南方电网技术2016，Vol.10Issue(12)：45-52,60,9.DOI:10.13648/j.cnki.issn1674-0629.2016.12.007
考虑用户利益的柔性负荷优化控制算法
Optimal Control Algorithm of Flexible Load Considering User Interests
摘要
Abstract
To solve the problem of rising peak-valley load difference,the paper proposes an optimized flexible load control algorithm for air-conditioned room,electric water heater,and electric vehicle respectively from the view of customers.Based on time-of-use price,the algorithm completes the dual-objective optimization control considering constraints of economic benefits and user comfort,and can be realized through intelligent user terminals.In the algorithm,traditional load models for air-conditioner room and waterheater are improved,the multivariable thermodynamic process is separated into several independent univariate sub-processes,the model parameters are obtained by parametric regression from history data,therefore,random parameters are reduced in the algorithm.Optimized control considering two main kinds of electric vehicles,grid to vehicle(G2V) and vehicle to grid(V2G) by the algorithm are also studied;particle swarm optimization(PSO) algorithm is used to solve the optimal results.Finally,simulation result on MATLAB shows the advantage of the algorithm at economic benefits,user experience,and load shifting effect.关键词
模型预测控制/解耦模型/柔性负荷/双向供电电动汽车(V2G)/等效电价指标/双目标优化Key words
model predictive control/decoupled model/flexible load/V2G/EEP/dual-objective optimization分类
信息技术与安全科学引用本文复制引用
潘世雄,刘东,李庆生,颜霞..考虑用户利益的柔性负荷优化控制算法[J].南方电网技术,2016,10(12):45-52,60,9.基金项目
国家高技术研究发展计划(863计划)项目(2014AA051902).Supported by the National High Technology Research and Development Program of China(863 Program)(2014AA051902). （863计划）
