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作 者:李佩杰[1] 张瑜[1] 白晓清[1] 陈明媛 LI Peijie;ZHANG Yu;BAI Xiaoqing;CHEN Mingyuan(Key Laboratory of Guangxi Electric Power System Optimization and Energy-Saving Technology,Guangxi University,Nanning 530004,China;Power Dispatching and Control Center of Guangxi Power Grid Co.,Ltd.,Nanning 530012,China)
机构地区:[1]广西电力系统最优化与节能技术重点实验室(广西大学),南宁530004 [2]广西电网有限责任公司电力调度控制中心,南宁530012
出 处:《南方电网技术》2024年第8期80-88,98,共10页Southern Power System Technology
基 金:国家自然科学基金资助项目(52267006);广西创新驱动发展专项资金资助项目(桂科AA19254034)。
摘 要:大规模安全约束机组组合(security constrained unit commitment,SCUC)问题的混合整数线性规划(mixed integer linear programming,MILP)模型因其高维、非凸的特点导致求解困难,尤其在考虑故障态安全约束后模型规模骤增,MILP算法常遇到收敛间隙下降瓶颈问题。为满足现货市场出清对SCUC问题求解时间的要求,提出了基于热启动的快速求解方法,从待求模型的一个可行解出发,根据节点边际电价和机组收益分析进行整数变量固定,同时削减无约束力的安全约束,以缩减模型规模,加快收敛进程。仿真结果表明:所提方法能够大幅缩减SCUC模型规模,尤其对于考虑故障态安全约束的大规模SCUC问题,能有效克服收敛间隙下降瓶颈问题,求解效率提高特别显著。The mixed integer linear programming(MILP)model for large-scale security constrained unit commitment(SCUC)problem is difficult to solve because of its high-dimensional and non-convex characteristics,especially when considering postcontingency security constraints,the scale of model increases rapidly,and MILP algorithm often encounters the bottleneck of decreas⁃ing convergence gap.In order to meet the requirements in spot market clearing process,a fast solving method based on warm-start is proposed to improve the solve speed of SCUC.To reduce the scale of model and speed up the convergence process,the method starts with a feasible solution,integer variables are fixed based on locational marginal price and unit benefit analysis,also the non-binding security constraints are reduced.Simulation results show that the proposed method can greatly reduce the scale of SCUC model.Especially for the large-scale SCUC problem with post-contingency security constraints,the method can effectively overcome the bottleneck of decreasing convergence gap and significantly improve the solution efficiency.
关 键 词:安全约束机组组合 故障态安全约束 整数变量固定 约束削减 热启动
分 类 号:TM732[电气工程—电力系统及自动化]
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