摘要
针对大规模风电并网消纳的难题,该文提出一种计及需求响应虚拟电厂的风电并网系统分布式日前经济调度优化模型。首先,将需求侧负荷以需求响应虚拟电厂形式参与系统优化调度,通过负荷转移以实现削峰填谷,促进风电消纳;结合电网中不同电力公司所辖电网具有相互独立且互联的特点,基于电网分区,采用交替方向乘子法(alternating direction method of multipliers,ADMM)构建分布式优化调度模型并提出多区域协同优化的迭代计算框架;然后,在求解该分布式优化调度模型过程中,每次优化迭代时相邻区域之间仅交换边界节点相角信息即可实现各分区系统以运行成本最低为优化目标的分布式求解,在降低区域间协调运行的信息量,保证各区域独立运行的灵活性和信息私密性的基础上,最终实现电网经济调度和风电消纳的全局最优。最后,通过对6节点测试系统和IEEE-118节点测试系统的算例分析,验证了所提模型的可行性和算法的有效性。
To solve the problem of large-scale wind power integration,this paper proposed a decentralized day-ahead optimal dispatching model for wind power integrated power system with virtual power plants(VPP)based on demand response(DR).Firstly,the demand-side load was considered to participate in optimal dispatching of power system in the form of VPP based on DR,and the load shifting was implemented to achieve peak-valley regulation to promote wind power integration.Utilized to partition the power system,the alternating direction method of multipliers(ADMM)method was adopted to construct a decentralized optimal dispatching model and iterative computing framework of regional collaborative optimization,which is suitable for independent and interconnected multi-region power grid.Furthermore,in the process of solving the decentralized optimal dispatching model,only the phase angle information of the boundary buses was exchanged between neighboring regions in each iteration,and the decentralized solving of the model with the objective function to minimize the operation cost in each partition system can be realized.The overall optimization of operation economy and wind power integration is finally achieved,and the amount of exchanged information is reduced on the basis of ensuring the flexibility and privacy of information in each region.Finally,numerical results of 6-bus and IEEE-118 bus test systems verify the rationality of the proposed model and the availability of the algorithm.
作者
陈厚合
王子璇
张儒峰
姜涛
李雪
李国庆
CHEN Houhe;WANG Zixuan;ZHANG Rufeng;JIANG Tao;LI Xue;LI Guoqing(Department of Electrical Engineering,Northeast Electric Power University,Jilin 132000,Jilin Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2019年第9期2615-2625,共11页
Proceedings of the CSEE
基金
国家自然科学基金项目(51677022
51877033)
国家重点研发计划(2017YFB0903400)
吉林省综合能源系统创新团队(20180519015JH)~~
关键词
风电并网
需求响应虚拟电厂
分布式优化调度
交替方向乘子法
信息交换
wind power integration
demand response based virtual power plant
decentralized optimal dispatching
ADMM
information exchange
