中国电机工程学报Issue(28)：25-33,9.
基于2层规划的间歇性分布式电源及无功补偿综合优化配置
Comprehensive Optimal Allocation of Intermittent Distributed Generation and Reactive Power Compensation Based on Bilevel Planning
摘要
Abstract
The optimal allocation of current distributed generations (DG) such as distributed wind generation (DWG) and photovoltaic (PV) is usually single-object oriented, as a result, it is hard to reflect overall benefits of intermittent DGs`optimal allocation. And it is also inappropriate to use fixed variables and constraints to handle the uncertainty and fluctuation of DGs` power output. Aiming to solve the problems, based on the calculation of probabilistic power flow, a bilevel optimal allocation model was established with opportunity-constrained planning method to carry out comprehensive optimal allocation of intermittent DGs and compensation capacitors. And genetic algorithm with elitist strategy was used for the optimal solution. Results of the example demonstrated that optimized operational benefit of compensation capacitors would affect the optimal allocation of DGs and compensation capacitors, and it would be remarkably influenced by compensation capacitors’ capacity, maximum daily allowable number of switching operations, seasonal change of the expectation of DGs’ output and load power. The optimal scheme of the bilevel planning model considers planning economic benefits of compensation capacitors and DGs, and the optimized operational benefit of compensation capacitors while improving the system voltage quality, thus achieving comprehensive optima of economic benefit and voltage quality. The results of case studies verified the validity and rationality of the model.关键词
分布式电源/2层规划/补偿电容/随机潮流/机会约束规划Key words
distributed generation/bilevel planning/compensation capacitor/probabilistic power flow/chance constrained planning分类
信息技术与安全科学引用本文复制引用
郭金明,李欣然,邓威,何春光,刘卫健..基于2层规划的间歇性分布式电源及无功补偿综合优化配置[J].中国电机工程学报,2013,(28):25-33,9.基金项目
国家重点基础研究发展计划项目(973计划)(2012CB 215100)；国家自然科学基金项目(50977023)。Project Supported by the National Basic Research Program of China(973 Program)(2012CB215100) （973计划）
Project Supported by National Natural Science Foundation of China (50977023) （50977023）
