摘要
需求响应是激发热力负荷灵活性以及促进新能源消纳的重要途径之一。针对传统需求侧管理未考虑异构热力负荷功率粒度和时间粒度可能造成调控功率偏差的问题,提出一种考虑用户多粒度用电属性的热力负荷协同优化调控方法。首先,揭示不同功率粒度或时间粒度热力负荷的协同响应机理,建立计及多粒度用电属性的热力负荷模型;其次,根据各热力负荷的粒度属性差异评估调控优先级,以需求响应引导热力负荷主动参与负荷调控,达到多粒度热力负荷协同互补的目的;最后,以系统净交换功率惩罚成本、单位碳排放社会成本、购电成本、不同优先级用户的经济补贴成本以及用户满意度降低惩罚成本为优化目标,仿真分析多粒度热力负荷参与地区电网电力电量平衡调控,以实现地区电网的灵活性提升。
Demand response is one of the important ways to stimulate the flexibility of thermal load and promote the accommodation of renewable energy.Aiming at the problem that the power granularity and time granularity of heterogeneous thermal loads may not be considered in the traditional demand-side management,which may cause power deviations in the dispatch and control,a coordinated optimal dispatch and control method for the thermal load considering the multi-granularity attributes of power consumption is proposed.Firstly,the coordinated response mechanism of thermal loads with different power granularity or time granularity is revealed,and the thermal load model considering the multi-granularity attributes of power consumption is established.Secondly,the priorities of dispatch and control are evaluated according to the granularity attribute difference of each thermal load,and the demand response is used to guide the thermal load to actively participate in the load adjustment,so as to achieve the purpose of coordinated complementarity of multi-granularity thermal load.Finally,by taking the penalty cost of the net exchange power of the system,the social cost of carbon emission per unit,the cost of electricity purchase,the economic subsidy cost of users with different priorities,and the penalty cost of user satisfaction reduction as the optimization objectives,the participation of multi-granularity thermal load in the balanced dispatch and control of electricity of regional power grid is simulated and analyzed to improve the flexibility of the regional power grid.
作者
庞思勉
郑子萱
肖先勇
张姝
罗凡
李学军
PANG Simian;ZHENG Zixuan;XIAO Xianyong;ZHANG Shu;LUO Fan;LI Xuejun(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;State Grid Gansu Electric Power Company,Lanzhou 730030,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2022年第16期103-112,共10页
Automation of Electric Power Systems
基金
国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U2166209)
国家电网公司科技项目(52273120004R)。
关键词
热力负荷
多粒度
需求侧响应
新能源消纳
负荷调控
thermal load
multi-granularity
demand-side response
renewable energy accommodation
load dispatch and control
