检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:黑田健 马郡英树 横山隆一[1] 市村富保 松藤优一
机构地区:[1]早稻田大学环境与能源工程大学院 [2]富士通株式会社智慧城市推进本部
出 处:《电网技术》2012年第12期1-10,共10页Power System Technology
摘 要:由于分布式电源能够有效降低配电网中功率的损耗,分布式电源最优配置问题将会成为未来实现电力系统低碳化的关键技术之一。但由于该问题属于非线性离散最优化问题,一般的求解方法较难求得其最优解。提出一种基于枚举法的精确求解方法,通过约束条件大大减少了枚举的组合数,克服了枚举法易出现组合爆炸的缺点,成功解决了配电网分布式电源最优配置的求解问题。首先,给出分布式电源最优配置问题的数学模型,建立了优化目标和约束函数;其次,以6节点实验系统为例,阐述了该方法的详细步骤,并通过仿真结果,从原理上证明了该方法能够有效运用于该问题的求解;然后,将该方法运用于含有126个节点的实际配电网系统模型,并对电网损耗下降情况进行了计算分析。结果显示,该方法能够在短时间内计算得到一个分布式电源最优配置问题的解,同时保证该解在网损降低率上的误差与精确解相比不超过10%,显示了该方法在工程实用中的快速性和有效性。An optimal allocation of dispersed generations (DGs) is one of the most promising approaches for engineering innovation in the near future to realize low-carbonate power system because installation of DGs with optimal location and sizing can reduce active power loss in power systems dramatically. The optimal allocation of DG is required to solve a non-linearly discrete optimization problem and generally approximation solution methods have been proposed due to its intractability. This paper proposes the approach based on an exact solution method using the enumerative method to solve such difficult optimal DG allocation problems. Although the enumerative method is simple, versatile and easy to use, it has the critical challenge which combinatorial explosion tends to occur. In order to solve this challenge, this paper proposes a new approach which reduces the number of combination by application of constraints. Also, the proposed approach is applied to the real size distribution system model which has 126 buses, and evaluated for active power loss reduction characteristics by DGs installation and calculation speed considering actual use.
关 键 词:分布式电源 最优配置 功率损耗最小化 精确 解法 枚举法
分 类 号:TM7[电气工程—电力系统及自动化]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.58