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计及分布式电源与可平移负荷的变电站优化规划

李振坤 岳美 胡荣 符杨

中国电机工程学报2016,Vol.36Issue(18):4883-4893,11.
中国电机工程学报2016,Vol.36Issue(18):4883-4893,11.DOI:10.13334/j.0258-8013.pcsee.151732

计及分布式电源与可平移负荷的变电站优化规划

Optimal Planning of Substation Considering Distributed Generation and Shiftable Loads

李振坤 1岳美 2胡荣 1符杨1

作者信息

  • 1. 上海电力学院电气工程学院,上海市 杨浦区 200090
  • 2. 国网山东省电力公司日照供电公司,山东省 日照市 276826
  • 折叠

摘要

Abstract

ABSTRACT:The random fluctuation of distributed generation (DG) output and the enhancement of the interaction between the grid and users cause the traditional substation planning based on maximum operating conditions cannot meet the demands of smart grid development. To solve the problem, the time series model of substation planning was founded based on load and DG output time series. In the model, the fluctuation and geographic distribution of DG as well as the balance of DG penetration of different substations were fully taken into account. Furthermore, the synthetic load characteristic of substation was studied based on the load and DG located in its service area. Then a load management strategy was proposed according to the load capability of different load types. And alternate iterative genetic algorithm (LA-GA), which integrated alternate location and allocation (LA) with genetic algorithm (GA) of adaptive adjusting search range, was put forward to solve the time series model of substation planning. Finally, the model and the proposed algorithm are tested by a realistic planning project to verify its efficiency and feasibility.

关键词

变电站规划/时序模型/分布式电源/可平移负荷/DG渗透率平衡/交替迭代遗传算法

Key words

substation planning/time series model/distributed generation/shiftable load/balance of distributed generation (DG) penetration/alternate iterative genetic algorithm

分类

信息技术与安全科学

引用本文复制引用

李振坤,岳美,胡荣,符杨..计及分布式电源与可平移负荷的变电站优化规划[J].中国电机工程学报,2016,36(18):4883-4893,11.

基金项目

国家自然科学基金项目(51407113);上海绿色能源并网工程技术研究中心项目(13DZ2251900)。Project Supported by National Natural Science Foundation of China (51407113) (51407113)

Shanghai Engineering Research Center of Green Energy Grid-Connected Technology (13DZ2251900) (13DZ2251900)

中国电机工程学报

OA北大核心CSCDCSTPCD

0258-8013

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