摘要
随着海量、分散、多元分布式资源的规模化接入,虚拟电厂(VPP)技术已成为需求侧资源统一管理和高效调控的有效方式。为探索VPP多品种交易新模式,提出一种多VPP电-碳-备用点对点(P2P)交易模型,并采用条件风险价值理论量化新能源随机性带来的潜在风险。首先,建立含光伏机组、燃料电池、储能、中央空调和柔性负荷的VPP聚合模型,并提出多VPP电-碳-备用P2P交易方法,实现多VPP之间电能、碳排放量和备用资源的交互共享。其次,建立基于条件风险价值的VPP交易模型,实现VPP内光伏出力不确定性的风险衡量。然后,采用基于共识的自适应步长交替方向乘子法完成所构模型的高效求解。最后,通过算例验证了多VPP电-碳-备用P2P交易机制能激励VPP参与多种产品共享,增加自身收益及社会效益,所考虑的条件风险价值也为VPP利润和风险的权衡提供了有效的决策参考。
With the large-scale access of massive,decentralized and diverse distributed resources,the virtual power plant (VPP)technology has become an effective method of unified management and efficient regulation for demand-side resources.In order to explore a new mode of VPP multi-variety trading,a multi-VPP electricity-carbon-reserve peer-to-peer (P2P) trading model is proposed,and the conditional value-at-risk theory is used to quantify the potential risks brought by the randomness of renewable energy.Firstly,a VPP aggregation model including photovoltaic units,fuel cells,energy storage,central air conditioning and flexible load is established,and a multi-VPP electricity-carbon-reserve P2P trading method is proposed to realize the interactive sharing of energy,carbon emission and reserve resources.Secondly,a VPP trading model based on the conditional value-at-risk is established to realize the risk measurement of photovoltaic output uncertainty in the VPP.Thirdly,the consensus-based adaptive step size alternating direction method of multipliers is used to solve the constructed model efficiently.Finally,through an example,it is verified that the electricity-carbon-reserve P2P trading mechanism for multiple VPPs can encourage VPPs to participate in the sharing of various resources,while increase their own benefits and social welfare.Conditional value-at-risk also provides an effective decision reference for the trade-off of profit and risk in VPP.
作者
沈思辰
韩海腾
周亦洲
孙国强
卫志农
胡国伟
SHEN Sichen;HAN Haiteng;ZHOU Yizhou;SUN Guoqiang;WEI Zhinong;HU Guowei(College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China;Economic and Technology Research Institute of State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210008,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2022年第18期147-157,共11页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(52077060)。
关键词
虚拟电厂
点对点交易
条件风险价值
碳交易
交替方向乘子法
virtual power plant
peer-to-peer trading
conditional value-at-risk
carbon trading
alternating direction method of multiplies
