电网安全节能发电日前调度优化模型及算法  被引量:58

Optimal Model and Algorithm for Day-ahead Generation Scheduling of Transmission Grid Security Constrained Convention Dispatch

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作  者:陈之栩[1] 谢开[1] 张晶[1] 杨争林[2] 刘军[1] 汪鸿[1] 

机构地区:[1]华北电网有限公司电力调度通信中心,北京市100053 [2]国电南瑞科技股份有限公司,江苏省南京市210061

出  处:《电力系统自动化》2009年第1期10-13,98,共5页Automation of Electric Power Systems

摘  要:华北电网安全节能发电调度辅助决策系统中的日前调度模块实现了机组组合和安全约束经济调度两大功能,制定日发电计划既符合各种安全约束又满足各类辅助服务需求。采用同一个优化模型,通过修改输入信息实现节能发电调度、电量进度发电调度、成本调度、市场竞争等多种调度模式。引入violation和violation penalty weights两类参数,确保优化模型始终有解,满足工程实际应用的要求。采用同时可行性测试与优化计算相迭代的方法缩短了计算时间。日前调度模型为混合整数规划模型,采用分支定界法进行求解。为了精确校核日前调度结果,该系统开发了研究态全网络多时段安全校核功能,选择多个时间节点对日前调度结果进行精确的交流潮流校核,确保日前调度结果满足安全运行要求。The day-ahead generation scheduling module of North China Power Grid security constrained convention dispatch auxiliary decision-making system achieves two major functionalities, unit commitment and security constrained economic dispatch. The optimized result of unit dispatch schedule satisfies the security constraints and auxiliary service requirements. Based on the same optimisation model, different dispatch modes can be realized by different input data, such as the energysaving generation dispatch, generation scheduling dispatch, cost dispatch, and market competition/clearing dispatch. The violation and violation penalty weights are introduced to guarantee convergence and satisfy the actual engineering application requirements. The computation time is reduced by the iteration of the simultaneous feasibility test and optimisation computation. The optimisation model branch-and-bound algorithm is adopted network multi-timepoint security check requirements. Key words: security constrained unit branch-and-bound algorithm of day-ahead generation scheduling belongs to mixed-integer programming and the to solve it. To accurately check the day-ahead dispatch results, the study-state wholenetwork multi-timepoint security check function is developed to ensure the scheduling result meets the power system security requirements.

关 键 词:安全约束机组组合 安全约束经济调度 混合整数规划 分支定界法 

分 类 号:TM734[电气工程—电力系统及自动化]

 

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