摘要
以分布式风电和光伏为代表的间歇性分布式电源IDG(Intermittent Distributed Generator)得到了快速发展。考虑风速、光照强度和负荷之间的时序相关性,以年碳排放量最小为目标建立了IDG在主动配电网中的多场景优化配置模型。该模型能够计及调节有载调压变压器抽头、切除IDG出力和调节IDG功率因数3种主动管理措施。利用K-means聚类法对场景数量进行缩减并得到每个场景发生的概率。提出采用自适应遗传算法和原对偶内点法相结合的混合求解策略对模型进行求解。IEEE 33节点主动配电网算例仿真结果验证了所提模型与方法的有效性。
Since the IDG（Intermittent Distributed Generator）,mainly the distributed wind farms and photo- voltaic fields,is rapidly developed,a multi-scenario optimal IDGs allocation model with the minimum annual carbon emission as its objective is built for the active distribution network,which considers the sequential correlation among wind speed,illumination intensity and load ,as well as three active management measures：transformer OLTC（On-Load Tap Changer） adjustment,fDG output power shedding and IDG power factor regulation. The K-means clustering method is adopted to reduce the quantity of scenarios and obtain the probability of each scenario. The adaptive genetic algorithm and the primal-dual interior point method are combined to solve the model. The simulative results of IEEE 33-bus active distribution network verify the effectiveness of the proposed model and method.
出处
《电力自动化设备》
EI
CSCD
北大核心
2015年第11期45-51,共7页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(51261130473)
国家高技术研究发展计划(863计划)项目(2014AA051901)~~
关键词
主动配电网:间歇性分布式电源
优化配置
主动管理措施
K-means聚类法
混合求解策略
active management measure
distribution network
intermittent distributed generator
optimal allocation
active K-means clustering method
hybrid solving strategy
