吴昊,许跃进,殷德聪,杨建
WU Hao,XU Yuejin,YIN Decong,YANG Jian

• 1:国网浙江省电力公司嘉兴供电公司
• 2:中国农业大学信息与电气工程学院

摘要(Abstract)：

以DG接入配电网配置方案为研究对象,考虑包括风速、温度和光照强度在内的环境因素,基于配电网所处环境的历史气象数据,通过建立DG的工程计算模型,分析了DG出力四季综合日时段变化特性,得出由DG出力四季综合日时段变化确定的96时段场景。为了得到光伏和风力式DG在配电网中的优化配置方案,以配置DG后网损下降率最大为目标函数,引入免疫接种和选择淘汰更新策略对粒子群算法进行改进,对所建模型寻优求解。以IEEE33节点配电系统为算例,得出了科学合理的DG定容定址方案,验证了模型及算法的有效性,同时与不考虑配电网环境的DG规划结果相比较,体现了DG规划中考虑配电网环境因素的必要性。
Scheme for integration of distributed generation(DG) into distribution networks is taken as research object in this paper. By considering environmental factors such as wind speed, temperature and illumination intensity, alternation characteristics of DG output in daytime of each season are analyzed by establishment of DG calculation model to conclude 96 time scenes in accordance to historical meteorological data of the distribution networks. In order to obtain optimized configuration schemes for photovoltaic and wind power generation in distribution networks, maximum power loss in the distribution networks is taken as objective function to improve particle swarm optimization by introduction of immunization and selection of elimination and update to optimize the model. By taking IEEE33 node distribution system as an example, a scientific and reasonable scheme of DG capacity and location is determined to validate effectiveness of the model and algorithm; necessity of DG planning in consideration of environmental factors is reflected.

关键词(KeyWords)： 分布式电源;气象因素;优化配置;四季综合日变化;改进粒子群算法
distributed generation;meteorological factor;optimized allocation;four seasons diurnal variation in four seasons;improved particle swarm optimization

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 吴昊,许跃进,殷德聪,杨建
WU Hao,XU Yuejin,YIN Decong,YANG Jian

DOI: 10.19585/j.zjdl.2015.12.001

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