配电网智能优化规划平台的算法研究与应用
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摘要
通过对配电网的优化规划,科学合理地确定变电站的容量、位置及供电范围,有利于减少系统跨区域交叉供电,提高系统管理和运行效率;配电网络结构的优化规划,可以大大提高系统的供电可靠性,也是提高系统投资效益的最有效途径,配电自动化的优化规划,不仅可以网损降低,提高经济效益,而且可以提高系统稳定运行能力,改善服务质量,取得良好的社会效益。本文选取配电网智能优化规划平台中的智能优化算法作为研究目标,将人工智能应用到配电网研究中,探索智能配电领域的新课题,并将研究成果应用到实际配电网络中。
1.在前言中通过文献综述回顾了传统优化算法基本步骤,分析了传统优化算法的局限性,对研究智能算法的必要性进行了阐述。
2.对智能规划平台中的变电站优化问题,提出了基于地理信息系统的文化算法(Geographic Culture algorithm, GCA)解决方案。在算法中加入了GIS功能,使GIS成为文化算法运算的重要基础。将本文算法嵌入到配电网智能优化规划平台中,实际可操作性强,规划人员不仅很容易可以很快得到一个直观的方案,还可以利用GIS工具对方案进行交互和干预。
3.对智能规划平台中的配电网架结构优化规划,本文提出了地理信息系统和改进的微分演化算法组成混合微分演化算法GDE(Geo-Differential Evolution,GDE)。GDE首先利用配电网络的地理特征,分阶段过滤明显不适合的线路,得到初步规划网络,随后利用DE算法收敛快速、鲁棒性强的特点,将其应用到优化计算中。为避免早熟,本文对传统DE算法进行了改进,利用解群转移策略在给定的条件下对解群进行分散处理以跳出局部最优点,得到全局最优解。
4.对智能规划平台中的无功优化算法,提出了基于改进的免疫遗传算法解决方案。通过加入免疫调解和转基因育种算子,本文算法实现群体收敛性和个体多样性间的动态平衡,全局收敛能力和收敛速度得到了提高。本文深入研究了县级配电网无功优化的特殊性,着重分析了在量测数据质量不高,点多面广且对实时性有要求的情况下进行县级配电网无功优化分析的策略。
5.对智能规划平台中的配电自动化规划,本文选取故障恢复中的开关优化方案作为研究目标,提出了多种群模糊微分演化算法(Fuzzy Differential Evolution,FDE)解决方案。本文分析了针对配电网故障恢复的多目标优化,只有Pareto最优解情况下的算法策略。在演化的过程中,设计模糊控制器控制演化参数F和Cr,使参数自适应,加快演化速度。6.在配电网智能优化规划平台中做了大量的工作。课题研究过程中,利用VC++ 6.0先后开发了平台中的各种智能算法软件,融合了GIS技术、MATLAB技术等混合编程技术,该平台已经投入了实际的工程应用,在现场取得了较好的效果。
By means of distribution network optimized planning platform, the planner could guarantee substation capacity, position and supply region reasonably, increase distribution network reliability, and increase system invest benefit at maximum efficiency. The paper takes distribution network intelligent optimized planning as topic,applies AI theory to distribution network, researches for new problems in distribution network intelligent control field and applies the research to practical network. 1. The paper proposes culture algorithm base on GIS (Geography Culture algorithm, GCA) to solve city distribution network substation location and capacity issue.The paper stresses highly on the initial work of substation intelligent planning, relying on GIS analytical tool,automatic anglicizing the substation optimized geographic constraint area, reduce of blind search process thus make optimization velocity rising.
2. The paper proposes a mixed algorithm GDE (Geo Differential Evolution, GDE) to proceed distribution network structural intelligent planning. The topology analysis technique on distribution network comprehensive planning and distribution network intelligent planning technology in GIS environment is discussed. To avoid premature,the tradition DE algorithm is improved.
3.The paper proposes improved immunity genetic algorithm and applies to countywide electric network Reactive Optimization. The algorithm improves the global convergence ability and convergence rate. The paper stresses on the Reactive Optimization software technique aim to countywide network system, that is, taking iec61970 CIM model as foundational constructs distributing network analytical topology model.
4.The paper proposes multi-group fuzzy differential evolution algorithm(Fuzzy Differential Evolution , FDE) and applies to distribution network fault restoration reorganization. The algorithm of distribution network fault restoration for multi-objective optimization with only pareto optimum solution is brought forward,In the processof evolution, guidance evolution parameter F and Cr of fuzzy controller is designed , which makes parameter adaptive, evolution efficient are improved.
5.The paper makes extensive efforts in distribution network intelligence optimization platform software programming. The soft wares have already been used in actual engineering practice.
1.在前言中通过文献综述回顾了传统优化算法基本步骤,分析了传统优化算法的局限性,对研究智能算法的必要性进行了阐述。
2.对智能规划平台中的变电站优化问题,提出了基于地理信息系统的文化算法(Geographic Culture algorithm, GCA)解决方案。在算法中加入了GIS功能,使GIS成为文化算法运算的重要基础。将本文算法嵌入到配电网智能优化规划平台中,实际可操作性强,规划人员不仅很容易可以很快得到一个直观的方案,还可以利用GIS工具对方案进行交互和干预。
3.对智能规划平台中的配电网架结构优化规划,本文提出了地理信息系统和改进的微分演化算法组成混合微分演化算法GDE(Geo-Differential Evolution,GDE)。GDE首先利用配电网络的地理特征,分阶段过滤明显不适合的线路,得到初步规划网络,随后利用DE算法收敛快速、鲁棒性强的特点,将其应用到优化计算中。为避免早熟,本文对传统DE算法进行了改进,利用解群转移策略在给定的条件下对解群进行分散处理以跳出局部最优点,得到全局最优解。
4.对智能规划平台中的无功优化算法,提出了基于改进的免疫遗传算法解决方案。通过加入免疫调解和转基因育种算子,本文算法实现群体收敛性和个体多样性间的动态平衡,全局收敛能力和收敛速度得到了提高。本文深入研究了县级配电网无功优化的特殊性,着重分析了在量测数据质量不高,点多面广且对实时性有要求的情况下进行县级配电网无功优化分析的策略。
5.对智能规划平台中的配电自动化规划,本文选取故障恢复中的开关优化方案作为研究目标,提出了多种群模糊微分演化算法(Fuzzy Differential Evolution,FDE)解决方案。本文分析了针对配电网故障恢复的多目标优化,只有Pareto最优解情况下的算法策略。在演化的过程中,设计模糊控制器控制演化参数F和Cr,使参数自适应,加快演化速度。6.在配电网智能优化规划平台中做了大量的工作。课题研究过程中,利用VC++ 6.0先后开发了平台中的各种智能算法软件,融合了GIS技术、MATLAB技术等混合编程技术,该平台已经投入了实际的工程应用,在现场取得了较好的效果。
By means of distribution network optimized planning platform, the planner could guarantee substation capacity, position and supply region reasonably, increase distribution network reliability, and increase system invest benefit at maximum efficiency. The paper takes distribution network intelligent optimized planning as topic,applies AI theory to distribution network, researches for new problems in distribution network intelligent control field and applies the research to practical network. 1. The paper proposes culture algorithm base on GIS (Geography Culture algorithm, GCA) to solve city distribution network substation location and capacity issue.The paper stresses highly on the initial work of substation intelligent planning, relying on GIS analytical tool,automatic anglicizing the substation optimized geographic constraint area, reduce of blind search process thus make optimization velocity rising.
2. The paper proposes a mixed algorithm GDE (Geo Differential Evolution, GDE) to proceed distribution network structural intelligent planning. The topology analysis technique on distribution network comprehensive planning and distribution network intelligent planning technology in GIS environment is discussed. To avoid premature,the tradition DE algorithm is improved.
3.The paper proposes improved immunity genetic algorithm and applies to countywide electric network Reactive Optimization. The algorithm improves the global convergence ability and convergence rate. The paper stresses on the Reactive Optimization software technique aim to countywide network system, that is, taking iec61970 CIM model as foundational constructs distributing network analytical topology model.
4.The paper proposes multi-group fuzzy differential evolution algorithm(Fuzzy Differential Evolution , FDE) and applies to distribution network fault restoration reorganization. The algorithm of distribution network fault restoration for multi-objective optimization with only pareto optimum solution is brought forward,In the processof evolution, guidance evolution parameter F and Cr of fuzzy controller is designed , which makes parameter adaptive, evolution efficient are improved.
5.The paper makes extensive efforts in distribution network intelligence optimization platform software programming. The soft wares have already been used in actual engineering practice.
引文
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