基于可逆固体氧化物电池的电氢耦合微电网全生命周期规划-运营研究

Research for Entire Lifecycle Planning-operation of Electric-hydrogen Coupled Microgrid Based on Reversible Solid Oxide Cell

为促进实现“双碳”目标,新能源将成为未来能源供应的主体。考虑到高比例新能源对电力系统容量规划和调度运营带来的巨大挑战以及电氢能源需求量的持续增长对电力系统的影响,以微电网为研究对象,设计基于可逆固体氧化物电池的考虑源荷不确定性的电氢耦合微电网全生命周期规划-运营优化模型及其求解算法。首先,针对风光产电、电氢负荷等多种不确定因素,设计包含微电网全生命周期内各年份不同典型日的数据,以构成随机场景。其次,对电氢耦合微电网容量规划成本、全生命周期调度运营成本以及新能源年均渗透率等多个优化目标进行数学表达,并对各发电机组、可逆固体氧化物电池以及储氢库的规划-运营约束进行线性描述。然后,设计一种改进的增广ε约束算法求解模型的Pareto解集,并提出一种平衡决策方法从解集中获取最佳规划-调度方案。最后,仿真结果表明,所提方法能均衡各优化目标,在保证新能源高渗透率的同时提升电氢耦合微电网的可靠性以及规划-运营经济性。

In order to achieve the goal of carbon peak and carbon neutrality,renewable energy is widely considered to dominate the energy supply in the future.Since the great challenge of capacity planning and scheduling operation of power systems caused by the high proportion of renewable energy generation and the impact on the power system of the continued growth in demand for electric hydrogen energy,this paper selects the microgrid as a research objective.It proposes an entire lifecycle planning-operation optimization model for electro-hydrogen coupled microgrid based on reversible solid oxide battery,which considers source-load uncertainty.Additionally,a method is designed to solve the model.First of all,the data containing different typical days in each year during the entire lifecycle of the microgrid are designed to generate stochastic scenarios for various uncertainties such as wind and photovoltaic power production and electric hydrogen load.Then,multiple optimization objectives including capacity planning cost,entire lifecycle operation cost and annual penetration rate of renewable energy are mathematically expressed,and the planning-operation constraints of each generation unit,reversible solid oxide cell and hydrogen storage are described with linear formulations.Besides,an improved augmentedeconstraint algorithm is designed to obtain the Pareto solution set,and a balanced decision-making method is proposed to search for the optimal planning-dispatch solution from the set.Finally,simulations show that the proposed method can balance all optimization objectives and improve the reliability and planning-operation economy of the electro-hydrogen coupled microgrid while ensuring the high penetration of renewable energy.