A COLLABORATIVE OPTIMIZATION MODEL FOR INTERACTIVE RESPONSE OF COOLING, HEATING, AND ELECTRIC FLEXIBLE LOADS IN NEAR ZERO CARBON PARKS

Liu Guowei,∗ Dai Hao,∗ Wu Jiekang,∗∗ Kan Dongwang,∗∗ Deng Hao,∗ and Wang Liming∗∗∗

References

  1. [1] K. Majumdar, P.K. Roy, and S. Banerjee, Framework ofhybrid renewable energy with conventional power generationscheduling using novel metaheuristic optimization algorithm,International Journal of Power and Energy Systems, 42(10),2022, 1–11.
  2. [2] W. Mao, S. Yang, and X. Gao, Modelling and optimization ofgreen energy systems based on complementary integration ofrenewable energy, International Journal of Power and EnergySystems, 44(10), 2024, 1–9.
  3. [3] J. Wang, L. Valentin, C. Bovo, N. Xie, and Y. Wang, Optimalself-scheduling for a multi-energy virtual power plant providingenergy and reserve services under a holistic market framework,Energy, 278, 2023, 127903
  4. [4] Y. Li, S. Miao, S. Zhang, B. Yin, X. Luo, M. Dooner, and J.Wang. A reserve capacity model of AA-CAES for power systemoptimal joint energy and reserve scheduling, InternationalJournal of Electrical Power & Energy Systems, 104, 2019,279–290
  5. [5] S. Zalzar, E. Bompard, A. Purvins, and M. Masera, Theimpacts of an integrated European adjustment market forelectric under high share of renewables, Energy Policy, 136,2020, 111055
  6. [6] Z. Guoguang, Problem identification and key measures tosupport the achievement of carbon peak and carbon neutrality,Electric Power, 56(11), 2023, 1–8
  7. [7] Q. Ziqing, Study on the Modeling and Optimization Methodsfor the Selection of Electricity Substitution Technologies,Dissertation Submitted to Shanghai Jiao Tong University,Shanghai, 2016.
  8. [8] Z. Haoran, Optimal Configuration of Hybrid Heat-ElectricityCom-Plementary Heating System Oriented to Electricity Sub-stitution, Ph.D. Dissertation, Zhejiang University, Hangzhou,2022.
  9. [9] J. Zhang, H. Li, W. Li, H. Zhang, and B. Wang, Discussionon the pathways of China’s electrification polices to pursuethe carbon neutralization target, Electric Power Construction,43(9), 2022, 47–53
  10. [10] Y. Liang, Research on potential forecasting and optimisationmanagement of electric energy substitution in Beijing-Tianjin-Hebei Region, Ph.D. dissertation, North China Electric PowerUniversity, Beijing, 2019.
  11. [11] H. Chen, S. Liu, and Y. Kuang Decomposition analysis onfactors affecting electric energy replacement in Guangdongprovince, China, IET Cyber-Physical Systems: Theory &Applications, 2023, (in press).
  12. [12] W. Meng, G. Kiesewetter, S. Zhang, W. Sch¨opp, P. Rafaj,Z. Klimont, and S. Tao, Costs and benefits of householdfuel policies and alternative strategies in the Jing-Jin-JiRegion, Environmental Science & Technology, 57, 2023,21662–21672.
  13. [13] W. Guan, The study on the comprehensive benefits analysis andoptimisation model for electric power alternative consideringgeneration side and customer side, Ph.D. dissertation, NorthChina Electric Power University, Baoding, 2017.
  14. [14] J. Shenyu, Research on the impact of emerging electric powersubstitution on power grid, Ph.D. dissertation, North ChinaElectric Power University, Baoding, 2019.
  15. [15] W. Yanqing, W. Xiao, and C. Ruochen, Charging guidancestrategy of traveling electric vehicle considering the operationsafety of distribution network, High Voltage Engineering, 49(5),2023, 2131–2139.
  16. [16] L. Ran, M. Huizhuo, and Z. Jinyao, Multi-objectiveoptimization for DG integration into distribution system.Electric Power Automation device, 34(1), 2014, 6–13.
  17. [17] Y. Xiangwu, W. Qingao, and L. Junda, Microgrid energyscheduling with electric vehicles and flexible loads, PowerSystem Protection and Control, 51(17), 2023, 69–79.
  18. [18] M.A. Yue, M. Runquan, and L.I. Tingting, Robust OptimalDispatch of Microgrid Considering Flexible Loads andStep Carbon Trading, Modern Electric Power, 41, 2024,258–268.
  19. [19] Z. Xinhe, X. Junjie, and H. Guixiong, Economical andoptimal operation of rural electric heating multi-energy systemconsidering flexible load, Global Energy Interconnection, 6(5),2023, 501–511
  20. [20] C. Zhou, J. Zheng, and S. Liu, Operation optimization of multi-district integrated energy system considering flexible demandresponse of electric and heating loads, Energies, 12(20), 2019,3831
  21. [21] Z. Xiaoxun, L. Zhantian, and X. Jinfei, Optimal scheduling ofintegrated energy system with flexible load participation, ActaEnergiae Solaris Sinica, 44(9), 2023, 29–38
  22. [22] C. Yiming, S. Xuan, and P. Zhiyong, Carbon emissionaccounting and low-carbon path development of typicalindustrial parks in Jiangsu province, The Administration andTechnique of Environmental Monitoring, 35(6), 2023, 1–4
  23. [23] L. Yi, X. Wenjun, and T. Linlin, Research on the water networkoptimization of industrial parks under low-carbon constraints,Environmental Engineering, 41(11), 2023, 154–159
  24. [24] L. Ronghui, L. Zilin, and Y. Xiu, Optimal dispatch ofcommunity integrated energy system considering user-sideflexible load, Acta Energiae Solaris Sinica, 40(10), 2019,2842–2850
  25. [25] Y. Wang, Y. Wang, and Y. Huang, Optimal scheduling ofthe regional integrated energy system considering economyand environment, IEEE Transactions on Sustainable Energy,10(4), 2019, 1939–19495
  26. [26] J. Hu, Y. Wang, and L. Dong, Low carbon-oriented planningof shared energy storage station for multiple integrated energysystems considering energy-carbon flow and carbon emissionreduction, Energy, 290, 2024,1–15
  27. [27] H. Wentao, W. Xiaobo, and T. Nengling, An energy cascadeutilization method for microgrid with heat and power system,Proceedings of the CSEE, 40(21), 2020, 6804–6815
  28. [28] S. Chuan, W. Longjun, and X. Hailin, An interaction loadmodel and its application in microgrid day-ahead economicscheduling, Power System Technology, 40(7), 2016, 2009–2016
  29. [29] M. Farivar and S.H. Low, Branch flow model: Relaxations andconvexification—Part I, IEEE Transactions on Power Systems,28(3), 2013, 2554–2564
  30. [30] S. Geng, D. Niu, X. Guo, M. Chen, and C.X. Tan,Multi-objective evolutionary game of micro energy gridconsidering multi-energy flexible load scheduling, ElectricPower Construction, 41(11), 2020, 101–115
  31. [31] Z. Zhenyu and L. Xia, Optimal allocation of the flexibleresources for park-level electric heating integrated energysystem considering demand response, Modern Electric Power,41(12), 2023, 1–11
  32. [32] Z. Luo, J. Geng, and B. Li, Distributionally robust optimaldispatching for virtual power plants considering carbon-greencertificate trading mechanism, Electric Power Construction,44(10), 2023, 137–148
  33. [33] L. Zhao, Energy Optimization Management of CCHPMicrogrid, Ph.D. Dissertation, Southeast University, Dhaka,2017.
  34. [34] X. Zhou, S. Yonghui, X. Dongliang, W. Jianxi, and Z.Yongjie, Optimal configuration of energy storage for integratedregion energy system considering power/heating flexible load,Automation of Electric Power Systems, 44(2), 2020, 53–59
  35. [35] W.J. Chen, G.Y. Li, T.C. Zhang, M. Zhou, and J. Wang,A scheduling approach for fuel-cell hybrid electric vehiclefleets considering carbon allowance trading, Power SystemTechnology, 47(8), 2023, 3069–3079
  36. [36] L. Hu, Evaluation of Carbon Resources in Shenzhen City,Master’s Thesis,. Jilin University, Changchun, 2017
  37. [37] Shenzhen Graduate School of Harbin Institute of Technology,Cushman&Wakefield Real Estate Consulting Co., Ltd.,Shenzhen Urban Planning and Design Institute (2011) Outlineof the Overall Development Plan for Shenzhen InternationalLow Carbon City. China Opening Journal, (S1):70-95

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