Modeling and Solving Method of Electricity-Carbon Joint Optimization for Virtual Power Plant Clusters

被引：0
|
作者：
Wang, Lei [1 ]
Xu, Zhilong [1 ]
Yang, Chenyu [1 ]
Yuan, Guilin [2 ]
Tang, Liang [2 ]
Wang, Xuli [3 ]
机构：
[1] Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei,230009, China
[2] Wuhu Power Supply Company, State Grid Anhui Electric Power Co., Ltd., Wuhu,241000, China
[3] State Grid Anhui Economic and Technical Research Institute, Hefei,230022, China
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 23期
关键词：
With the proposal of the goal ofcarbon emission peak and carbon neutrality; the low-carbon transformation of energy has become a future development trend. Based on the carbon emission flow theory; a joint electricity-carbon optimization operation method is proposed for multiple virtual power plants (VPPs) with dynamic carbon emission factors; and multiple VPPs bi-layer optimization model is established. Firstly; based on the carbon emission flow theory; an upper-level model for economic dispatch of the upper power grid with the objective of optimal efficiency is established; and the electricity price and dynamic carbon emission factor of each VPP is calculated and sent down to the lower level. Secondly; considering the coupling of electricity-carbon trading; a lower-level joint low-carbon optimization model with multiple VPPs based on the Nash negotiation theory is established. Then; the accelerated-adaptive alternating direction method of multipliers is used to solve the problem; and the power demand of each VPP is obtained and fed back to the upper-layer model. This method can effectively improve the solving speed on the basis of protecting the privacy of members. Finally; based on the asymmetric bargaining method; a electricity-carbon benefit distribution method based on the contribution degree of interactive products is proposed to achieve a reasonable benefit distribution of each VPP. The case analysis shows that the proposed method can effectively reduce the operating cost and carbon emission of the VPP; and realize the fair and reasonable distribution of VPP benefit while taking into account the economic and environmental benefits of VPPs. © 2024 Automation of Electric Power Systems Press. All rights reserved;
D O I：
10.7500/AEPS20230725005
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页码：29 / 40
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