基于商业电力系统分析软件的智能计算平台设计及应用  

Development and application of smart computation platform based on commercial power system software package

作　　者：汪震[1] 甘德强[1] 宋晓喆[1] 辛焕海[1] 

机构地区：[1]浙江大学电气工程学院,浙江杭州310027

出　　处：《电力科学与技术学报》2011年第1期27-34,共8页Journal of Electric Power Science And Technology

基　　金：中国博士后科学基金(20090461354);清华大学电力系统国家重点实验室开放基金(SKLD09KM14)

摘　　要：设计并建立一个基于商业电力系统分析软件的智能计算平台,分别介绍软件设计、算法和应用3个方面的相关情况。在计算平台的软件设计方面,采用可扩展性、模块化及可复用的设计思想,特别是进化算法软件采用了plug-in算法和算子分离的设计思想,增加算法软件模块的灵活性和可扩展性。在算法研究方面,简要回顾暂态稳定约束优化问题(SOPF)的模型及求解SOPF问题遇到的挑战,描述一类特殊的SOPF问题--基于最小控制代价模型的低频减载(UFLS)参数优化问题,并提出应用进化计算方法求解UFLS优化问题的算法步骤.在应用研究中,采用智能计算平台中的DE算法解决一个实际系统的UFLS优化问题,初步展示利用智能计算平台开展科研工作的潜力.A smart computation platform based on commercial power system software package is designed and introduced in this paper,in which the aspects of software design,algorithm and application are mainly discussed.The software design ideology is characterized as extensibility,modularity and reusability.Especially,the plug-in idea in the Evolutionary Algorithm（EA） design eases the decoupling of EA and its operators,which makes it possible for the flexibility and extensibility of EA implementation.The SOPF problem and its challenges are also briefly reviewed.A UFLS relay design problem is modeled as a special SOPF problem and an EA-based approach is applied to solve the problem.Case studies based on the UFLS optimization problem in a real power system reveal the potential of the proposed smart computation platform.

关 键 词：电力系统计算 进化算法 暂态稳定约束优化 低频减载 PYTHON 

分 类 号：TM712[电气工程—电力系统及自动化] TM74