摘要
传统的分时电价环境下,居民用户大量负荷转移至低电价时段,形成新的负荷高峰。为了缓解这一状况,提出了居民用户参与电网调峰的激励机制。以用户最小用电成本为目标函数,对家庭用电设备进行分类并建立数学模型;考虑调峰功率约束和补偿费用约束,运用改进的逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),并通过用户响应次数、响应功率等4个指标对每轮次参与调峰的用户进行优先级排序,最终确定参与调峰的用户名单。案例分析结果表明能够降低用户用电成本,减小系统的峰谷差。所提方法能够引导用户有序参与电网调峰,实现用户用电策略的优化。
Under the traditional time-of-use electricity price environment,a large number of loads of residential users are transferred to the low electricity price period,forming a new load peak.To alleviate this problem,an incentive mechanism to participate in power grid peak-shaving was proposed.Household equipment was classified and load models were established with the user’s minimum electricity cost as the objective function.Considering the peak-shaving power constraints and compensation cost constraints,a technique for order preference by similarity to ideal solution TOPSIS was proposed to use 4 indicators to prioritize users participating in peak-shaving each round,and the list of users was finally determined.The case analysis results show that it can reduce the cost of electricity for users and reduce the peak-to-valley difference of the system.The proposed method can guide users to participate in orderly peak regulation and optimize user power consumption strategies.
作者
施泉生
马思源
任洪波
王子轩
张小彪
SHI Quan-sheng;MA Si-yuan;REN Hong-bo;WANG Zi-xuan;ZHANG Xiao-biao(College of Economics and Management,Shanghai University of Electric Power, Shanghai 200120, China;College of Energy and Mechanical Engineering,Shanghai University of Electric Power, Shanghai 200120, China)
出处
《科学技术与工程》
北大核心
2020年第30期12436-12442,共7页
Science Technology and Engineering
基金
国家自然科学基金(71403162)。
关键词
需求响应
智能用电
优先级排序
削峰填谷
激励机制
demand response
smart electricity
priority sequencing
peak load shaving
incentive mechanism
