Optimal scheduling of integrated energy systems based on NSGA-Ⅱ-WPA

doi:10.3969/j.issn.2097-0706.2024.04.001

Abstract

Abstract:

Since the optimal scheduling on integrated energy systems （IES） with complex multi-energy flows can hardly balance the economy and low-carbon operation， an NSGA-Ⅱ-WPA algorithm based on non-dominant genetic algorithm （NSGA-Ⅱ） and wolf pack algorithm （WPA） is proposed. The proposed algorithm can realize the multi-objective optimization. Firstly， an IES scheduling model of strong coupling relationship is established considering the characteristics of the IES with multi-energy flows which integrates a power supply subsystem， a heat supply subsystem and a cooling supply subsystem. Secondly， the basic IES operation strategies are designed which includes the battery storage operation strategy under real-time pricing mechanism， layered energy supply strategy and carbon emission trading strategy. The strategies aim to realize the collaborative control optimization on the IES influenced by the multiple factors. Finally， the multi-objective optimization for the IES with multi-energy flows is completed based on the NNSGA-Ⅱ-WPA algorithm. The operational cost and carbon emissions of the IES are evaluated by simulation experiments， and the experimental results prove that the improvement on comprehensive energy efficiency of the IES provided by the proposed algorithm is better than that by NSGA-Ⅱ algorithm.

Key words: integrated energy system, NSGA-Ⅱ, WPA, Pareto frontier, energy storage of batteries, carbon emission trading, optimal scheduling

CLC Number:

TK019

LI Yun, ZHOU Shijie, HU Zheqian, LIANG Junyuan, XIAO Leiming. Optimal scheduling of integrated energy systems based on NSGA-Ⅱ-WPA[J]. Integrated Intelligent Energy, 2024, 46(4): 1-9.

Figures/Tables 11

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Table 1

References 31

[1]	胡志坚, 刘如, 陈志. 中国“碳中和”承诺下技术生态化发展战略思考[J]. 中国科技论坛, 2021(5):14-20.
	HU Zhijian, LIU Ru, CHEN Zhi. The Ecological development strategy of technology under the commitment of "carbon neutrality" in China[J]. China Science and Technology Forum, 2021(5): 14-20.
[2]	CHEN Y B, ZHANG Z, CHEN H, et al. Robust UC model based on multi-band uncertainty set considering the temporal correlation of wind/load prediction errors[J]. IET Generation, Transmission & Distribution, 2020, 14(2):180-190. doi: 10.1049/gtd2.v14.2
[3]	YOU F, ZHANG N, LIU G C. Optimal Scheduling of integrated energy system based on NSGA-II-MOABC[C]// International Conference on Power and Energy Technology. 2022:1175-1180.
[4]	邢家维, 孙树敏, 程艳, 等. 综合能源系统多能流建模和仿真技术综述[J]. 山东电力技术, 2022, 49(6):1-7.
	XING Jiawei, SUN Shumin, CHENG Yan, et al. Review on multi-energy system flow modeling and simulation technology for integrated energy system[J]. Shandong Electric Power, 2022, 49(6):1-7.
[5]	刁涵彬, 李培强, 王继飞, 等. 考虑电/热储能互补协调的综合能源系统优化调度[J]. 电工技术学报, 2020, 35(21):4532-4543.
	DIAO Hanbin, LI Peiqiang, WANG Jifei, et al. Optimal scheduling of integrated energy system considering the complementary coordination of electric and thermal energy storage[J]. Transactions of China Electrotechnical Society, 2020, 35(21): 4532-4543.
[6]	ZHOU X, MA Z J, ZOU S L, et al. Consensus-based distributed economic dispatch for multi micro energy grid systems under coupled carbon emissions[J]. Applied Energy, 2022, 324:119641. doi: 10.1016/j.apenergy.2022.119641
[7]	XIE H, XU Z H, WANG W. Optimal dispatching strategy for integrated energy system with electricity-heat-cold-hydrogen[C]// 2022 IEEE 5th International Electrical and Energy Conference. 2022:3132-3136.
[8]	WANG L Y, LIN J L, DONG H Q, et al. Demand response comprehensive incentive mechanism-based multi-time scale optimization scheduling for park integrated energy system[J]. Energy, 2023, 270:126893. doi: 10.1016/j.energy.2023.126893
[9]	TIAN L, CHENG L, GUO J, et al. System modeling and optimal dispatching of multi-energy microgrid with energy storage[J]. Journal of Modern Power Systems and Clean Energy, 2020, 8(5):809-819. doi: 10.35833/MPCE.2020.000118
[10]	GUO Z J, WEI W, SHAHIDEHPOUR M, et al. Two-timescale dynamic energy and reserve dispatch with wind power and energy storage[J]. IEEE Transactions on Sustainable Energy, 2022, 14(1):490-503. doi: 10.1109/TSTE.2022.3217173
[11]	GUO R, YE H W, ZHAO Y. Low carbon dispatch of electricity-gas-thermal-storage integrated energy system based on stepped carbon trading[J]. Energy Reports, 2022, 8:449-455.
[12]	ZHANG F F, WANG Y Q, HUANG D, et al. Integrated energy system region model with renewable energy and optimal control method[J]. Frontiers in Energy Research, 2022,10:1-17.
[13]	YANG D F, XU Y, LIU X J, et al. Economic-emission dispatch problem in integrated electricity and heat system considering multi-energy demand response and carbon capture technologies[J]. Energy, 2022, 253:124153. doi: 10.1016/j.energy.2022.124153
[14]	LI F, LI X S, ZHANG B Q, et al. Multi objective optimization configuration of a prosumer's energy storage system based on an improved fast nondominated sorting genetic algorithm[J]. IEEE Access, 2021, 9:27015-27025. doi: 10.1109/Access.6287639
[15]	刘聪, 费炜, 胡胜. 狼群算法的研究与应用综述[J]. 科学技术与工程, 2020, 20(9):3378-3386.
	LIU Cong, FEI Wei, HU Sheng. Research and application of wolf pack algorithm[J]. Science Technology and Engineering, 2020, 20(9): 3378-3386.
[16]	LIU Y C, ĆETENOVIĆ D, LI H Y, et al. An optimized multi-objective reactive power dispatch strategy based on improved genetic algorithm for wind power integrated systems[J]. International Journal of Electrical Power & Energy Systems, 2022, 136:107764. doi: 10.1016/j.ijepes.2021.107764
[17]	王灿, 张羽, 田福银, 等. 基于双向主从博弈的储能电站与综合能源系统经济运行策略[J]. 电工技术学报, 2023, 38(13):3436-3446,3472.
	WANG Can, ZHANG Yu, TIAN Fuyin, et al. Economic operation strategy of energy storage power station and integrated energy system based on two-way principal-agent game[J]. Transactions of the Chinese Electrotechnical Society, 2023, 38(13):3436-3446,3472.
[18]	杜预则, 董海鹰. 基于主从博弈的储能电站协同源荷消纳新能源调控策略[J/OL]. 综合智慧能源, 2023:1-9(2023-05-12)[2023-10-05].https://doi.org/10.3969/j.issn.2097-0706.2023.11.001.
	DU Yuze, DONG Haiying. Research on the source-load-storage collaborative scheduling strategy for new energy accommodation based on Stackelberg game[J/OL]. Integrated Intelligent Energy, 2023:1-9(2023-05-12)[2023-10-05].https://doi.org/10.3969/j.issn.2097-0706.2023.11.001.
[19]	雷霆, 彭昊宇. 基于概率模型集成的含云储能多微电网市场主从博弈优化调度[J/OL]. 现代电力, 2023:1-11(2023-09-07)[2023-10-05].https://doi.org/10.19725/j.cnki.1007-2322.2023.0096.
	LEI Ting, PENG Haoyu. Optimized scheduling of cloud-based energy storage multi-microgrid market based on probabilistic model ensemble[J/OL]. Modern Power, 2023:1-11(2023-09-07)[2023-10-05]. https://doi.org/10.19725/j.cnki.1007-2322.2023.0096.
[20]	王芸芸, 马志程, 周强, 等. 计及公平性的多能合作博弈鲁棒优化调度[J]. 综合智慧能源, 2023, 45(2): 10-21. doi: 10.3969/j.issn.2097-0706.2023.02.002
	WANG Yunyun, MA Zhicheng, ZHOU Qiang, et al. Robust optimal scheduling of multi-energy cooperative game considering fairness[J]. Integrated Intelligent Energy, 2023, 45(2): 10-21. doi: 10.3969/j.issn.2097-0706.2023.02.002
[21]	许梓荣, 刘友波, 殷科, 等. 基于主从博弈的售电商储能增值服务模式及其策略模型[J]. 电力系统自动化, 2023, 47(20):154-165.
	XU Zirong, LIU Youbo, YIN Ke, et al. The value-added service model and strategy model of energy storage for power sellers based on the principal-agent game[J]. Automation of Electric Power Systems, 2023, 47(20): 154-165.
[22]	梅文卿, 刘晓峰, 王嘉诚, 等. 基于势博弈的负荷聚合商日前市场动态定价模型[J/OL]. 综合智慧能源, 2023:1-8(2023-08-24)[2023-10-05].https://doi.org/10.3969/j.issn.2097-0706.2023.11.008.
	MEI Wenqing, LIU Xiaofeng, WANG Jiacheng, et al. A day-ahead market pricing model for load aggregators based on potential game[J/OL]. Integrated Intelligent Energy, 2023:1-8(2023-08-24)[2023-10-05].https://doi.org/10.3969/j.issn.2097-0706.2023.11.008.
[23]	郑成浩, 张潇, 苏岭东, 等. 碳排放交易机制下的综合能源系统低碳经济运行控制策略[J]. 电工技术, 2023(14):10-15,20.
	ZHENG Chenghao, ZHANG Xiao, SU Lingdong, et al. Low-carbon economic operation control strategy of integrated energy system under the carbon emissions trading scheme[J]. Electric Engineering, 2023(14): 10-15,20.
[24]	杜先波, 陶苏朦, 刘述波, 等. 综合能源系统日前-日内多目标优化控制策略[J]. 电测与仪表, 2020, 57(16):109-117.
	DU Xianbo, TAO Sumeng, LIU Shubo, et al. Day-ahead and intraday optimal control strategies of integrated energy system considering multiple objectives[J]. Electrical Measurement & Instrumentation, 2020, 57(16):109-117.
[25]	欧阳婷, 蔡晔, 王炜宇, 等. 计及风电、光伏预测不确定性的抽水蓄能日前全调度优化[J]. 综合智慧能源, 2022, 44(11): 20-27. doi: 10.3969/j.issn.2097-0706.2022.11.003
	OUYANG Ting, CAI Ye, WANG Weiyu, et al. Overall day-ahead scheduling optimization for pumped-storage power stations considering the uncertainty of wind and photovoltaic power prediction[J]. Integrated Intelligent Energy, 2022, 44(11): 20-27. doi: 10.3969/j.issn.2097-0706.2022.11.003
[26]	PAN C Y, FAN H T, ZHANG R X, et al. An improved multi-timescale coordinated control strategy for an integrated energy system with a hybrid energy storage system[J]. Applied Energy, 2023, 343: 121137. doi: 10.1016/j.apenergy.2023.121137
[27]	LI P, JIANG L, WANG J H, et al. A model-free optimal operation strategy of diversified demands-park integrated energy system considering energy cascade utilization[J]. International Journal of Electrical Power & Energy Systems, 2024, 155: 109518. doi: 10.1016/j.ijepes.2023.109518
[28]	LIU D W, LUO Z, QIN J H, et al. Low-carbon dispatch of multi-district integrated energy systems considering carbon emission trading and green certificate trading[J]. Renewable Energy, 2023, 218: 119312. doi: 10.1016/j.renene.2023.119312
[29]	江训谱, 吕施霖, 王健, 等. 考虑阶梯碳交易和最优建设时序的园区综合能源系统规划[J]. 电测与仪表, 2023, 60(12):11-19.
	JIANG Xunpu, LYU Shilin, WANG Jian, et al. Park-level integrated energy system planning considering tiered carbon trading and optimal construction timing[J]. Electrical Measurement & Instrumentation, 2023, 60(12): 11-19.
[30]	葛磊蛟, 于惟坤, 朱若源, 等. 考虑改进阶梯式碳交易机制与需求响应的综合能源系统优化调度[J]. 综合智慧能源, 2023, 45(7): 97-106. doi: 10.3969/j.issn.2097-0706.2023.07.011
	GE Leijiao, YU Weikun, ZHU Ruoyuan, et al. Integrated energy system optimization scheduling considering improved stepped carbon trading mechanism and demand responses[J]. Integrated Intelligent Energy, 2023, 45(7): 97-106. doi: 10.3969/j.issn.2097-0706.2023.07.011
[31]	ZHANG M J, YANG J H, YU P S, et al. Dual-stackelberg game-based trading in community integrated energy system considering uncertain demand response and carbon trading[J]. Sustainable Cities and Society, 2024, 101:105088. doi: 10.1016/j.scs.2023.105088

算法	最低采购成本/元	最小碳排放量/kg
NSGA-Ⅱ-WPA	359.098	14.83
NSGA-Ⅱ	368.767	16.35