基于目标级联的分布式交易模型的虚拟电厂运行优化策略

Virtual power plant operation optimization strategy based on analysis target cascading of distributed transaction model

过去相关文献主要集中考虑虚拟电厂的经济运行。弃风弃光现象在实际操作中不可避免,不利于新能源的消纳。配电网作为传统交易模式下的运营主体,兼顾电网调度和经济交易管理的双重角色,为减少重要商业信息的传递并促进新能源消纳,提出了一种结合目标级联法求解的分布式交易模型。首先,建立差异性价格模型并据此建立集中交易模型,利用拉格朗日分解法将配电网运营商与各虚拟电厂运营商之间的耦合变量约束引入集中交易模型,建立分布式交易模型,并采用目标级联法进行求解。在减少弃风和弃光现象的同时,减少信息传递并提高安全性。最后,在69节点测试系统中验证了提出方法的有效性和实用性。

In the past,relevant studies mainly focused on the economy of virtual power plant operation.It is inevitable to aban⁃don wind and light in actual operation,which is not conducive to the consumption of new energy.At the same time,under the tradi⁃tional transaction mode,the distribution network,as the main opera⁃tor,takes the dual roles of power grid dispatching and economic transaction management into account.However,virtual power plants are mostly independent operators,and transaction informa⁃tion belongs to important commercial privacy.The way of distribu⁃tion network coordination is not in line with the reality of the mar⁃ket.Therefore,a distributed transaction model,which is solved by target cascade method is proposed.While promoting the consump⁃tion of new energy in virtual power plants,information transmission to improve safety is reduced.Firstly,based on the established differ⁃ential price model,the centralized transaction model is established.The coupling variable constraints between distribution network op⁃erators and virtual power plant operators are introduced into the centralized transaction model by Lagrange decomposition method,the distributed transaction model is established,and the analysis target cascade method is used to solve it.Finally,an example is giv⁃en to verify the effectiveness and practicability of the model.