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

作　　者：汪进锋 李金鹏 许银亮 刘海涛 何锦雄 许建远 WANG Jinfeng;LI Jinpeng;XU Yinliang;LIU Haitao;HE Jinxiong;XU Jianyuan(Guangdong Power Grid Co.,Ltd.Electric Power Research Institute,Guangzhou 510080,China;Tsinghua Shenzhen International Graduate School,Shenzhen 518000,China;Guangdong Power Grid Co.,Ltd.Maoming Power Supply Bureau,Maoming 525000,China)

机构地区：[1]广东电网有限责任公司电力科学研究院,广东广州510080 [2]清华大学深圳国际研究生院,广东深圳518000 [3]广东电网有限责任公司茂名供电局,广东茂名525000

出　　处：《中国电力》2025年第4期21-30,192,共11页Electric Power

基　　金：中国南方电网有限责任公司科技项目(030900KC23120011,GDKJXM20231514)。

摘　　要：为应对日益增长的可再生能源规模带来的不确定性问题,提出一种考虑不确定性的虚拟电厂分布式优化方法。在虚拟电厂侧,采用基于场景的随机优化模型,考虑了光伏、风电出力的随机特性。在配电网侧,考虑从输电网购电的电价不确定性,分别建立了基于信息差距决策理论的两阶段鲁棒优化模型和机会模型,以增强模型对电价变化的鲁棒性或在波动电价中获取潜在的收益。通过自适应的交替方向乘子算法在虚拟电厂与配电网之间分布式地求解模型,以保护双方的隐私。结果表明,所提模型在不确定条件下较鲁棒模型灵活性强,能够更好地平衡风险和效益,分布式算法收敛性能优异,较集中式算法能够更充分利用计算资源。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 

分 类 号：TM73[电气工程—电力系统及自动化]