基于配网节点电价的综合能源系统随机优化

综合能源系统(integrated energy system,IES)以可再生能源为核心,为配电网环境下多能源的接入和耦合利用提供有效载体。为了促进多元能源之间的高效能量转换,首先,引入交直流混合微网结构,建立了基于能量枢纽的IES模型。然后,根据上层配电网和下层能量枢纽之间的交互关系,构建一种二层递归式优化模型。配电网运营商(distribution system operator,DSO)利用能量枢纽的灵活性来提高系统经济收益,能量枢纽则依据配电网节点电价(distribution locational marginal price,DLMP)和用户负荷进行内部运行优化,从而形成配电网与能量枢纽之间利益的制约和平衡。同时,考虑分布式可再生能源出力以及用户用能行为不确定性,采用多场景随机规划方法,实现基于交直流混合型能量枢纽的IES随机优化。最后,结合IEEE-33节点配网算例进行仿真分析,仿真结果验证了该模型的鲁棒性和经济性。

Stochastic Optimization of Integrated Energy System ConsideringDistribution Locational Marginal Price

Integrated energy system (IES) focuses on renewable energy, which provides an effective carrier for multi-energy access and coupling utilization in the context of distribution system. Firstly, in order to promote the efficient energy conversion among multiple energy sources, the hybrid AC/DC microgrid structure is introduced, and the IES model based on energy hub is established. Then, according to the interaction between the upper distribution network and the lower energy hub, a two-level recursive optimization model is constructed. Distribution system operator (DSO) uses the flexibility of energy hub to improve the economic benefits of the system, while the energy hub optimizes the internal operation according to distribution locational marginal price (DLMP) and consumer load, thus forming the restriction and balance of interests between the distribution system and the energy hub. Meanwhile, considering the uncertainty of output of distributed renewable energy and consumers' energy consumption behavior, the multi-scenario stochastic optimal scheduling mode of IES based on hybrid AC/DC energy hub is proposed. Finally, the simulation results of modified IEEE 33-node system are used to verify the robustness and economy of the proposed model.