Optimization of Active Distribution Network with High Permeability Photovoltaic Access
DOI:10.7500/AEPS20170908016
关键词: 主动配电网  高渗透率光伏  近似值函数  自适应鲁棒优化  列与限制生成算法
KeyWords: active distribution network  high permeability PV  approximated value function  adaptive robust optimization  column and constraints generation algorithm
上网日期:2018-07-05
基金项目:国家重点基础研究发展计划(973计划),国家自然科学基金,其它
作者单位E-mail
孙兴鲁 华南理工大学 电力学院 1634410304@qq.com 
董萍 华南理工大学 电力学院 epdping@scut.edu.cn 
王雅平 华南理工大学 电力学院 599125757@qq.com 
李一琳 华南理工大学 电力学院 1045525164@qq.com 
摘要:
      摘要:针对高渗透率光伏接入下主动配电网(ADN)运行优化的不确定性问题,本文提出了一种基于近似值函数的自适应鲁棒优化方法。该方法考虑光伏出力的随机特性和系统运行的鲁棒性,通过自适应鲁棒优化保证系统安全运行,同时最小化运行成本。首先,建立考虑多种可调装置的ADN运行优化模型,并通过凸优化技术将该模型转化为混合整数二阶锥优化模型,然后,利用近似动态规划的值函数思想构造ADN时段解耦的自适应鲁棒优化模型,通过逐次投影近似算法进行近似值函数参数训练,最后,采用列与限制生成算法实现模型的鲁棒逐时段递推求解。对IEEE33节点和PG&E69节点系统进行算例分析,并与确定性优化、近似动态规划和两阶段鲁棒优化方法进行对比,验证了所提方法的可行性和有效性。
Abstract:
      Abstract:In view of the uncertainty in the optimization of active distribution network operation under high-permeability photovoltaic access,an adaptive robust optimization method based on approximate value function is proposed in this paper.The method considers the stochastic characteristics of PV output and the robustness of the system operation, ensuring the safe operation of the system through adaptive robust optimization and minimizing the operation cost at the same time.First of all,the optimal operation model is established considering various ADN adjustable devices,and the convex optimization technique is used to transform the original problem into a mixed integer second order cone optimization model.Then,we construct the time decoupling adaptive robust optimization model using the approximated value function of approximate dynamic programming,and the successive projection approximation routine algorithm is used to train the value function parameters being used in the robust model.Finally,column and constraints generation algorithm is adopted to solve adaptive robust model for each period successively by means of approximated value function.Case study on modified IEEE33-bus and PG&E69-bus distribution system is analyzed and compared with deterministic optimization,ADP and two-stage robust optimization method to verify the feasibility and effectiveness of the proposed method.
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