电网技术2017，Vol.41Issue(1)：58-66,9.DOI:10.13335/j.1000-3673.pst.2016.0210
基于连续状态变量约束的微网虚拟储能系统最优平抑控制策略
Optimal Smoothing Control Strategy of Virtual Energy Storage System in Microgrid Based on Continuous State Constraints
摘要
Abstract
Considering the interactive characteristics of "source-load" in city park microgrid, through centralized control of large scale air conditioners in microgrid, load curve can be adjusted to establish a "virtual storage" effect based on interactive features of“storage-load” in city park microgrid. Considering coordinated operation of“virtual storage” and storage battery, a strategy is built to suppress power fluctuation in tie-lines in microgrid based on continuous state constraint-based optimal control. There are three parts in optimal control model: 1) state space equation describing the system; 2) VSOC (virtual state of charge) based on power and equality/inequality constraints of“virtual storage” and storage battery; 3) objective function expressing optimal control performance. Using optimal control algorithm makes tie-line power of microgrid match reference value. At last, this paper discusses influence of renewable energy penetration and battery capacity on optimal control results with sensitivity analysis. Results show that optimal control of the battery and“virtual energy storage” solution can realize trace reference target accurately with optimal allocation of storage response amount, guarantee reasonable state of charge of battery,guarantee comfortability of air conditioner and maintain positivity of attending response of users.关键词
储能电池/需求响应/虚拟储能/最优控制Key words
energy storage battery/demand response/virtual energy storage/optimal control分类
信息技术与安全科学引用本文复制引用
陈沼宇,王丹,贾宏杰,王伟亮,郭炳庆,屈博,邓帅..基于连续状态变量约束的微网虚拟储能系统最优平抑控制策略[J].电网技术,2017,41(1):58-66,9.基金项目
国家高技术研究发展计划(863计划)资助项目(2015AA050403)；国家自然科学基金资助项(51377117,51407125,51361135704)；国家社科基金重大项目(12&ZD208)；国家电网公司总部科技项目(KJ16-1-42)；山东省青岛市创新领军人才项目(15-10-3-15-(43)-zch)。 The National High Technology Research and Development Program (863 Program) of China (2015AA050403) （863计划）
National Natural Science Foundation of China (51377117,51407125,51361135704) （51377117,51407125,51361135704）
National Social Science Foundation of China under Grant (12&ZD208) （12&ZD208）
