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The P2P Energy Management Scheme for Integrated Energy Microgrid Considering P2G and Electricity Network Fee | ||
International Journal of Industrial Electronics Control and Optimization | ||
مقاله 1، دوره 8، شماره 1، خرداد 2025، صفحه 1-23 اصل مقاله (2.44 M) | ||
نوع مقاله: Research Articles | ||
شناسه دیجیتال (DOI): 10.22111/ieco.2024.49044.1583 | ||
نویسندگان | ||
Meysam Feili؛ Mohammad Taghi Aameli* | ||
Department of Electrical Engineering, University of Shahid Beheshti, Tehran, Iran | ||
چکیده | ||
The prominent role of natural gas networks in mitigating the intermittency of renewable energy resources has highlighted the importance of integrated operation between electricity and gas grids. Additionally, energy storage systems, such as batteries and hydrogen, play a crucial role in power balancing and energy management. Previous research on the synergy between electricity and natural gas systems has primarily focused on the operational constraints of each grid. Only a few studies have explored market-driven models, such as peer-to-peer (P2P) energy trading, for the integrated operation of these networks. Furthermore, the limited studies that have implemented the peer-to-peer (P2P) market model for the integrated operation of power and natural gas grids have been conducted in two distinct phases: scheduling and trading. This paper introduces a stochastic P2P market-based optimization model for the coupled operation of natural gas and electricity grids, considering smart grid technologies such as power-to-gas (P2G) storage, batteries, and demand response (DR). Also, the presented framework incorporates alternating current (AC) power flow, natural gas steady-state model, and the power grid usage fee through the electrical distance model. The simulation results indicate that the proposed method significantly decreases total operating costs, reduces power losses, improves network component synergy, and enhances the performance of both networks. | ||
کلیدواژهها | ||
Natural gas network؛ MINLP optimization؛ AC power flow؛ Demand response؛ Peer-to-peer energy market | ||
مراجع | ||
[1] R. Zhang, S. Bu, and G. Li, "Multi-market P2P trading of cooling–heating-power-hydrogen integrated energy systems: An equilibrium-heuristic online prediction optimization approach," Applied Energy, vol. 367, p. 123352, 2024.
[2] J. Chen, B. Sun, Y. Li, R. Jing, Y. Zeng, and M. Li, "Credible capacity calculation method of distributed generation based on equal power supply reliability criterion," Renewable Energy, vol. 201, pp. 534-547, 2022. [3] Y. Shang, L. Zhu, F. Qian, and Y. Xie, "Role of green finance in renewable energy development in the tourism sector," Renewable Energy, vol. 206, pp. 890-896, 2023. [4] M. Feili and M. T. Ameli, "Integrated operation of gas and power system through the P2P market mechanism," IET Smart Grid, vol. 6, no. 4, pp. 359-379, 2023. [5] A. Masoudi, M. Simab, H. Akbarj, S. A. Saeed, and T. Daemi, "Maximizing the Electric Vehicles’ Owners Profit Considering Optimal Charging and Discharging Management in the Distribution Networks Using Dynamic Programming," International Journal of Industrial Electronics Control and Optimization, vol. 5, no. 2, pp. 109- 121, 2022. [6] M. F. Akorede, H. Hizam, and E. Pouresmaeil, "Distributed energy resources and benefits to the environment," Renewable and sustainable energy reviews, vol. 14, no. 2, pp. 724-734, 2010. [7] T. Cai, M. Dong, K. Chen, and T. Gong, "Methods of participating power spot market bidding and settlement for renewable energy systems," Energy Reports, vol. 8, pp. 7764-7772, 2022. [8] M. Shafiee, A.-A. Zamani, and M. Sajadinia, "Using improved DDAO algorithm to solve economic emission load dispatch problem in the presence of wind farms," International Journal of Industrial Electronics Control and Optimization, vol. 6, no. 3, pp. 161-169, 2023. [9] C. Wang, J. Wu, J. Ekanayake, and N. Jenkins, Smart electricity distribution networks. CRC Press, 2017. [10] M. Feili, M. T. Ameli, and M. Shafiekhah, "Coupled Energy Systems Operation Through MINLP Framework Considering Systems Constraints and Demand Response," in 2023 13th Smart Grid Conference (SGC), 2023: IEEE, pp. 1-8. [11] Z. Zhang, F. M. Altalbawy, M. Al-Bahrani, and Y. Riadi, "Regret-based multi-objective optimization of carbon capture facility in CHP-based microgrid with carbon dioxide cycling," Journal of Cleaner Production, vol. 384, p. 135632, 2023. [12] Y. Duan, Y. Zhao, and J. Hu, "An initialization-free distributed algorithm for dynamic economic dispatch problems in microgrid: Modeling, optimization and analysis," Sustainable Energy, Grids and Networks, p. 101004, 2023. [13] A. Taghieh, A. Mohammadzadeh, C. Zhang, N. Kausar, and O. Castillo, "A type-3 fuzzy control for current sharing and voltage balancing in microgrids," Applied Soft Computing, vol. 129, p. 109636, 2022. [14] Z. Shi, H. Liang, S. Huang, and V. Dinavahi, "Distributionally robust chance-constrained energy management for islanded microgrids," IEEE Transactions on Smart Grid, vol. 10, no. 2, pp. 2234-2244, 2018. [15] M. Ghiasi, Z. Wang, M. Mehrandezh, S. Jalilian, and N. Ghadimi, "Evolution of smart grids towards the Internet of energy: Concept and essential components for deep decarbonisation," IET Smart Grid, 2022. [16] Z. Shuai et al., "Microgrid stability: Classification and a review," Renewable and Sustainable Energy Reviews, vol. 58, pp. 167-179, 2016. [17] Y. Zahraoui, T. Korõtko, A. Rosin, T. E. K. Zidane, H. Agabus, and S. Mekhilef, "A Competitive Framework for The Participation Of Multi-Microgrids in The Community Energy Trading Market: A Case Study," IEEE Access, 2024. [18] M. Vosoogh, M. Rashidinejad, A. Abdollahi, and M. Ghaseminezhad, "Efficient networked microgrid management considering plug-in electric vehicles and storage units," International Journal of Industrial Electronics Control and Optimization, vol. 4, no. 2, pp. 245-255, 2021. [19] H. Mei, Y. Li, C. Suo, Y. Ma, and J. Lv, "Analyzing the impact of climate change on energy-economy-carbon nexus system in China," Applied Energy, vol. 262, p. 114568, 2020. [20] D. Forfia, M. Knight, and R. Melton, "The view from the top of the mountain: Building a community of practice with the gridwise transactive energy framework," IEEE Power and Energy Magazine, vol. 14, no. 3, pp. 25-33, 2016. [21] M. Feili and M. T. Ameli, "Integrated operation of gas and power system through the P2P market mechanism," IET Smart Grid, 2023. [22] B. Zheng, W. Wei, Y. Chen, Q. Wu, and S. Mei, "A peerto-peer energy trading market embedded with residential shared energy storage units," Applied Energy, vol. 308, p. 118400, 2022. [23] O. Jogunola et al., "Peer-to-Peer Local Energy Market: Opportunities, Barriers, Security and Implementation Options," IEEE Access, 2024. [24] R. Safipour and M. Oukati Sadegh, "Optimal Planning of energy storage systems using symbiotic organisms search algorithm," International Journal of Industrial Electronics Control and Optimization, vol. 1, no. 1, pp. 19-26, 2018. [25] Y. Meng, J. Qiu, C. Zhang, G. Lei, and J. Zhu, "A Holistic P2P market for active and reactive energy trading in VPPs considering both financial benefits and network constraints," Applied Energy, vol. 356, p. 122396, 2024. [26] J. Hao, T. Huang, Y. Sun, X. Zhan, Y. Zhang, and P. Wu, "Optimal Prosumer Operation with Consideration for Bounded Rationality in Peer-to-Peer Energy Trading Systems," Energies, vol. 17, no. 7, p. 1724, 2024. [27] A. Tiwari, B. K. Jha, and N. M. Pindoriya, "Multi-objective optimization based demand response program with network aware peer-to-peer energy sharing," International Journal of Electrical Power & Energy Systems, vol. 157, p. 109887, 2024. [28] X. Wang et al., "Congestion management under peer-topeer energy trading scheme among microgrids through cooperative game," Energy Reports, vol. 8, pp. 59-66, 2022. [29] J. L. Crespo-Vazquez, T. AlSkaif, Á. M. González-Rueda, and M. Gibescu, "A community-based energy market design using decentralized decision-making under uncertainty," IEEE Transactions on Smart Grid, vol. 12, no. 2, pp. 1782-1793, 2020. [30] G. Sun, J. Sun, S. Chen, Z. Wei, and H. Zang, "Marketbased coordination of regional electric and natural gas systems: A peer-to-peer energy trading model," CSEE Journal of Power and Energy Systems, 2022. [31] Z. Wang, X. Yu, Y. Mu, H. Jia, Q. Jiang, and X. Wang, "Peer-to-Peer energy trading strategy for energy balance service provider (EBSP) considering market elasticity in community microgrid," Applied Energy, vol. 303, p. 117596, 2021. [32] M. H. Ullah and J.-D. Park, "DLMP integrated P2P2G energy trading in distribution-level grid-interactive transactive energy systems," Applied Energy, vol. 312, p. 118592, 2022. [33] L. Ali, S. Muyeen, H. Bizhani, and A. Ghosh, "A multi‐objective optimization for planning of networked microgrid using a game theory for peer‐to‐peer energy trading scheme," IET Generation, Transmission & Distribution, vol. 15, no. 24, pp. 3423-3434, 2021. [34] K. Rowe, G. Mokryani, K. Cooke, F. Campean, and T. Chambers, "Bi-level optimal sizing, siting and operation of utility-scale multi-energy storage system to reduce power losses with peer-to-peer trading in an electricity/heat/gas integrated network," Journal of Energy Storage, vol. 83, p. 110738, 2024. [35] D. Peng, H. Xiao, W. Pei, H. Sun, and S. Ye, "A novel deep learning based peer‐to‐peer transaction method for prosumers under two‐stage market environment," IET Smart Grid, 2022. [36] N. Tarashandeh and A. Karimi, "Peer-to-peer energy trading under distribution network constraints with preserving independent nature of agents," Applied Energy, vol. 355, p. 122240, 2024. [37] W. Tushar et al., "A coalition formation game framework for peer-to-peer energy trading," Applied Energy, vol. 261, p. 114436, 2020. [38] C. Wang, W. Wei, J. Wang, F. Liu, and S. Mei, "Strategic offering and equilibrium in coupled gas and electricity markets," IEEE Transactions on Power Systems, vol. 33, no. 1, pp. 290-306, 2017. [39] M. Niu, C. Gao, G. Muñoz-Delgado, and J. Contreras, "A cross-carrier multilateral trading model for integrated electricity and natural gas systems," Applied Energy, vol. 354, p. 122064, 2024. [40] A. G. Daryan, A. Sheikhi, and A. A. Zadeh, "Peer-to-Peer Energy sharing Among Smart Energy Hubs in an integrated Heat-Electricity Network," Electric Power Systems Research, vol. 206, p. 107726, 2022. [41] S. Ge, J. Li, X. He, and H. Liu, "Joint energy market design for local integrated energy system service procurement considering demand flexibility," Applied Energy, vol. 297, p. 117060, 2021. [42] M. I. Azim, W. Tushar, and T. K. Saha, "Coalition graph game-based P2P energy trading with local voltage management," IEEE Transactions on Smart Grid, vol. 12, no. 5, pp. 4389-4402, 2021. [43] T. Lu, Z. Wang, Q. Ai, and W.-J. Lee, "Interactive model for energy management of clustered microgrids," IEEE Transactions on Industry Applications, vol. 53, no. 3, pp. 1739-1750, 2017. [44] K. Wang et al., "Embedding P2P transaction into demand response exchange: A cooperative demand response management framework for IES," Applied Energy, vol. 367, p. 123319, 2024. [45] A. Basnet and J. Zhong, "Integrating gas energy storage system in a peer-to-peer community energy market for enhanced operation," International Journal of Electrical Power & Energy Systems, vol. 118, p. 105789, 2020. [46] N. Wang, Z. Liu, P. Heijnen, and M. Warnier, "A peer-topeer market mechanism incorporating multi-energy coupling and cooperative behaviors," Applied Energy, vol. 311, p. 118572, 2022. [47] W. Zhou, Y. Wang, F. Peng, Y. Liu, H. Sun, and Y. Cong, "Distribution network congestion management considering time sequence of peer-to-peer energy trading," International Journal of Electrical Power & Energy Systems, vol. 136, p. 107646, 2022. [48] Y. Chen, W. Wei, F. Liu, and S. Mei, "A multi-lateral trading model for coupled gas-heat-power energy networks," Applied energy, vol. 200, pp. 180-191, 2017. [49] H. Wang, C. Wang, M. Q. Khan, G. Zhang, and N. Xie, "Risk-averse market clearing for coupled electricity, natural gas and district heating system," CSEE Journal of Power and Energy Systems, vol. 5, no. 2, pp. 240-248, 2019. [50] T. D. Hutty and S. Brown, "P2P trading of heat and power via a continuous double auction," Applied Energy, vol. 369, p. 123556, 2024. [51] H. Zhang, S. Zhang, X. Hu, H. Cheng, Q. Gu, and M. Du, "Parametric optimization-based peer-to-peer energy trading among commercial buildings considering multiple energy conversion," Applied Energy, vol. 306, p. 118040, 2022. [52] T. Gokcek, I. Sengor, B. P. Hayes, and O. Erdinc, "A hierarchical approach for P2P energy trading considering community energy storage and PV‐enriched system operator," IET Generation, Transmission & Distribution, vol. 16, no. 23, pp. 4738-4749, 2022. [53] A. Jiang, H. Yuan, and D. Li, "A two-stage optimization approach on the decisions for prosumers and consumers within a community in the Peer-to-peer energy sharing trading," International Journal of Electrical Power & Energy Systems, vol. 125, p. 106527, 2021. [54] Y. Zhou, J. Wu, G. Song, and C. Long, "Framework design and optimal bidding strategy for ancillary service provision from a peer-to-peer energy trading community," Applied Energy, vol. 278, p. 115671, 2020. [55] N. Hashemipour, P. C. del Granado, and J. Aghaei, "Dynamic allocation of peer-to-peer clusters in virtual local electricity markets: A marketplace for EV flexibility," Energy, vol. 236, p. 121428, 2021. [56] Y. Xia, Q. Xu, J. Fang, Y. Huang, L. Shi, and F. Wu, "Surrogate model enabled integrated energy system trading in buildings considering bidding characteristics," Energy and Buildings, vol. 306, p. 113939, 2024. [57] C. S. Lai, M. Yan, X. Li, L. L. Lai, and Y. Xu, "Coordinated Operation of Electricity and Natural Gas Networks with Consideration of Congestion and Demand Response," Applied Sciences, vol. 11, no. 11, p. 4987, 2021. [58] S. Rezaei and A. Ghasemi, "Stochastic scheduling of resilient interconnected energy hubs considering peer-topeer energy trading and energy storages," Journal of Energy Storage, vol. 50, p. 104665, 2022. [59] M. Khorasany, A. S. Gazafroudi, R. Razzaghi, T. Morstyn, and M. Shafie-khah, "A framework for participation of prosumers in peer-to-peer energy trading and flexibility markets," Applied Energy, vol. 314, p. 118907, 2022. [60] M. Mehdinejad, H. Shayanfar, and B. Mohammadi-Ivatloo, "Peer-to-peer decentralized energy trading framework for retailers and prosumers," Applied Energy, vol. 308, p. 118310, 2022. [61] S. Malik, M. Duffy, S. Thakur, B. Hayes, and J. Breslin, "A priority-based approach for peer-to-peer energy trading using cooperative game theory in local energy community," International Journal of Electrical Power & Energy Systems, vol. 137, p. 107865, 2022. [62] J. Guerrero, B. Sok, A. C. Chapman, and G. Verbič, "Electrical-distance driven peer-to-peer energy trading in a low-voltage network," Applied Energy, vol. 287, p. 116598, 2021. [63] D. Alkano and J. M. Scherpen, "Distributed supply coordination for power-to-gas facilities embedded in energy grids," IEEE Transactions on Smart Grid, vol. 9, no. 2, pp. 1012-1022, 2016. [64] Y. Zhou, J. Wu, C. Long, and W. Ming, "State-of-the-art analysis and perspectives for peer-to-peer energy trading," Engineering, vol. 6, no. 7, pp. 739-753, 2020. [65] V. Shabazbegian, H. Ameli, M. T. Ameli, G. Strbac, and M. Qadrdan, "Co-optimization of resilient gas and electricity networks; a novel possibilistic chance-constrained programming approach," Applied Energy, vol. 284, p. 116284, 2021. [66] T. Baroche, P. Pinson, R. L. G. Latimier, and H. B. Ahmed, "Exogenous cost allocation in peer-to-peer electricity markets," IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2553-2564, 2019. [67] D. J. Klein and M. Randić, "Resistance distance," Journal of mathematical chemistry, vol. 12, no. 1, pp. 81-95, 1993. [68] D. Huo, C. Gu, K. Ma, W. Wei, Y. Xiang, and S. Le Blond, "Chance-constrained optimization for multienergy hub systems in a smart city," IEEE Transactions on Industrial Electronics, vol. 66, no. 2, pp. 1402-1412, 2018. [69] M. Geidl and G. Andersson, "Optimal power flow of multiple energy carriers," IEEE Transactions on power systems, vol. 22, no. 1, pp. 145-155, 2007. [70] A. Theerthamalai and S. Maheswarapu, "An effective noniterative “λ-logic based” algorithm for economic dispatch of generators with cubic fuel cost function," International Journal of Electrical Power & Energy Systems, vol. 32, no. 5, pp. 539-542, 2010. [71] F. Fang, Q. H. Wang, and Y. Shi, "A novel optimal operational strategy for the CCHP system based on two operating modes," IEEE Transactions on power systems, vol. 27, no. 2, pp. 1032-1041, 2011. [72] H. Mehrjerdi, "Peer-to-peer home energy management incorporating hydrogen storage system and solar generating units," Renewable Energy, vol. 156, pp. 183-192, 2020. [73] R. Habibifar, H. Ranjbar, M. Shafie-Khah, M. Ehsan, and J. P. Catalão, "Network-constrained optimal scheduling of multi-carrier residential energy systems: a chanceconstrained approach," Ieee Access, vol. 9, pp. 86369- 86381, 2021. [74] Y. Jiang et al., "Coordinated operation of gas-electricity integrated distribution system with multi-CCHP and distributed renewable energy sources," Applied energy, vol. 211, pp. 237-248, 2018. [75] G. L. Torres, V. H. Quintana, and G. Lambert-torres, "Optimal power flow in rectangular form via an interior point method," in Proc. of 1996 IEEE North American Power Symposium, 1996: Citeseer. [76] V. Shabazbegian, H. Ameli, M. T. Ameli, and G. Strbac, "Stochastic optimization model for coordinated operation of natural gas and electricity networks," Computers & Chemical Engineering, vol. 142, p. 107060, 2020. [77] M. Feili and M. Mameli, "Simultaneous operation of electricity and natural gas systems through the P2P energy trading mechanism," Journal of Modeling in Engineering, vol. 21, no. 75, pp. 205-224, 2023. [78] R. Misener and C. A. Floudas, "ANTIGONE: algorithms for continuous/integer global optimization of nonlinear equations," Journal of Global Optimization, vol. 59, no. 2, pp. 503-526, 2014. [79] F. S. Gazijahani, S. N. Ravadanegh, and J. Salehi, "Stochastic multi-objective model for optimal energy exchange optimization of networked microgrids with presence of renewable generation under risk-based strategies," ISA transactions, vol. 73, pp. 100-111, 2018 [80] Z. Li and C. A. Floudas, "Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: II. Sequential reduction," Computers & Chemical Engineering, vol. 84, pp. 599-610, 2016. | ||
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