OPTIMAL CONFIGURATION OF DISTRIBUTED ENERGY SYSTEMS IN PARKS CONSIDERING P2G AND THERMAL ENERGY GRADE

Liu Rui; Wang Ziyi; Zhao Bin; Wang Li; Zhang Chuanliang; Liu Dong

doi:10.19912/j.0254-0096.tynxb.2024-0188

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (6) : 470-477. DOI: 10.19912/j.0254-0096.tynxb.2024-0188

OPTIMAL CONFIGURATION OF DISTRIBUTED ENERGY SYSTEMS IN PARKS CONSIDERING P2G AND THERMAL ENERGY GRADE

Liu Rui¹, Wang Ziyi¹, Zhao Bin^1,2, Wang Li², Zhang Chuanliang¹, Liu Dong¹

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Abstract

To reduce the energy supply cost and CO₂ emissions of the park and meet the energy demands of different grades in industrial production, a distributed energy system for the park that takes into account P2G and the supply of thermal energy of different grades is proposed. Firstly, the typical daily load is selected using the k-means clustering algorithm. Then, a capacity optimization model is established with the objective of minimizing the annual total cost and CO₂ emissions of the system. Next, a decision-making process is initiated utilizing the TOPSIS method, which has been adjusted through entropy weighting, in order to address the derived Pareto frontier. Finally, a comparative analysis is conducted to investigate the impact of different system configurations on their overall performance. The research results indicate that the proposed distributed energy system for the park which considers P2G and thermal energy grades is more economical and environmental friendly. The integration of heat pumps and P2G technology effectively enhances the system's renewable energy absorption capacity, optimizes its energy supply, and improves its exergy efficiency by 16.8%.

Key words

renewable energy resources / multiobjective optimization / exergy / distributed energy systems / P2G

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Liu Rui, Wang Ziyi, Zhao Bin, Wang Li, Zhang Chuanliang, Liu Dong. OPTIMAL CONFIGURATION OF DISTRIBUTED ENERGY SYSTEMS IN PARKS CONSIDERING P2G AND THERMAL ENERGY GRADE[J]. Acta Energiae Solaris Sinica. 2025, 46(6): 470-477 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0188

References

[1] 李承周, 王宁玲, 窦潇潇, 等. 多能源互补分布式能源系统集成研究综述及展望[J]. 中国电机工程学报, 2023, 43(18): 7127-7150.
LI C Z, WANG N L, DOU X X, et al.Review and prospect on the system integration of distributed energy system with the complementation of multiple energy sources[J]. Proceedings of the CSEE, 2023, 43(18): 7127-7150.
[2] 王永真, 康利改, 张靖, 等. 综合能源系统的发展历程、典型形态及未来趋势[J]. 太阳能学报, 2021, 42(8): 84-95.
WANG Y Z, KANG L G, ZHANG J, et al.Development history, typical form and future trend of integrated energy system[J]. Acta energiae solaris sinica, 2021, 42(8): 84-95.
[3] 李浩, 钟声远, 王永真, 等. 基于能量与信息耦合的分布式能源系统配置优化方法[J]. 中国电机工程学报, 2020, 40(17): 5467-5476.
LI H, ZHONG S Y, WANG Y Z, et al.Optimization method on the distributed energy system based on energy and information coupled[J]. Proceedings of the CSEE, 2020, 40(17): 5467-5476.
[4] ZHANG J Q, ZHU L, WANG Y, et al.Global sensitivity analysis and stochastic optimization of multi-energy complementary distributed energy system considering multiple uncertainties[J]. Journal of cleaner production, 2023, 389: 136120.
[5] 张巍, 王锐, 缪平, 等. 全球可再生能源电转甲烷的应用[J]. 化工进展, 2023, 42(3): 1257-1269.
ZHANG W, WANG R, MIAO P, et al.Application research progress of renewable power-to-methane[J]. Chemical industry and engineering progress, 2023, 42(3): 1257-1269.
[6] AHMADI S E, SADEGHI D, MARZBAND M, et al.Decentralized bi-level stochastic optimization approach for multi-agent multi-energy networked micro-grids with multi-energy storage technologies[J]. Energy, 2022, 245: 123223.
[7] ZHOU S Y, SUN K Y, WU Z, et al.Optimized operation method of small and medium-sized integrated energy system for P2G equipment under strong uncertainty[J]. Energy, 2020, 199: 117269.
[8] WANG S X, WANG S M, ZHAO Q Y, et al.Optimal dispatch of integrated energy station considering carbon capture and hydrogen demand[J]. Energy, 2023, 269: 126981.
[9] 赵冬梅, 夏轩, 陶然. 含电转气的热电联产微网电/热综合储能优化配置[J]. 电力系统自动化, 2019, 43(17): 46-54.
ZHAO D M, XIA X, TAO R.Optimal configuration of electric/thermal integrated energy storage for combined heat and power microgrid with power to gas[J]. Automation of electric power systems, 2019, 43(17): 46-54.
[10] YANG X H, ZHANG Z L, MEI L H, et al.Optimal configuration of improved integrated energy system based on stepped carbon penalty response and improved power to gas[J]. Energy, 2023, 263: 125985.
[11] 刘洪, 赵越, 刘晓鸥, 等. 计及能源品位差异的园区多能源系统综合能效评估[J]. 电网技术, 2019, 43(8): 2835-2843.
LIU H, ZHAO Y, LIU X O, et al.Comprehensive energy efficiency assessment of park-level multi-energy system considering difference of energy grade[J]. Power system technology, 2019, 43(8): 2835-2843.
[12] 黄宇, 王宇涛, 李淑琴, 等. 计及㶲分析的综合能源系统多目标优化调度[J]. 太阳能学报, 2022, 43(7): 30-38.
HUANG Y, WANG Y T, LI S Q, et al.Multi-objective optimal scheduling of integrated energy system with thermodynamic exergy analysis method[J]. Acta energiae solaris sinica, 2022, 43(7): 30-38.
[13] 祝荣, 任永峰, 孟庆天, 等. 基于合作博弈的综合能源系统电-热-气协同优化运行策略[J]. 太阳能学报, 2022, 43(4): 20-29.
ZHU R, REN Y F, MENG Q T, et al.Electricity-heat-gas cooperative optimal operation strategy of integrated energy system based on cooperative game[J]. Acta energiae solaris sinica, 2022, 43(4): 20-29.
[14] 金泰, 李娜, 秦建华, 等. 基于混合整数非线性规划的综合能源系统优化配置研究[J]. 热力发电, 2021, 50(8): 131-140.
JIN T, LI N, QIN J H, et al.Optimization allocation of integrated energy system based on mixed integer nonlinear programming[J]. Thermal power generation, 2021, 50(8): 131-140.
[15] SHEN H T, ZHANG H L, XU Y J, et al.Multi-objective capacity configuration optimization of an integrated energy system considering economy and environment with harvest heat[J]. Energy conversion and management, 2022, 269: 116116.
[16] WANG J S, REN X X, ZHANG S, et al.Co-optimization of configuration and operation for distributed multi-energy system considering different optimization objectives and operation strategies[J]. Applied thermal engineering, 2023, 230: 120655.
[17] ZHAO D Q, XIA Z P, GUO M T, et al.Capacity optimization and energy dispatch strategy of hybrid energy storage system based on proton exchange membrane electrolyzer cell[J]. Energy conversion and management, 2022, 272: 116366.