Distribution Systems Energy Management in the presence of Smart Homes, Renewable Energy Resources and Demand Response Programs by Considering Uncertainties

Subject Areas : Renewable energy

Seyed Alireza Alavimatin ¹ , Pouria Radmehr ² , Amir Ahmarinejad ³ , Seyed Amir Mansouri ⁴

1 - Department of Electrical Engineering- Faculty of Engineering Arak University, Arak, Iran
2 - Department of Electrical Engineering- Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran
3 - Department of Electrical Engineering- Central Tehran Branch, Islamic Azad University, Tehran, Iran
4 - Department of Electrical Engineering- Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran

Received: 2021-10-26 Accepted : 2022-02-09 Published : 2023-05-22

Keywords: Demand Response Programs, uncertainties, Distribution network, social welfare index, renewable energy resources, Energy management, smart homes,

Abstract :

In this paper, a comprehensive energy management model is proposed in order to the operation of a ‎modified 33-radial bus distribution system, in the presence of smart homes. In the proposed model, ‎smart home customers are able to participate in a demand response (DR) program and their comfort ‎index is also considered as the main constraint. The model also considers uncertainties related to the ‎load demand, the generation of renewable energy resources and electricity price. The Monte Carlo ‎simulation method and the ScenRed tool are utilized to generate and reduce the scenarios, respectively. ‎In order to mimic the actual operating conditions, in the simulation, the seasonal variations of load ‎and generation are considered and the operation problem is solved for four seasons.‎‏ ‏A linear AC ‎power flow is also used in the model. Finally, the problem is modeled as a mixed-integer linear ‎programming (MILP) problem and solved by the CPLEX solver in GAMS software. The simulation ‎results demonstrate that the model proposed in this study is a comprehensive framework for the ‎operation of distribution systems in the presence of smart homes, which not only reduces operating ‎costs but also increases the consumers’ comfort index.‎

References:

[1] G, Dileep, “A survey on smart grid technologies and applications”, Renewable Energy, vol. 146, pp. 2589-2625, Feb. 2020 (doi: 10.1016/j.renene.2019.08.092).

[2] Y. Yoldaş, A. Önen, S.M. Muyeen, A.V. Vasilakos, İ. Alan, “Enhancing smart grid with microgrids: Challenges and opportunities”, Renewable and Sustainable Energy Reviews, vol. 72, pp. 205-214, May 2017 (doi: 10.1016/j.rser.2017.01.064).

[3] Y. Li, X. Cheng, Y. Cao, D. Wang, L. Yang, “Smart choice for the smart grid: Narrowband internet of things (NB-IoT)”, IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1505-1515, June 2018 (doi: 10.1109/J­IOT­.2017.2­781251).

[4] S. M. Amin, B.F. Wollenberg, "Toward a smart grid: power delivery for the 21st century”, IEEE Power and Energy Magazine, vol. 3, no. 5, pp. 34-41, Sept. 2005 (doi: 10.1109/MPAE.2005.1507024).

[5] H. Merdanoğlu, E. Yakıcı, O. T. Doğan, S. Duran, M. Karatas, "Finding optimal schedules in a home energy management system”, Electric Power Systems Research, vol. 182, Article Number: 106229, May 2020 (doi: 10.1016/j.epsr.2020.106229).

[6] P.S. Kumar, R. Chandrasena, V. Ramu, G. Srinivas, K.V.S.M. Babu, "Energy management system for small scale hybrid wind solar battery based microgrid”, IEEE Access, vol. 8, pp. 8336-8345, Jan. 2020 (doi: 10.1109/ACCESS.2020.2964052).

[7] T. Ahmad, H. Zhang, B. Yan, "A review on renewable energy and electricity requirement forecasting models for smart grid and buildings”, Sustainable Cities and Society, vol. 55, Article Number: 102052, April 2020 (doi: 10.1016/j.scs.2020.102052).

[8] L. Zhang, X. Hu, Z. Wang, J. Ruan, C. Ma, Z. Song, D.G. Dorrell, M.G. Pecht, “Hybrid electrochemical energy storage systems: An overview for smart grid and electrified vehicle applications”, Renewable and Sustainable Energy Reviews, vol. 139, Article Number: 110581, April 2021 (doi: 10.1016/j.r­ser­.2020.110581).

[9] G. Yuan, Y. Gao, B. Ye, R. Huang, "Real-time pricing for smart grid with multi-energy microgrids and uncertain loads: a bilevel programming method”, International Journal of Electrical Power and Energy Systems, vol. 123, Article Number: 106206, Dec. 2020 (doi: 10.1016/j.ijepes.2020.106206).

[10] S. Dorahaki, R. Dashti, H.R. Shaker, "Optimal energy management in the smart microgrid considering the electrical energy storage system and the demand-side energy efficiency program”, Journal of Energy Storage, vol. 28, Article Number: 101229, April 2020 (doi: 10.1016/j.est.2020.101229).

[11]  S. Aslam, A. Khalid, N. Javaid, "Towards efficient energy management in smart grids considering microgrids with day-ahead energy forecasting”, Electric Power Systems Research, vol. 182, Article Number: 106232, May 2020 (doi: 10.1016/j.epsr.2020.106232).

[12]  S. Aznavi, P. Fajri, R. Sabzehgar, A. Asrari, "Optimal management of residential energy storage systems in presence of intermittencies”, Journal of Building Engineering, vol. 29, Article Number: 101149, May 2020 (doi: 10.1016/j.jobe.2019.101149).

[13] E.E. Elattar, S.K. ElSayed, "Probabilistic energy management with emission of renewable micro-grids including storage devices based on efficient salp swarm algorithm”, Renewable Energy, vol. 153, pp. 23-35, June 2020 (doi: 10.1016/j.renene.2020.01.144).

[14]  X. Wu, X. Hu, X. Yin, S.J. Moura, "Stochastic optimal energy management of smart home with PEV energy storage”, IEEE Trans. on Smart Grid, vol. 9, no. 3, pp. 2065-2075, Sept. 2016 (doi: 10.1109/TS­G.20­16.2­606­4­42).

[15] S. Mansouri, A. Ahmarinejad, M. Ansarian, M. Javadi, J. Catalao, "Stochastic planning and operation of energy hubs considering demand response programs using Benders decomposition approach”, International Journal of Electrical Power and Energy Systems, vol. 120, Article Number: 106030, Sept. 2020 (doi: 10.10­16/j.ij­epes.2020.106030).

[16] F. Sheidaei, A. Ahmarinejad, "Multi-stage stochastic framework for energy management of virtual power plants considering electric vehicles and demand response programs”, International Journal of Electrical Power and Energy Systems, vol. 120, Article Number: 106047, Sept. 2020 (doi: 10.1016/j.ijepes.2020.106047).

[17] X. Wu, X. Hu, S. Moura, X. Yin, V. Pickert, "Stochastic control of smart home energy management with plug-in electric vehicle battery energy storage and photovoltaic array”, Journal of Power Sources, vol. 333, pp. 203-212, Nov. 2016 (doi: 10.1016/j.jpowsour.2016.09.157).

[18] M.A. Hormozi, B.B. Firoozi, T. Niknam, "Bi-level energy management optimization in multi-area smart grids”, Journal of Intelligent Procedures in Electrical Technology, vol. 11, no. 42, pp. 29-40, May 2020 (dor: 20.1001.1.23223871.1399.11.42.3.4).

[19] S. Gorji, S. Zamanian, M. Moazzami, "Techno-economic and environmental base approach for optimal energy management of microgrids using crow search algorithm”, Journal of Intelligent Procedures in Electrical Technology, vol. 11, no. 43, pp. 49-68, Sept. 2020 (dor: 20.1001.1.23223871.1399.11.43.4.7).

[20] A.H. Sharifi, P. Maghouli, "Energy management of smart homes equipped with energy storage systems considering the PAR index based on real-time pricing”, Sustainable Cities and Society, vol. 45, pp. 579-587, Feb. 2019 (doi: 10.1016/j.scs.2018.12.019).

[21] J. Liu, X. Chen, H. Yang, Y. Li, "Energy storage and management system design optimization for a photovoltaic integrated low-energy building”, Energy, vol. 190, Article Number: 116424, Jan. 2020 (doi: 10.1016/j.energy.2019.116424).

[22] G.R. Aghajani, H.A. Shayanfar, H. Shayeghi, "Demand side management in a smart micro-grid in the presence of renewable generation and demand response”, Energy, vol. 126, pp. 622-637, May 2017 (doi: 10.1016/j.energy.2017.03.051).

[23] S.A. Mansouri, A. Ahmarinejad, E. Nematbakhsh, M.S. Javadi, A.R. Jordehi, J.P. Catalão, "Energy management in microgrids including smart homes: A multi-objective approach”, Sustainable Cities and Society, vol. 69, Article Number: 102852, June 2021 (doi: 10.1016/j.scs.2021.102852).