面向虚拟电厂能量管理的点对点市场交易机制与模型

Peer-to-peer Market Trading Mechanism and Model for Virtual Power Plant Energy Management

电力体制改革的不断推进和分布式能源渗透率的不断提高给电力市场与配网运行带来新的机遇与挑战。在此背景下,提出了面向虚拟电厂(virtual power plant,VPP)能量管理的点对点(peer-to-peer,P2P)市场交易机制与模型。首先,在日前阶段针对VPP内部的产消者拥有的分布式资源进行量化建模并根据交易流向进行解耦;然后,基于次梯度法搭建了日前的产消者P2P交易框架,以集群产消者个体收益最大为目标,并通过交互有限的信息,把原问题分解为多个子问题进行迭代求解,实现虚拟电厂内产消者之间的P2P电能交易。所提机制与模型可以有效缓解VPP承担的计算压力,保护用户信息隐私。针对在实时阶段中VPP可能出现的电能偏差,基于VCG(vickrey-clarke-groves)规则提出多边竞价交易机制消除偏差,既能保证实时运行的安全时限,又能实现系统的帕累托改进,降低了交易方信息暴露风险。最后结合算例验证了所提机制与模型的有效性和优越性。

The continuous advancement of power system reform and the increasing improvement of distributed energy penetration have been bringing new opportunities and challenges to the operation of power market and distribution network.In this context,this paper proposes a peer-to-peer(P2P)market trading mechanism and model for the virtual power plant(VPP)energy management.First,in the day-ahead stage,this paper quantifies and decouples the distributed resources of VPP internal prosumers according to the trade flow.Then,a day-ahead prosumer P2P trading framework is built.taking the maximum of the individual benefits of cluster prosumers as the goal,through the interaction of the limited information,the original problem is decomposed into multiple sub iteration solutions,so the P2P electricity trading among prosumers is accomplished.The proposed mechanism and model can effectively relieve the computational pressure borne by VPP,and protect the users’information and privacy.In view of the potential power deviation of VPP in the real-time stage,this paper proposes a multilateral bidding trading mechanism to eliminate the deviation based on the VCG(vickrey-clark-groves)rule.In this way,the safety time of real-time operation can be guaranteed,also the pareto improvement of the system can be realized,and the risk of information exposure of the trading parties is reduced.Finally,an example is given to verify the effectiveness and superiority of the proposed mechanism and model.