Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
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Xiaoou Liu
Abstract
With the deepening of multi-energy flow coupling and the diversification of energy utilization demand, integrated energy system (IES) puts forward higher requirements for the economy and reliability of capacity allocation scheme. However, there is a complex relationship between economy and reliability, which makes it difficult for them to achieve coordinated optimization. Therefore, an economic and reliability optimal capacity allocation method of IES based on improved co-evolution algorithm is proposed. Firstly, the timing scenario reduction method of “wind power-electrical load” based on ordered clustering algorithm and K-means clustering algorithm is proposed. Aiming at minimizing the expected annual cost of construction investment, operation and maintenance, carbon emission and energy purchase cost, and constrained by equipment operation and energy flow balance, a multi-scenario economic operation model is constructed. Considering the dissatisfaction degree of comprehensive energy consumption, the energy supply reliability evaluation model based on Markov chain Monte Carlo (MCMC) method is established. On this basis, the IES multi-objective optimal capacity allocation model is established. Further, based on the orthogonal test method, the influence factors of decision variables on IES economy and reliability are calculated, and the evolution subpopulation of economy and reliability is established, and then the optimization model’s solution method based on improved co-evolution algorithm is proposed. Finally, an example simulation analysis is carried out combined with the actual data of a certain region. The simulation results show that the proposed model can cooperatively improve the economy and reliability of IES capacity allocation scheme, and provide a reference for the optimal capacity allocation of equipment in IES.
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Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.
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Research funding: None declared.
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Conflict of interest: The authors have no conflicts to disclose.
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Data availability: The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
1. Jia, H, Mu, Y, Yu, X. Thought about the integrated energy system in China. Electric Power Construction 2015;36:16–25.Suche in Google Scholar
2. Yin, B, Miao, S, Li, Y, Zhang, S, Wang, J. Study on the economic analysis method of advanced adiabatic compressed air energy storage in integrated energy system. Trans China Electrotech Soc 2020;35:4062–75.Suche in Google Scholar
3. Huang, Z, He, G, Yan, H, Tang, Y. Overview and prospect of optimization model function for community scale integrated energy system. Electric Power Automation Equipment 2020;40:10–8.Suche in Google Scholar
4. Unsihuay, C, Marangon, L, Souza, A, Perez, A, Balestrassi, P. A model to long-term, multiarea, multistage, and integrated expansion planning of electricity and natural gas systems. IEEE Trans Power Syst 2010;25:1154–68. https://doi.org/10.1109/tpwrs.2009.2036797.Suche in Google Scholar
5. Li, Z, Wang, C, Liang, J, Zhao, P, Zhang, Z. Expansion planning method of integrated energy system considering uncertainty of wind power. Power Syst Technol 2018;42:3477–87.Suche in Google Scholar
6. Liu, D, Wu, J, Lin, K, Li, D, Gong, T. A planning method of integrated energy system based on Kriging model. Power Syst Technol 2019;43:185–92.Suche in Google Scholar
7. Sun, Q, Gao, S, Xie, D, Chen, J, Chen, Q. Optimized planning of integrated energy system in the park coordinating reliability and economics. Proc CSU-EPSA 2020;32:76–82.Suche in Google Scholar
8. Du, L, Sun, L, Chen, H. Multi-index evaluation of integrated energy system with P2G planning. Electric Power Automation Equipment 2017;37:110–6.Suche in Google Scholar
9. He, H. A two-stage planning study for a regional integrated energy system taking into account landscape consumption[D]. Xi’an: Xi’an University of Technology, 2020.Suche in Google Scholar
10. Liu, Z, Yu, H, Liu, R, Wang, M, Li, C. Configuration optimization model for data-center-park-integrated energy systems under economic, reliability, and environmental considerations. Energies 2020;13:448. https://doi.org/10.3390/en13020448.Suche in Google Scholar
11. National Energy Administration. The National Energy Administration informed the national power safety production in 2020, and the measures for supervision and administration of power reliability will be promulgated in 2021. [EB/OL]. [2021-03-18]. http:∥shupeidian.bjx.com.cn/html/20210120/1131040.shtml.Suche in Google Scholar
12. Chen, W, Mu, Y, Jia, H, Wei, W, He, W. Operation optimization method for regional integrated energy system that considers part-load performances of devices. Power Syst Technol 2021;45:951–8.Suche in Google Scholar
13. Liu, H, Wang, Y, Li, J, Ge, S, Li, J, Li, S. Coordinated heat and power dispatch of micro-energy network of country side considering heat balance model of building and flexible indoor comfort constraint. Auto Electr Power Syst 2019;43:50–8.Suche in Google Scholar
14. Zhou, R, Xiao, J, Tang, X, Zheng, Q, Jia, L, Cao, J. Coordinated optimization of carbon utilization between power-to-gas renewable energy accommodation and carbon capture power plant. Electric Power Automation Equipment 2018;38:61–7.Suche in Google Scholar
15. Li, D, Gao, C, Zhao, M. Capacity planning and operating strategy of heat accumulator for integrated energy system considering heat recovery of power-to-gas. Electric Power Automation Equipment 2019;39:161–8.Suche in Google Scholar
16. Götz, M, Lefebvre, J, Mörs, F, McDaniel, A, Graf, F, Bajohr, S, et al.. Renewable power-to-gas: a technological and economic review. Renew Energy 2016;85:1371–90.10.1016/j.renene.2015.07.066Suche in Google Scholar
17. Hong, S, Cheng, H, Zeng, P, Huang, L. Joint expansion planning of power generation and transmission based on relevant scene clustering. Power System Automation 2016;40:71–6,92.Suche in Google Scholar
18. Ding, M, Xie, J, Liu, X, Shi, W. Generation method and application of wind resources/load typical scene set for wind power acceptance capacity evaluation. J China Electr Eng 2016;36:4064–72.Suche in Google Scholar
19. Liu, J, Liu, J, Huang, Y, Liu, Y, Gao, H, Zhuang, D, et al.. Dimension reduction technology of active distribution network planning scenario based on ordered clustering of panel data. Power Grid Technol 2017;41:1132–8.Suche in Google Scholar
20. Li, W, Yan, S, Jiang, Y, Zhang, S, Wang, C. Research on adaptive algorithm for determining DBSCAN parameters. Comput Eng Appl 2019;55:1–7,148.Suche in Google Scholar
21. Wu, X, Wang, X, Li, J, Guo, J, Chen, J. Joint dispatch model and solution of wind power and energy storage hybrid system. Proc Chin Soc Electr Eng 2013;33:10–7.Suche in Google Scholar
22. Zhang, C-S, Sun, J-G, Cui, Y, Yang, F-Q. PSO based partitional clustering algorithm. J Jilin Univ (Eng Technol Ed) 2008;38:1371–7.Suche in Google Scholar
23. Wang, C, Hong, B, Guo, L, Zhang, D, Liu, W. A general modeling method for optimal dispatch of combined cooling, heating and power microgrid. Proc CSEE 2013;33:26–33.Suche in Google Scholar
24. Shi, W, Bie, Z, Wang, X. Applications of Markov chain Monte Carlo in large-scale system reliability evaluation. Proc CSEE 2008;28:9–15.Suche in Google Scholar
25. Zhu, X, Wang, Y, Jin, H, Huang, J. Reliability evaluation of photovoltaic power plant based on Markov chain Monte Carlo method. High Volt Eng 2017;43:1034–42.Suche in Google Scholar
26. Wang, J, Fu, C, Yang, K. Reliability and availability analysis of redundant BCHP (building cooling, heating and power) system. Energy 2013;61:531–40. https://doi.org/10.1016/j.energy.2013.09.018.Suche in Google Scholar
27. Liu, R, Zhang, Y, Wen, C, Tang, J. Study on the design and analysis methods of orthogonal experiment. Exp Technol Manag 2010;27:52–5.Suche in Google Scholar
28. Li, Nan. Research and application of coevolutionary algorithm based on evolutionary game theory[D]. Beijing: North China Electric Power University; 2011.Suche in Google Scholar
29. Yanjie, Z, Kap, H. A game theoretic model and a coevolutionary solution procedure to determine the terminal handling charges for container terminals. Comput Ind Eng 2020;144:106466.10.1016/j.cie.2020.106466Suche in Google Scholar
30. Store, R, Price, K. Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J Global Optim 1997;11:341–59.10.1023/A:1008202821328Suche in Google Scholar
31. Guo, Z, Li, G, Zhou, M, Li, Z. Optimal operation of energy hub in business park considering integrated demand response. Power Syst Technol 2018;42:2439–48.Suche in Google Scholar
© 2022 Walter de Gruyter GmbH, Berlin/Boston
Artikel in diesem Heft
- Frontmatter
- Review
- Offshore wind transmission in the United States. A collectivist culture versus Europe’s individualistic approach?
- Research Articles
- Electrical design analyses studies on ultra high voltage air insulated surge arresters
- An enhanced implementation of SRF and DDSRF-PLL for three-phase converters in weak grid
- Optimal design, techno-economic and sensitivity analysis of a grid-connected hybrid renewable energy system: a case study
- Adaptive power management algorithm for multi-source DC microgrid system
- Pre-and post-disturbance transient stability assessment using intelligent systems via quick estimating of the critical clearing time
- Thermal ageing performance evaluation of TUK and Nomex-910 papers in natural monoesters
- Oil temperature prediction of power transformers based on modified support vector regression machine
- Parameter optimization of PV integrated Shunt Active power filter with Taguchi SNR
- Seven level aligned multilevel inverter with new SPWM technique for PV, wind, battery-based hybrid standalone system
- Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
Artikel in diesem Heft
- Frontmatter
- Review
- Offshore wind transmission in the United States. A collectivist culture versus Europe’s individualistic approach?
- Research Articles
- Electrical design analyses studies on ultra high voltage air insulated surge arresters
- An enhanced implementation of SRF and DDSRF-PLL for three-phase converters in weak grid
- Optimal design, techno-economic and sensitivity analysis of a grid-connected hybrid renewable energy system: a case study
- Adaptive power management algorithm for multi-source DC microgrid system
- Pre-and post-disturbance transient stability assessment using intelligent systems via quick estimating of the critical clearing time
- Thermal ageing performance evaluation of TUK and Nomex-910 papers in natural monoesters
- Oil temperature prediction of power transformers based on modified support vector regression machine
- Parameter optimization of PV integrated Shunt Active power filter with Taguchi SNR
- Seven level aligned multilevel inverter with new SPWM technique for PV, wind, battery-based hybrid standalone system
- Multi-objective optimal capacity allocation of integrated energy system with co-evolution mechanism
