配电网电能质量监测点优化选址的研究
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摘要
国民经济突飞猛进的发展,极大地促进了我国电力系统的建设事业,随着电力系统规模的日益壮大,实现电网全面可靠、动态实时的监控对保证电力系统稳定运行和防御安全具有十分重要的意义。目前主体的监测手段集中于稳态和局部监控阶段,无法完成整个电网的实时动态同步量测工作,对于系统的运行调度来说缺少有效的监测管理平台。本课题着重研究量测点的优化选址问题,即通过一定的优化算法实现电能质量量测点的优化配置,为构建完善的电力系统广域同步在线量测体系奠定基础,利于加强对全网的动态监测和分析能力。
本文综述了当前量测点优化配置的主要研究方法,在此基础之上,根据我国现有的经济实力、技术难度等现场条件,通过深入分析提出了优化配置的两大层次,即不给定PMU配置数量和给定PMU配置数量两种情况下的配置优化思路,并建立了两大层次各自相应的配置优化数学模型,提出了将FP-DC策略与改进自适应遗传MAGA算法相结合的FPDC-MAGA算法,用以求解优化问题的数学模型。文中还提出了全局临界配置、欠配置和过配置的概念。
论文重点研究了两大层次的量测点配置优化算法,针对第一层次的优化配置,阐述了有关的数学理论基础以及量测点的配置原则,基于数学模型和FPDC-MAGA算法,给出了不给定PMU配置数量情况下的优化配置算法和流程图;针对第二层次的优化配置,分析了配置最优化的判定依据,以全局临界配置为参考,提出了分别按照欠配置和过配置两个方面来研究给定PMU配置数量情况下的优化配置问题,同时,分别探讨了二者的优化算法和对应的流程图。
以IEEE37节点系统为例,根据本文提出的量测点优化配置算法流程,通过编写算法程序分别验证了两大层次的优化算法有效性,对程序运行所得结果进行分析对比,来进一步评估优化算法的可行性。
The rapid development of national economy has greatly promoted the construction cause of power system in our country. With the increasing grandness of power system scale, it’s very significant to realize comprehensive, reliable, dynamic and real-time monitoring of power grid to ensure the stability and security of power system. At present, the subjective monitoring means, with a view to steady and partial supervision, are unable to perform synchronous measurement work of the whole power grid, so there is lack of effective monitoring and management platform for operation dispatching of system. This paper emphatically studies optimal configuring of power quality monitors, which implements optimum number and location of monitors by certain optimization algorithm, in order to establish a good foundation for wide area online measurement system.
The main research methods of optimal allocation of monitors are summarized in this paper. On the basis of this, according to practical conditions of our economic level and technical difficulty, two hierarchy of optimal configuration is first proposed through deep analysis, including no given and given configuration quantity of PMU, of which optimization mathematical models are presented in this paper. A FPDC-MAGA algorithm used to solve mathematical models is proposed, which combines FPDC strategy and modified adapted genetic algorithm. And concept of global critical configuration, less configuration and over configuration is first proposed in this paper.
Optimization algorithm of each hierarchical configuration is analyzed mainly in this dissertation. For the first-hierarchy optimal configuration, the related mathematical theories and configuration principles are described. Based on mathematical model and FPDC-MAGA algorithm, the optimization configuration algorithm and corresponding flow chart without given installation quantity of PMU are shown in this paper. For the second-hierarchy optimal configuration, the judging basis of optimum configuration is analyzed, and referring to global critical configuration, this paper studies the optimization configuration with given installation quantity of PMU from two aspects such as less-configuration and over-configuration.
Take the IEEE 37-node system as the example, in the light of optimal configuration algorithm flow of power quality monitors as proposed, this article has respectively confirmed the effectiveness of two hierarchical optimization algorithms through compile program, analyzed and compared the results obtained by program operation, in order to further assess the feasibility of optimization algorithm.
本文综述了当前量测点优化配置的主要研究方法,在此基础之上,根据我国现有的经济实力、技术难度等现场条件,通过深入分析提出了优化配置的两大层次,即不给定PMU配置数量和给定PMU配置数量两种情况下的配置优化思路,并建立了两大层次各自相应的配置优化数学模型,提出了将FP-DC策略与改进自适应遗传MAGA算法相结合的FPDC-MAGA算法,用以求解优化问题的数学模型。文中还提出了全局临界配置、欠配置和过配置的概念。
论文重点研究了两大层次的量测点配置优化算法,针对第一层次的优化配置,阐述了有关的数学理论基础以及量测点的配置原则,基于数学模型和FPDC-MAGA算法,给出了不给定PMU配置数量情况下的优化配置算法和流程图;针对第二层次的优化配置,分析了配置最优化的判定依据,以全局临界配置为参考,提出了分别按照欠配置和过配置两个方面来研究给定PMU配置数量情况下的优化配置问题,同时,分别探讨了二者的优化算法和对应的流程图。
以IEEE37节点系统为例,根据本文提出的量测点优化配置算法流程,通过编写算法程序分别验证了两大层次的优化算法有效性,对程序运行所得结果进行分析对比,来进一步评估优化算法的可行性。
The rapid development of national economy has greatly promoted the construction cause of power system in our country. With the increasing grandness of power system scale, it’s very significant to realize comprehensive, reliable, dynamic and real-time monitoring of power grid to ensure the stability and security of power system. At present, the subjective monitoring means, with a view to steady and partial supervision, are unable to perform synchronous measurement work of the whole power grid, so there is lack of effective monitoring and management platform for operation dispatching of system. This paper emphatically studies optimal configuring of power quality monitors, which implements optimum number and location of monitors by certain optimization algorithm, in order to establish a good foundation for wide area online measurement system.
The main research methods of optimal allocation of monitors are summarized in this paper. On the basis of this, according to practical conditions of our economic level and technical difficulty, two hierarchy of optimal configuration is first proposed through deep analysis, including no given and given configuration quantity of PMU, of which optimization mathematical models are presented in this paper. A FPDC-MAGA algorithm used to solve mathematical models is proposed, which combines FPDC strategy and modified adapted genetic algorithm. And concept of global critical configuration, less configuration and over configuration is first proposed in this paper.
Optimization algorithm of each hierarchical configuration is analyzed mainly in this dissertation. For the first-hierarchy optimal configuration, the related mathematical theories and configuration principles are described. Based on mathematical model and FPDC-MAGA algorithm, the optimization configuration algorithm and corresponding flow chart without given installation quantity of PMU are shown in this paper. For the second-hierarchy optimal configuration, the judging basis of optimum configuration is analyzed, and referring to global critical configuration, this paper studies the optimization configuration with given installation quantity of PMU from two aspects such as less-configuration and over-configuration.
Take the IEEE 37-node system as the example, in the light of optimal configuration algorithm flow of power quality monitors as proposed, this article has respectively confirmed the effectiveness of two hierarchical optimization algorithms through compile program, analyzed and compared the results obtained by program operation, in order to further assess the feasibility of optimization algorithm.
引文
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