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作 者:丁冬[1] 李晖[1] 王立永[1] 吴红林 丁红 魏玲[3] Ding Dong;Li Hui;Wang Liyong;Wu Honglin;Ding Hong;Wei Ling(State Grid Beijing Electric Power Company,Beijing 100031,China;State Grid Beijing Yanqing Electric Power Supply Company,Beijing 102100,China;Department of Electrical Engineering,Tsinghua University,Beijing 100084,China)
机构地区:[1]国网北京市电力公司,北京100031 [2]国网北京市电力公司延庆供电公司,北京102100 [3]清华大学电机系,北京100084
出 处:《可再生能源》2021年第5期694-698,共5页Renewable Energy Resources
基 金:国家电网公司总部科技项目(SGTJDK00DWJS1800014)。
摘 要:电力系统的备用容量对保证系统的安全稳定具有重要意义。传统的备用容量决策方法存在覆盖不全、运行效率低等问题,难以满足大型系统实时备用决策的需要。文章提出了一种基于鲁棒优化原理的动态发电调度备用决策方法,将发电机的可用性作为备用需求在线分配决策问题的不确定参数,形成在不确定参数变化条件下的备用需求鲁棒双层决策模型,并应用线性规划问题的对偶原理,将双层优化问题转化为传统的二次规划问题进行求解。该方法与传统的备用约束方法相比,能够根据预想事故的需求确定合适的备用容量,且给定的备用分配方案考虑了断面的负载水平,能够保证事故情况下的备用可用性;同时,与故障约束方法相比,不依赖于故障集的规模,能够保证在线调度过程的实时性要求。在IEEE RTS系统上的算例结果证明了所提方法的有效性。In this paper,a dynamic generation scheduling standby decision-making method based on robust optimization principle is proposed.The availability of generator is regarded as the uncertain parameter of the decision-making problem of on-line distribution of reserve demand,forming a robust double-layer decision-making model of reserve demand under the condition of the change of uncertain parameter.Applying the dual principle of linear programming problem,the double-layer optimization problem can be transformed into the traditional quadratic rule to solve the problem.Compared with the traditional reserve constraint approach,this method can determine the appropriate reserve capacity according to the expected accident demand,and the given reserve allocation scheme considers the load level of the section,which can determine the reserve availability in the event of an accident.At the same time,compared with the fault constraint approach,this method can determine the real-time requirements of the online scheduling process and does not depend on the size of the fault set,.The results of an example of IEEE RTS system show the effectiveness of this method.
关 键 词:电力系统 不确定性 鲁棒备用决策 双层优化 预想事故
分 类 号:TK81[动力工程及工程热物理—流体机械及工程] TM74[电气工程—电力系统及自动化]
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