考虑与集中市场协同的本地点对点交易双层优化模型

随着配电网内分布式能源渗透率不断提升，合适的市场机制可促进分布式能源的就近消纳。构建了与集中市场协同的本地点对点交易双层优化框架，上层为本地点对点交易的纳什议价非线性模型，下层为集中市场出清线性模型。提出了两阶段求解方法求解所建模型，在阶段1将上层模型简化为最小化本地市场总运行成本模型，下层模型保持不变，并借助Karush-Kuhn-Tucker条件进行等价代替，将其转化为混合整数二阶锥问题进行求解；阶段2为支付效益最大化问题，可采用算术-几何均值不等式进行求解。以一个输配联合系统为算例进行仿真分析和有效性验证，结果表明所建模型能促进分布式能源的就近消纳，提高本地市场主体的收益，并保证配电网安全运行。

Bi-level optimization model for local peer-to-peer trading considering coordination with centralized market

With the increasing penetration rate of distributed energy resources in the distribution network, appropriate market mechanism can promote the local consumption of distributed energy resources. A bi-level optimization framework for local peer-to-peer(P2P) trading coordinated with centralized market is constructed. The upper-level is the nonlinear Nash bargaining model of local P2P trading and the lower-level is the linear clearing model of centralized market. A two-stage solving method is proposed to solve the model. In the first stage, the upper-level model is simplified to minimize the total operation cost of local market, while the lower-level model remains unchanged. By the Karush-Kuhn-Tucker condition-based equivalent substitution, the first stage optimization model is transformed into a mixed-integer second-order cone problem for solving. The second stage is the payment benefit maximization problem, which can be solved directly by inequality of arithmetic and geometric means. A combined transmission and distribution system is taken as an example for simulation analysis and validity verification. The results show that the proposed model can promote the local consumption of distributed energy resources, improve the income of local market players and ensure the safe operation of distribution network.