摘要
可再生能源和传统能源联合发电是未来电网的发展趋势,不同类型能源发电的定价机制是智能电网研究中的一个重要问题。考虑供电侧同时包含传统能源和可再生能源发电、用户配备电力存储设备,为兼顾供需双方的利益和碳减排,提出了一种基于社会福利最大化模型的实时定价机制。鉴于传统能源和可再生能源的发电方式和发电成本等存在较大差异,在利用拉格朗日对偶算法求解时,引入两个全局拉格朗日乘子作为相应的影子价格,即最优实时电价。数值仿真结果表明,与固定分时定价相比,所提实时定价机制能够有效地削峰填谷、提高社会福利,在经济性方面取得了良好的效果。
The combined generation of renewable energy and traditional energy is the development trend of the future power grid.The pricing mechanism for different types of energy generation is an important issue in the research of smart grid.Considering multi-energy generation on supply side and power storage devices for users,a real-time pricing mechanism based on the social welfare maximization model was proposed,which took the interests of both supply and demand sides as well as carbon emission reduction into account.Lagrange dual algorithm was adopted to solve this problem and two global Lagrange multipliers were introduced as the corresponding shadow price,namely the optimal real-time electricity prices.Compared with fixed time-dependent pricing,the simulation results demonstrate that the proposed real-time pricing mechanism has a good performance in cutting peak and filling valley and improves social welfare,achieving good economic results.
作者
赵雪琦
高岩
ZHAO Xueqi;GAO Yan(Business School,University of Shanghai for Science and Technology,Shanghai 200093,China)
出处
《上海理工大学学报》
CAS
CSCD
北大核心
2024年第4期431-439,共9页
Journal of University of Shanghai For Science and Technology
基金
国家自然科学基金资助项目(72071130)。
关键词
实时定价
可再生能源发电
社会福利最大化
对偶优化方法
碳减排
real-time pricing
renewable energy generation
social welfare maximization
dual optimization method
carbon emission reduction