摘要
用户响应行为测算需求解峰谷时段与峰谷电价之间的双线性项,目前仅考虑负荷曲线的数值大小对峰谷时段进行单独划分,分时电价实行效果受限。提出峰谷时段与峰谷电价的双层优化模型,考虑风电不确定性下的规划成本与发电成本,反映分时电价的实际经济效用;考虑用户响应的不确定性,保证分时电价实行后的源网荷效益在一定范围内变化;峰谷时段划分与峰谷电价设计均以系统成本最低为目标优化得到,充分考虑峰谷时段划分、峰谷电价设计和用户响应行为之间的交互机理。仿真结果表明,与单独划分峰谷时段的模型相比,所提模型能够制定更优、科学性更强的峰谷时段和峰谷电价,进一步降低系统总成本。
The measurement of user response behavior needs to solve the bilinear term between peak-valley periods and peak-valley electricity prices,at present,only the values of load curve is considered to individually divide the peak-valley periods,and the implementation effect of time-of-use price is limited.A bi-layer optimization model of peak-valley periods and peak-valley electricity prices is proposed,which considers the planning cost and generation cost under the uncertainty of wind power to reflect the actual economic utility of time-of-use price.The uncertainty of user response is considered to ensure that the benefit of source-gridload change within a certain range after the implementation of time-of-use price.Both peak-valley period division and peak-valley electricity price design are optimized with the minimum system cost as the object,and the interaction mechanism among division of peak-valley periods,design of peak-valley electricity prices and user response behavior is fully considered.The simulative results show that,compared with the model of individually dividing the peak-valley periods,the proposed model can formulate better and more scientific peak-valley periods and peak-valley electricity prices,and further reduce the total system cost.
作者
黄剑平
余欣
赵东生
范亚洲
陈皓勇
于是乎
李银格
HUANG Jianping;YU Xin;ZHAO Dongsheng;FAN Yazhou;CHEN Haoyong;YU Shihu;LI Yinge(Electric Power Research Institute of Guangdong Power Grid Co.,Ltd.,Guangzhou 510080,China;School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第6期217-224,共8页
Electric Power Automation Equipment
基金
国家自然科学基金重点资助项目(51937005)
国家重点研发计划项目(2022YFB2403500)。
关键词
峰谷时段
峰谷电价
源网荷效益
风电不确定性
响应不确定性
peak-valley periods
peak-valley electricity prices
benefits of source-grid-load
wind power uncertainty
response uncertainty
