Reliability Optimization Planning Method of New Energy Grid Considering the Growth Characteristics of Hydrogen Load

Ji Xing, Zhao Lin, Hou Yixin, Jiang Haiwei, Huo Jingwei, Bai Jianshi, Wang Yingxu
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Abstract

Different energy networks in NEG can be coupled through efficient conversion devices. Users will use the lowest energy supply cost to meet the energy demand. Therefore, the difficulty of load forecasting increases, which brings new challenges to system planning. Aiming at the problem that the reliability of energy supply is reduced due to the difficulty in identifying the growth characteristics of electro-hydrogen load in new new energy grid (NEG), a reliability optimization planning method for NEG considering the growth characteristics of electro-hydrogen load is proposed in this paper. Firstly, a NEG planning framework including electricity, heat, natural gas and hydrogen energy is established. Secondly, the electro-hydrogen load model including transferable load, interruptible load and hydrogen equivalent electric load is studied. The electro-hydrogen load forecasting model based on SVR-GM is established. This model can accurately quantify the electro-hydrogen load growth characteristics. Then, aiming at construction cost and energy supply reliability, the reliability optimization planning model of NEG is established. Further model solving method based on multi-objective differential evolution algorithm is proposed. Finally, the simulation is carried out according to the actual operation data of NEG in a city of Northeast China. The results show that the proposed method can reduce the total investment cost of the NEG while ensuring the reliability of energy supply.
考虑氢负荷增长特性的新能源电网可靠性优化规划方法
NEG中不同的能量网络可以通过高效的转换装置进行耦合。用户将使用最低的能源供应成本来满足能源需求。因此,负荷预测的难度加大,给系统规划带来了新的挑战。针对新新能源电网因难以识别电氢负荷增长特征而导致供电可靠性降低的问题,提出了一种考虑电氢负荷增长特征的新新能源电网可靠性优化规划方法。首先,建立了包括电、热、气、氢能在内的NEG规划框架。其次,研究了包括可转移负荷、可中断负荷和氢当量负荷在内的电氢负荷模型。建立了基于SVR-GM的电氢负荷预测模型。该模型可以准确量化电氢负荷的增长特性。然后,以建设成本和供能可靠性为目标,建立了NEG的可靠性优化规划模型。进一步提出了基于多目标差分进化算法的模型求解方法。最后,根据东北某市NEG的实际运行数据进行了模拟。结果表明,该方法在保证供电可靠性的同时,降低了NEG的总投资成本。
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