STUDY ON LOW-CARBON ECONOMIC OPTIMAL SCHEDULING MODEL OF COMMUNITY INTEGRATED ENERGY SYSTEM

Yuan Shiqi; Pan Pengcheng; Wei Yewen; Xu Hengshan; Huo Minglei

doi:10.19912/j.0254-0096.tynxb.2022-1784

PDF(1845 KB)

Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (3) : 347-356. DOI: 10.19912/j.0254-0096.tynxb.2022-1784

STUDY ON LOW-CARBON ECONOMIC OPTIMAL SCHEDULING MODEL OF COMMUNITY INTEGRATED ENERGY SYSTEM

Yuan Shiqi^1,2, Pan Pengcheng^1,2, Wei Yewen^1,2, Xu Hengshan^1,2, Huo Minglei³

Author information +

History +

Abstract

The existing community integrated energy system dispatching strategies has the disadvantages of high cost, environmental pollution and low energy utilization rate. Therefore, a low-carbon economic optimization model of a community integrated energy system that considers the power to gas and carbon trading mechanism is proposed. Firstly, the heat release characteristics of the methanation link in the process of power to gas and its influence on the optimal operation of the system are analyzed. Secondly, a ladder-type carbon trading mechanism of rewards and punishments for community integrated energy system with compensation factors is established to constrain the carbon emissions. Finally, an optimal scheduling model of the community integrated energy system is established with the goal of minimizing the operation cost, energy abandonment power and carbon emissions, and the multi-objective optimization calculation is carried out. The results show that the proposed optimization model reduces the total cost, energy consumption and carbon emissions by 15.4%, 98.3% and 19.7%, respectively. Therefore, the proposed scheduling model can improve the energy utilization efficiency and economy, and reduce the carbon emissions of the community integrated energy system effectively.

Key words

renewable energy / optimal scheduling / integrated energy system / power to gas / ladder-type carbon trading mechanism / low-carbon economic

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Yuan Shiqi, Pan Pengcheng, Wei Yewen, Xu Hengshan, Huo Minglei. STUDY ON LOW-CARBON ECONOMIC OPTIMAL SCHEDULING MODEL OF COMMUNITY INTEGRATED ENERGY SYSTEM[J]. Acta Energiae Solaris Sinica. 2024, 45(3): 347-356 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1784

References

[1] GUO Y, TIAN J P, ZANG N, et al.The role of industrial parks in mitigating greenhouse gas emissions from China[J]. Environmental science & technology, 2018, 52(14): 7754-7762.
[2] 新华社. 中共中央国务院印发《国家标准化发展纲要》[J]. 船舶标准化工程师, 2021, 54(6): 1.
XINHUA NEWS AGENCY.The state council, the central committee of the communist party of China issued the outline of national standardization development[J]. Ship standardization engineer, 2021, 54(6): 1.
[3] 杨欢红, 谢明洋, 黄文焘, 等. 含废物处理的城市综合能源系统低碳经济运行策略[J]. 电网技术, 2021, 45(9): 3545-3552.
YANG H H, XIE M Y, HUANG W T, et al.Low-carbon economic operation of urban integrated energy system including waste treatment[J]. Power system technology, 2021, 45(9): 3545-3552.
[4] MA H, CHEN Q, HU B, et al.A compact model to coordinate flexibility and efficiency for decomposed scheduling of integrated energy system[J]. Applied energy, 2021, 285: 116474.
[5] 窦迅, 赵文浩, 郎伊紫禾, 等. 计及电转气技术的天然气-电力耦合系统运行研究综述[J]. 电网技术, 2019, 43(1): 165-173.
DOU X, ZHAO W H, LANG Y Z H, et al. A review of operation of natural gas-electricity coupling system considering power-to-gas technology[J]. Power system technology, 2019, 43(1): 165-173.
[6] 张儒峰, 姜涛, 李国庆, 等. 考虑电转气消纳风电的电-气综合能源系统双层优化调度[J]. 中国电机工程学报, 2018, 38(19): 5668-5678, 5924.
ZHANG R F, JIANG T, LI G Q, et al.Bi-level optimization dispatch of integrated electricity-natural gas systems considering P2G for wind power accommodation[J]. Proceedings of the CSEE, 2018, 38(19): 5668-5678, 5924.
[7] 张亚超, 郑峰, 乐健, 等. 考虑风电高阶不确定性的电气综合系统分布鲁棒协同优化调度[J]. 中国电机工程学报, 2020, 40(24): 8012-8026, 8238.
ZHANG Y C, ZHENG F, LE J, et al.A distributionally robust coordinated optimization scheduling of integrated electricity and natural gas systems considering higher-order uncertainty of wind power[J]. Proceedings of the CSEE, 2020, 40(24): 8012-8026, 8238.
[8] 张锴, 郭小璇, 韩帅, 等. 基于电转气反应热应用和合作博弈的电转气装置容量规划[J]. 电网技术, 2021, 45(7): 2801-2811.
ZHANG K, GUO X X, HAN S, et al.Capacity planning of power-to-gas devices considering reaction heat recovery and cooperative game[J]. Power system technology, 2021, 45(7): 2801-2811.
[9] 马喜平, 沈渭程, 甄文喜, 等. 基于低碳目标的电气综合能源系统优化调度策略研究[J]. 电网与清洁能源, 2021, 37(12): 116-122.
MA X P, SHEN W C, ZHEN W X, et al.A study on the optimal scheduling strategy of electric-gas-thermal integrated energy system based on low carbon target[J]. Power system and clean energy, 2021, 37(12): 116-122.
[10] 张立辉, 戴谷禹, 聂青云, 等. 碳交易机制下计及用电行为的虚拟电厂经济调度模型[J]. 电力系统保护与控制, 2020, 48(24): 154-163.
ZHANG L H, DAI G Y, NIE Q Y, et al.Economic dispatch model of virtual power plant considering electricity consumption under a carbon trading mechanism[J]. Power system protection and control, 2020, 48(24): 154-163.
[11] 崔杨, 曾鹏, 仲悟之, 等. 考虑阶梯式碳交易的电-气-热综合能源系统低碳经济调度[J]. 电力自动化设备, 2021, 41(3): 10-17.
CUI Y, ZENG P, ZHONG W Z, et al.Low-carbon economic dispatch of electricity-gas-heat integrated energy system based on ladder-type carbon trading[J]. Electric power automation equipment, 2021, 41(3): 10-17.
[12] 邱彬, 宋绍鑫, 王凯, 等. 计及需求响应和阶梯型碳交易机制的区域综合能源系统优化运行[J]. 电力系统及其自动化学报, 2022, 34(5): 87-95, 101.
QIU B, SONG S X, WANG K, et al.Optimal operation of regional integrated energy system considering demand response and ladder-type carbon trading mechanism[J]. Proceedings of the CSU-EPSA, 2022, 34(5): 87-95, 101.
[13] 张玉黎, 叶茂, 肖睿, 等. 垃圾焚烧发电耦合电转气制备合成天然气工艺集成与优化[J]. 化工进展, 2022, 41(3): 1677-1688.
ZHANG Y L, YE M, XIAO R, et al.Integration and optimization of a waste incineration power plant-power to gas hybrid system for SNG production[J]. Chemical industry and engineering progress, 2022, 41(3): 1677-1688.
[14] 李东森, 高赐威, 赵明. 计及电转气热回收的综合能源系统蓄热罐容量规划与运行策略[J]. 电力自动化设备, 2019, 39(8): 161-168.
LI D S, GAO C W, ZHAO M.Capacity planning and operating strategy of heat accumulator for integrated energy system considering heat recovery of power-to-gas[J]. Electric power automation equipment, 2019, 39(8): 161-168.
[15] 潘险险, 余梦泽, 隋宇, 等. 计及多关联因素的电力行业碳排放权分配方案[J]. 电力系统自动化, 2020, 44(1): 35-42.
PAN X X, YU M Z, SUI Y, et al.Allocation scheme of carbon emission rights for power industry considering multiple correlated factors[J]. Automation of electric power systems, 2020, 44(1): 35-42.
[16] 张晓辉, 刘小琰, 钟嘉庆. 考虑奖惩阶梯型碳交易和电-热转移负荷不确定性的综合能源系统规划[J]. 中国电机工程学报, 2020, 40(19): 6132-6142.
ZHANG X H, LIU X Y, ZHONG J Q.Integrated energy system planning considering a reward and punishment ladder-type carbon trading and electric-thermal transfer load uncertainty[J]. Proceedings of the CSEE, 2020, 40(19): 6132-6142.
[17] 瞿凯平, 黄琳妮, 余涛, 等. 碳交易机制下多区域综合能源系统的分散调度[J]. 中国电机工程学报, 2018, 38(3): 697-707.
QU K P, HUANG L N, YU T, et al.Decentralized dispatch of multi-area integrated energy systems with carbon trading[J]. Proceedings of the CSEE, 2018, 38(3): 697-707.
[18] CAO L H, WANG Z Z, PAN T Y, et al.Analysis on wind power accommodation ability and coal consumption of heat-power decoupling technologies for CHP units[J]. Energy, 2021, 231: 120833.
[19] 程杉, 黄天力, 魏荣宗. 含冰蓄冷空调的冷热电联供型微网多时间尺度优化调度[J]. 电力系统自动化, 2019, 43(5): 30-38.
CHENG S, HUANG T L, WAI R Z.Multi-time-scale optimal scheduling of CCHP microgrid with ice-storage air-conditioning[J]. Automation of electric power systems, 2019, 43(5): 30-38.
[20] CHEN J J, QI B X, RONG Z K, et al.Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement[J]. Energy, 2021, 217: 119387.
[21] 赵洪斌. 多时间尺度下基于相关系数的光伏电站出力特性分析[J]. 青海大学学报, 2020, 38(5): 60-65.
ZHAO H B.Analysis on the output characteristics of photovoltaic power station based on the correlation coefficient over multiple time scales[J]. Journal of Qinghai University, 2020, 38(5): 60-65.
[22] 韩宏志, 杨洋, 郜宁, 等. 基于正态分布的典型负荷日拟合方法[J]. 分布式能源, 2020, 5(4): 69-73.
HAN H Z, YANG Y, GAO N, et al.Fitting method of typical daily load based on normal distribution[J]. Distributed energy, 2020, 5(4): 69-73.
[23] 李婉婷, 臧传治, 刘鼎, 等. 基于多目标两阶段随机规划方法的电热联合系统调度[J]. 信息与控制, 2022, 51(2): 176-187.
LI W T, ZANG C Z, LIU D, et al.Electric and heating combined system dispatch based on multi-objective and two-stage stochastic programming method[J]. Information and control, 2022, 51(2): 176-187.
[24] 雷宇, 杨明, 韩学山. 基于场景分析的含风电系统机组组合的两阶段随机优化[J]. 电力系统保护与控制, 2012, 40(23): 58-67.
LEI Y, YANG M, HAN X S.A two-stage stochastic optimization of unit commitment considering wind power based on scenario analysis[J]. Power system protection and control, 2012, 40(23): 58-67.