中国电机工程学报2017，Vol.37Issue(11)：3148-3161,14.DOI:10.13334/j.0258-8013.pcsee.160677
计及潮流约束的水火电力系统机组组合问题的分解-协调算法
A Decomposition-coordination Algorithm Applied to Hydro-thermal Unit Commitment Problems With Power Flow Constraints
摘要
Abstract
In the traditional research,unit commitment is typically modeled in a simplified form.However,this modeling usually comes at the cost of low computational accuracy and poor system security.This work presented a refined hydro-thermal unit commitment (HTUC) model that included AC power flow constraints and an accurate expression of hydro plants to overcome the above problem.Based on generalized Benders decomposition,this paper divided the HTUC problem into a master problem and a sub-problem,and the sub-problem was decomposed into T smaller-scale sub-problems further,where T is the number of time periods.The master problem applied mixed-integer linear programming method to solve hydro-thermal scheduling while the sub-problems applied nonlinear programming method to determine constrained power flow for each time period.The master problem and the sub-problems were coordinated by feasible cuts.With alternate iterations between them,the solution of the original problem was finally obtained.In order to confirm the validity of the developed approach,a numerical test was presented on the IEEE ll8-bus system with 46 thermal plants and 8 cascaded plants.The test results show that the proposed algorithm can obtain high quality solutions in a reasonable time.It provides a reference for solving large-scale unit commitment problems.关键词
水火电力系统/交流潮流约束/精确水电出力模型/机组组合/广义Benders分解/混合整数非线性规划Key words
hydro-thermal power system/AC power flow constraints/accurate output model of hydro plants/unit commitment/generalized Benders decomposition/mixed-integer nonlinear programming分类
信息技术与安全科学引用本文复制引用
汪超群,韦化,吴思缘..计及潮流约束的水火电力系统机组组合问题的分解-协调算法[J].中国电机工程学报,2017,37(11):3148-3161,14.基金项目
国家重点基础研究发展计划项目(973项目)(2013CB228205) （973项目）
国家自然科学基金项目(51667003).The National Basic Research Program of China (973 Program) (2013CB228205) （51667003）
Project Supported by National Natural Science Foundation of China (51667003). （51667003）
