基于多核集群并行计算框架的中长期梯级水电联合优化方法  

Medium and long-term cascade hydropower joint optimization method based on multi-core cluster parallel computing framework

作　　者：万筱钟 廖春梅 匡洪辉 郭少青 WAN Xiaozhong;LIAChunmei;KUANG Honghui;GUO Shaoqing(Northwest Division of State Grid Company,Xi'an 710000,China;Beijing Qingda Keyue Co.,Ltd.,Beijing 100084,China)

机构地区：[1]国家电网公司西北分部,西安710000 [2]北京清大科越股份有限公司,北京100084

出　　处：《自动化与仪器仪表》2019年第11期76-79,共4页Automation & Instrumentation

摘　　要：流域梯级水电站联合优化是提升水电站综合效益的重要方法。然而由于梯级水电复杂的运行特性,梯级水电联合运行成为电力系统调度优化中的一大难题。尤其是在中长期时间尺度下的梯级水电优化运行通常由于问题规模大、变量多等因素限制,求解效率低、求解时间长,不能满足实际工程需要。为此,以梯级水电效益最大化为目标,构建了中长期时间尺度下的梯级水电联合优化模型;通过分析该模型优化求解中存在的并行特征,利用MATLAB软件中内嵌的多核集群并行计算模块设计了中长期梯级水电联合优化的实施框架。最后基于某流域梯级水电实际数据构造算例,验证了所提出的求解算法在优化分析上的高效性。The joint optimization of cascade hydropower station is an important method to improve the comprehensive benefit of hydropower station.However,due to the complex operation characteristics of cascade hydropower,cascade hydropower joint operation has become a major problem in power system scheduling optimization.In particular,the optimal operation of cascade hydropower in the medium and long term time scale is often restricted by factors such as large scale and multiple variables,resulting in low efficiency and long time to solve.For this reason,aiming at maximizing the benefit of cascade hydropower,a medium and long-term cascade hydropower joint optimization model is built.By analyzing the parallel features of the model optimization solution,the implementation framework of medium and long-term cascade hydropower joint optimization is designed using the parallel computing module embedded in MATLAB software.Finally,based on the actual data of cascade hydropower station in a river basin,the effectiveness of the proposed algorithm in optimization analysis is verified.

关 键 词：梯级水电联合优化 多核集群并行计算 中长期 实施流程 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]