中国电力2025，Vol.58Issue(4)：21-30,192,11.DOI:10.11930/j.issn.1004-9649.202409069
考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化
Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market
摘要
Abstract
In order to cope with the uncertainties brought by the growing scale of renewable energy,this paper proposed a distributed optimization for virtual power plant(VPP)considering uncertainties.On the VPP side,a scenario-based stochastic optimization model was used to depict the stochastic characteristics of photovoltaic and wind power output.On the distribution network side,considering the uncertainty of electricity prices when purchasing power from the grid,a two-stage robust optimization model and an opportunity model based on information gap decision theory were established to enhance the model's robustness against electricity price fluctuations or to capture potential benefits amidst volatile electricity prices.The problem was solved distributedly between the VPP and the distribution network through the alternating direction multiplier method algorithm to protect their privacy.The results show that the proposed model is more flexible than the robust model and can better balance the risks and benefits under uncertain conditions.The distributed algorithm has a good convergence performance and can better utilize computing resources compared to the centralized algorithm.关键词
虚拟电厂/配电网/可交易绿证市场/不确定性/分布式优化Key words
virtual power plant/distribution network/tradable green certificate market/uncertainty/distributed optimization引用本文复制引用
汪进锋,李金鹏,许银亮,刘海涛,何锦雄,许建远..考虑不确定性和绿证交易的虚拟电厂与配电网分布式优化[J].中国电力,2025,58(4):21-30,192,11.基金项目
中国南方电网有限责任公司科技项目(030900KC23120011,GDKJXM20231514). This work is supported by Science and Technology Project of CSG(No.030900KC23120011,No.GDKJXM20231514). （030900KC23120011,GDKJXM20231514）
