梁俊鹏, 张高航, 李凤婷, 解超, 韩璐, 张怿宁. 计及氢储能与需求响应的路域综合能源系统规划方法[J]. 电网技术, 2024, 48(12): 4918-4927. DOI: 10.13335/j.1000-3673.pst.2024.0485
引用本文: 梁俊鹏, 张高航, 李凤婷, 解超, 韩璐, 张怿宁. 计及氢储能与需求响应的路域综合能源系统规划方法[J]. 电网技术, 2024, 48(12): 4918-4927. DOI: 10.13335/j.1000-3673.pst.2024.0485
LIANG Junpeng, ZHANG Gaohang, LI Fengting, XIE Chao, HAN Lu, ZHANG Yining. Road-domain Integrated Energy System Planning Strategy Considering Hydrogen Storage and Demand Response[J]. Power System Technology, 2024, 48(12): 4918-4927. DOI: 10.13335/j.1000-3673.pst.2024.0485
Citation: LIANG Junpeng, ZHANG Gaohang, LI Fengting, XIE Chao, HAN Lu, ZHANG Yining. Road-domain Integrated Energy System Planning Strategy Considering Hydrogen Storage and Demand Response[J]. Power System Technology, 2024, 48(12): 4918-4927. DOI: 10.13335/j.1000-3673.pst.2024.0485

计及氢储能与需求响应的路域综合能源系统规划方法

Road-domain Integrated Energy System Planning Strategy Considering Hydrogen Storage and Demand Response

  • 摘要: 随着高速服务区汽车电-氢充能需求及自身多能源消耗需求增加,构建路域综合能源系统能够满足多能需求并提升风光的接纳能力。为此,提出一种计及氢储能与需求响应的高速公路路域综合能源系统规划方法。首先,分析电解槽、氢燃料电池、空调等多能源转换及储氢设备能量流动的基础上,构建路域综合能源系统框架;其次,利用蒙特卡洛方法模拟路域内汽车无序充能行为,同时引入需求响应与氢储能挖掘电-热(冷)-氢负荷的调节潜力;然后,以经济性、稳定性和用户舒适性最优为目标构建路域综合能源系统多目标规划模型,利用非支配排序遗传算法(non-dominated sorting genetic algorithm Ⅱ,NSGA-Ⅱ)和商业求解器Gurobi进行求解,并通过仿真验证了其有效性;最后结果表明,引入氢燃料电池和需求响应后,风光消纳率得以提升,风电、光伏投建容量上升4.45%、12.24%,系统总成本降低17.27%。引入多目标规划方法后,兼顾系统的稳定性、经济性与用户舒适性,系统稳定性提高了0.26%,系统总成本提高4.26%,负荷用户舒适性降低0.09%,可为含氢储能的路域综合能源系统资源规划提供参考。

     

    Abstract: With the increasing demand for electric-hydrogen charging of vehicles and the multi-energy consumption in high-speed service areas, building a road domain integrated energy system can effectively meet the multi-energy demand and enhance the acceptance of renewable energy. Therefore, a planning method for the road domain integrated energy system containing hydrogen storage and demand response is proposed. Firstly, the road domain integrated energy system framework is constructed based on the analysis of energy flow of multi-energy conversion and hydrogen storage equipment such as electrolytic baths, hydrogen fuel cells, and air conditioners. Secondly, the Monte Carlo method simulates the disorderly charging behavior of vehicles in the road domain integrated energy system. At the same time, the hydrogen storage and demand response are introduced to excavate the potential of electricity-heat (cold)-hydrogen load. Then, a multi-objective planning model for the road domain integrated energy system is constructed to optimize economy, stability, and users' comfort. The (non-dominated sorting genetic algorithm Ⅱ, NSGA-Ⅱ) and commercial solver Gurobi is used to solve the model and, through simulation, verify the model's effectiveness. Finally, the planning results show that after introducing hydrogen fuel cells and demand response, the wind and solar power consumption rate improved, the wind and solar generation capacity increased by 4.45% and 12.24%, and the system total cost decreased by 17.27%. After introducing the multi-objective planning method, considering system stability, economy, and user's comfort, the system stability is improved by 0.26%, the system total cost is increased by 4.26%, and the users' comfort is reduced by 0.09%, which provides a reference for resource planning of road domain integrated energy systems with hydrogen storage.

     

/

返回文章
返回