摘要
充分挖掘需求侧资源的可调度潜力可以为电力系统调度提供可靠的数据支持。然而,需求侧资源的可调度潜力与用户内部心理因素、外部环境因素和电网运行工况密切相关,需要对其进行详细的建模分析。以居民用电负荷中占比较重的空调负荷和电动汽车作为研究对象,首先,从用户舒适度和物理层面建立数学模型,充分挖掘需求侧柔性负荷的可调度潜力。其次,在可调度潜力的基础上,采用负荷聚合商和居民用户签订协议的直接负荷控制模式,以负荷聚合商的利益最大化为目标函数,利用非合作博弈理论解决了各聚合商之间的最优投标决策问题。仿真算例验证了该模型不仅可以激励需求侧柔性负荷资源积极参与电力市场调控,实现各方的经济利益最大化,也可以有效减小负荷需求峰谷差,缓解电网供需平衡压力。
Fully exploiting the schedulable potential of demand-side resources can provide reliable data support for power system scheduling.However,the schedulable potential of demand-side resources is closely related to user’s internal psychological factors,external environmental factors and power grid operating conditions.So it needs to be modeled and analyzed in detail.The air conditioning load and electric vehicle,which account for the largest part in the residential electricity load,are taken as the research objects.Firstly,a mathematical model was established from the user comfort and physical level to fully tap the scheduling potential of demand-side resources.Secondly,on the basis of schedulable potential,we adopted the direct load control mode in which load aggregators and residents sign an agreement,and took the maximization of the benefits of load aggregators as the objective function.The optimal bidding decision among various aggregators was solved by using the non-cooperative game theory.Simulation examples show that the model can not only stimulate flexible resources on the demand side to actively participate in the regulation of the power market to maximize the economic benefits of all parties,but also effectively reduce the peak-valley difference of load demand to relieve the pressure of balance between supply and demand of the power grid.
作者
张晓东
艾欣
潘玺安
ZHANG Xiaodong;AI Xin;PAN Xi′an(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China)
出处
《华北电力大学学报(自然科学版)》
CAS
北大核心
2023年第1期28-37,47,共11页
Journal of North China Electric Power University:Natural Science Edition
基金
国家重点研发计划“智能电网技术与装备”重点专项“支撑低碳冬奥的智能电网综合示范工程”(2016YFB0900501).
关键词
柔性负荷
需求响应
负荷聚合商
可调度潜力
非合作博弈
flexible load
demand response
load aggregator
schedulable potential
non-cooperative game