TWO-STAGE CAPACITY CONFIGURATION OF INTEGRATED ENERGY SYSTEM WITH SEASONAL THERMAL ENERGY STORAGE TAKING INTO ACCOUNT THERMAL ADAPTABILITY OF USERS

Yan Yusheng; Gao Jianwei; Wu Haoyu; Meng Qichen; Wang Ziying

doi:10.19912/j.0254-0096.tynxb.2024-1408

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (12) : 448-459. DOI: 10.19912/j.0254-0096.tynxb.2024-1408

TWO-STAGE CAPACITY CONFIGURATION OF INTEGRATED ENERGY SYSTEM WITH SEASONAL THERMAL ENERGY STORAGE TAKING INTO ACCOUNT THERMAL ADAPTABILITY OF USERS

Yan Yusheng^1,2, Gao Jianwei^1,2, Wu Haoyu^1,2, Meng Qichen^1,2, Wang Ziying^1,2

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Abstract

In response to the seasonal supply-demand mismatch caused by uneven distribution of monthly power generation and differences in user energy consumption, a two-stage capacity allocation model for an integrated energy system with seasonal thermal energy storage is constructed by considering the thermal adaptability of users. Firstly, the comfort characteristics of users in different heating periods are portrayed, and a strategy for dynamic setting of heating temperatures and differentiated assessment of user comfort is proposed, taking into account the influence of user thermal experience. Secondly, considering the economic and environmental costs, a one-stage capacity allocation model is constructed for an integrated energy system with seasonal thermal energy storage, which is solved by a multi-objective particle swarm algorithm under time series reconstruction and generates an annual reference capacity state sequence for seasonal thermal energy storage. Then, a two-stage multi-timescale operation optimization model is developed to study the system operation under different configuration conditions considering the integrated demand response of long and short-term electricity and heat, and ultimately determine the optimal configuration capacity of the system that makes the highest user satisfaction. The model is simulated with examples to verify the feasibility of the proposed model and its solution method.

Key words

thermal comfort / thermal energy storage / demand side management / integrated energy storage / capacity configuration / demand response

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Yan Yusheng, Gao Jianwei, Wu Haoyu, Meng Qichen, Wang Ziying. TWO-STAGE CAPACITY CONFIGURATION OF INTEGRATED ENERGY SYSTEM WITH SEASONAL THERMAL ENERGY STORAGE TAKING INTO ACCOUNT THERMAL ADAPTABILITY OF USERS[J]. Acta Energiae Solaris Sinica. 2025, 46(12): 448-459 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1408

References

[1] 余贻鑫, 秦超. 智能电网基本理念阐释[J]. 中国科学: 信息科学, 2014, 44(6): 694-701.
YU Y X, QIN C.Expatiation on the basic ideas of smart grid[J]. Scientia sinica (informationis), 2014, 44(6): 694-701.
[2] 李兴国, 任永峰, 孟庆天, 等. 考虑可控负荷的含CSP和P2G的综合能源系统优化调度[J]. 太阳能学报, 2023, 44(12): 552-559.
LI X G, REN Y F, MENG Q T, et al.Optimal scheduling of integrated energy system with CSP and P2G considering controllable load[J]. Acta energiae solaris sinica, 2023, 44(12): 552-559.
[3] 朱炳铨, 钱韦廷, 张俊, 等. 考虑风电消纳的电热混合储能系统优化定容方法[J]. 电力建设, 2020, 41(12): 14-22.
ZHU B Q, QIAN W T, ZHANG J, et al.An optimal sizing method for hybrid electrical and thermal energy storage system considering wind power accommodation[J]. Electric power construction, 2020, 41(12): 14-22.
[4] 李军徽, 付英男, 李翠萍, 等. 提升风电消纳的储热电混合储能系统经济优化配置[J]. 电网技术, 2020, 44(12): 4547-4557.
LI J H, FU Y N, LI C P, et al.Economic optimal configuration of hybrid energy storage system for improving wind power consumption[J]. Power system technology, 2020, 44(12): 4547-4557.
[5] 张金宏, 杨建蒙, 李斌, 等. “光火储” 一体化发电系统的季节适应性分析[J]. 太阳能学报, 2024, 45(2): 300-308.
ZHANG J H, YANG J M, LI B, et al.Seasonal adaptability analysis of integrated power generation system of “photovoltaic thermal storage”[J]. Acta energiae solaris sinica, 2024, 45(2): 300-308.
[6] XU J, WANG R Z, LI Y.A review of available technologies for seasonal thermal energy storage[J]. Solar energy, 2014, 103: 610-638.
[7] LI H R, HOU J, HONG T Z, et al.Energy, economic, and environmental analysis of integration of thermal energy storage into district heating systems using waste heat from data centres[J]. Energy, 2021, 219: 119582.
[8] YAN Z, ZHANG Y M, LIANG R Q, et al.An allocative method of hybrid electrical and thermal energy storage capacity for load shifting based on seasonal difference in district energy planning[J]. Energy, 2020, 207: 118139.
[9] 杨冬锋, 徐扬, 姜超. 考虑多类型需求响应的电-热联合系统多时间尺度协调调度[J]. 太阳能学报, 2021, 42(10): 282-289.
YANG D F, XU Y, JIANG C.Multiple time-scale coordinated scheduling of combined electro-thermal system considering multi-type demand response[J]. Acta energiae solaris sinica, 2021, 42(10): 282-289.
[10] 李鹏, 吴迪凡, 李雨薇, 等. 基于综合需求响应和主从博弈的多微网综合能源系统优化调度策略[J]. 中国电机工程学报, 2021, 41(4): 1307-1321.
LI P, WU D F, LI Y W, et al.Optimal dispatch of multi-microgrids integrated energy system based on integrated demand response and stackelberg game[J]. Proceedings of the CSEE, 2021, 41(4): 1307-1321.
[11] 林俐, 顾嘉, 王铃. 面向风电消纳的考虑热网特性及热舒适度弹性的电热联合优化调度[J]. 电网技术, 2019, 43(10): 3648-3661.
LIN L, GU J, WANG L.Optimal dispatching of combined heat-power system considering characteristics of thermal network and thermal comfort elasticity for wind power accommodation[J]. Power system technology, 2019, 43(10): 3648-3661.
[12] 邹云阳, 杨莉, 冯丽, 等. 考虑热负荷二维可控性的微网热电协调调度[J]. 电力系统自动化, 2017, 41(6): 13-19.
ZOU Y Y, YANG L, FENG L, et al.Coordinated heat and power dispatch of microgrid considering two-dimensional controllability of heat loads[J]. Automation of electric power systems, 2017, 41(6): 13-19.
[13] 崔杨, 谷春池, 付小标, 等. 考虑广义电热需求响应的含碳捕集电厂综合能源系统低碳经济调度[J]. 中国电机工程学报, 2022, 42(23): 8431-8446.
CUI Y, GU C C, FU X B, et al.Low-carbon economic dispatch of integrated energy system with carbon capture power plants considering generalized electric heating demand response[J]. Proceedings of the CSEE, 2022, 42(23): 8431-8446.
[14] 赵海彭, 苗世洪, 李超, 等. 考虑冷热电需求耦合响应特性的园区综合能源系统优化运行策略研究[J]. 中国电机工程学报, 2022, 42(2): 573-589.
ZHAO H P, MIAO S H, LI C, et al.Research on optimal operation strategy for park-level integrated energy system considering cold-heat-electric demand coupling response characteristics[J]. Proceedings of the CSEE, 2022, 42(2): 573-589.
[15] YAO R M, LI B Z, LIU J.A theoretical adaptive model of thermal comfort-adaptive predicted mean vote (aPMV)[J]. Building and environment, 2009, 44(10): 2089-2096.
[16] DU C Q, LI B Z, YU W, et al.Energy flexibility for heating and cooling based on seasonal occupant thermal adaptation in mixed-mode residential buildings[J]. Energy, 2019, 189: 116339.
[17] YAN H Y, YANG L, ZHENG W X, et al.Influence of outdoor temperature on the indoor environment and thermal adaptation in Chinese residential buildings during the heating season[J]. Energy and buildings, 2016, 116: 133-140.
[18] 中华人民共和国住房和城乡建设部. 民用建筑供暖通风与空气调节设计规范技术指南[M]. 北京: 中国建筑工业出版社, 2012, 6-7.
Ministry of Housing and Urban-Rural Development of the People’S Republic of China. Technical guide to the design code for heating, ventilation and air conditioning in civil buildings[M]. Beijing: China Architecture & Building Press, 2012, 6-7.
[19] YANG Y X, WANG Z J, ZHOU F Z, et al.Comparison of indoor thermal environments and human thermal responses in Northern and Southern China during winter[J]. Journal of building engineering, 2024, 82: 108131.
[20] LIU X R, HOU M, SUN S L, et al.Multi-time scale optimal scheduling of integrated electricity and district heating systems considering thermal comfort of users: an enhanced-interval optimization method[J]. Energy, 2022, 254: 124311.
[21] ROHLES F H JR. Thermal sensations of sedentary man in moderate temperatures[J]. Human factors, 1971, 13(6): 553-560.
[22] PAN Z G, GUO Q L, SUN H B.Feasible region method based integrated heat and electricity dispatch considering building thermal inertia[J]. Applied energy, 2017, 192: 395-407.
[23] 曹彬, 吕干云, 王楠, 等. 综合能源系统优化调度下的需求响应研究与应用[J]. 电力需求侧管理, 2021, 23(4): 45-50.
CAO B, LYU G Y, WANG N, et al.Research and application of demand response based on optimal scheduling of integrated energy system[J]. Power demand side management, 2021, 23(4): 45-50.
[24] YANG T R, LIU W, KRAMER G J, et al.Seasonal thermal energy storage: a techno-economic literature review[J]. Renewable and sustainable energy reviews, 2021, 139: 110732.