运行与规划协同的电热氢联供系统最优容量配置研究

Optimal capacity allocation of an electricity heat hydrogen cogeneration system based on coordinated operation and planning

在“双碳”目标下,以氢能等零碳能源为主体的综合能源系统高速发展,发挥其运行策略与容量配置的协同优化有利于保障能源供应、提高规划经济性。在此背景下,提出一种运行与规划协同的电热氢联供系统(electricity heat hydrogen cogeneration system, EHH-CS)最优容量配置方法。首先,在构建EHH-CS模型的基础上,通过拉丁超立方抽样与改进K-均值聚类结合的方法,建立不确定性变量的典型场景,实现可再生能源及负荷不确定性的合理刻画。其次,建立EHH-CS容量配置双层联合迭代模型。上层为优化配置层,以日投资净收益最大为目标进行优化配置,下层为优化运行层,以日运行收益最大为目标进行优化运行。并通过粒子群算法进行循环迭代求解,以获得协同最优的运行策略及容量配置方案。最后,以某EHH-CS为例进行仿真验证。结果证明,所提方法促进了可再生能源的就地消纳,有效地均衡了系统的规划成本及运行费用。

Given the goal of "double carbon", an integrated energy system dominated by zero-carbon energy such as hydrogen is developing at a high speed. Giving full play to the collaborative optimization of its operation strategy and capacity allocation is conducive to ensuring energy supply and improving planning economy. Given this, an optimal capacity allocation method of an electricity-heat-hydrogen cogeneration system(EHH-CS) with coordinated operation and planning is proposed. First, based on the construction of an EHH-CS model, and through the combination of Latin hypercube sampling and improved K-means clustering, typical scenarios of uncertainties are established to realize the reasonable description of renewable energy and load uncertainty. Second, a double-layer joint iterative model of capacity allocation of an EHH-CS is established. The upper layer is the optimal allocation layer, and this takes the maximum daily net investment income as the objective of optimal allocation, and the lower layer is the optimal operation layer, which takes the maximum daily operation income as the objective of optimal operation. A cyclic iterative solution is carried out using the particle swarm optimization algorithm to obtain the coordinated optimal operation strategy and capacity allocation scheme. Finally, an EHH-CS is taken as an example to verify the simulation. The results show that the proposed method promotes the local consumption of renewable energy and effectively balances the planning and operational costs of the system.