考虑季节性储氢的区域能源系统优化模型

Regional Energy System Optimization Model Considering Seasonal Hydrogen Storage

为全面评估新能源、季节性储氢等重大因素对区域能源系统规划的影响,缓解能源供应的季节性矛盾,提出一种考虑季节性储氢的区域能源系统优化模型。首先,根据新能源发电出力的历史数据,运用K-means聚类方法生成典型出力场景,并引入一定置信水平下的极限场景保证模型的鲁棒性;然后,考虑电制氢、季节性储氢等能源技术,充分发挥多场景、多时间尺度下不同能源形式的互补性,以能源供应系统总成本最小为优化目标,计及规划与运行阶段的各类约束,建立区域能源系统优化模型;最后,通过算例分析验证了所建模型在降低供能成本、消纳新能源等方面的有效性。

To comprehensively evaluate the impact of renewable energy and seasonal hydrogen storage on regional energy system planning,and alleviate the seasonal contradiction of energy supply,the paper proposes a regional energy system optimization model considering the seasonal hydrogen storage.Firstly,according to the historical data from renewable energy generation output,the Kmeans clustering method is employed to generate typical output scenarios,and an extreme scenario with a certain confidence level is introduced to ensure the robustness of the model.Then considering the energy technologies such as power to hydrogen and the seasonal hydrogen storage as well as various constraints in both planning and operation stage,an regional energy system optimization model is established with the goal of minimizing the total cost of the energy supply system,giving full play to the complementarity of different forms of the energy in multiple scenarios and time scales.Finally,case studies are given to verify the effectiveness of the proposed model in reducing the cost of the energy supply and integrating the renewable energy.