摘要
智能电网背景下,具备分布式光伏出力和自动需求响应要素的智能楼宇联合运行可以促进光伏发电的就地消纳,提高其用电经济性。因此,构建了以配有储能系统的智能楼宇集群运营商(smart building cluster operator,SBCO)为中心的能量交易框架,并提出一种考虑分时电价差异性和基于主从博弈的能量共享方法。首先,考虑到不同负荷类型楼宇用户存在分时电价差异性,且智能楼宇的实时需求响应会促进集群内部的能量共享,建立了SBCO的日前储能调度模型。其次,计及SBCO和楼宇用户具有不同逐利特性及用户的信息私密性和对用电舒适度要求,提出了一种基于主从博弈的实时需求响应模型以实现两方利益制约平衡和联合优化。最后,通过实际算例证实了所提方法可以较好地提升SBCO和智能楼宇的经济效益,且在促进分布式光伏就地消纳和优化智能楼宇集群净负荷特性方面具有优势。
In the context of a smart grid,the joint operation of multiple smart buildings with distributed photovoltaic outputs and automatic demand response elements will promote the local consumption of the photovoltaic power generation and improve its electricity economy.Therefore,this paper constructs an energy trading framework centered on an smart building cluster operator(SBCO)equipped with energy storage,and proposes an energy sharing method that considers the differences in time-of-use prices and is based on the master-slave game.First of all,considering that there are differences among users of different load types under the time-of-use electricity prices and that the real-time demand response of the smart buildings will promote energy sharing within the building cluster,a day-ahead energy storage scheduling model of the SBCO is established.Secondly,taking into account the different profit-seeking characteristics of the SBCO and the building users,as well as the user's information privacy and the comfort requirements for electricity use,a real-time demand response model based on the master-slave game is proposed to achieve the balance and joint optimization of the interests of the two parties.Finally,through the analysis of actual examples,it is confirmed that the method in this paper can improve the economic benefits of both the SBCO and the smart buildings,and has advantages in the on-site consumption of photovoltaic energy and the optimization of the net load characteristics of the smart building clusters.
作者
胡洁
李培强
林仕满
丁俊
HU Jie;LI Peiqiang;LIN Shiman;DING Jun(School of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan Province,China;Changsha Power Supply Branch,State Grid Hunan Electric Power Company,Changsha 410329,Hunan Province,China)
出处
《电网技术》
EI
CSCD
北大核心
2021年第12期4738-4748,共11页
Power System Technology
基金
国家自然科学基金项目(51677059)
国网长沙供电公司供电服务提升策略技术研究项目(5216A120008D)。
