刘方;张粒子;蒋燕;蔡华祥;李秀峰;吴洋;祁鑫;

• 1:华北电力大学电气与电子工程学院
• 2:云南电力调度控制中心
• 3:昆明电力交易中心有限责任公司
• 4:国网宁夏电力公司调度控制中心

摘要(Abstract)：

电力市场环境下,为降低梯级水电站检修计划对运营收益的影响,建立了中长期调度和检修计划双层优化模型。中长期调度为外层优化,根据径流和价格预测进行决策,应用遗传算法优化各时段梯级水电站出力,搜寻最优效益空间。检修计划为内层优化,重点考虑了梯级上、下游水电站水力、电力耦合关系对检修计划的影响,以满足实际运行需求;以中长期调度优化中间结果为边界条件,以检修损失最小为优化目标,包括检修收益损失和停运风险损失,并将检修损失与中长期发电收益归并为总收益,作为遗传算法适应度函数,从而实现中长期发电计划和检修计划的联合优化。最后,以某"1库3梯级"水电系统为例进行仿真分析,结果表明:所建双层优化模型结构清晰,实用性较强。

关键词(KeyWords)： 梯级水电站;中长期调度;检修计划;双层优化;水力电力耦合关系

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51277071);; 教育部中央高校基本科研业务费专项资金资助项目(2017XS033);; 国家能源局科研项目(西南水电智能调度及合理消纳机制研究);; 国家电网公司科技项目(DZB11201702968)~~

作者(Author): 刘方;张粒子;蒋燕;蔡华祥;李秀峰;吴洋;祁鑫;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.2180

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