Participation of Renewable Energy in Providing Demand Response in Presence of Energy Storage

Akbari, E.; Sheikholeslami, Abdul R.; Zishan, F.

doi:10.22044/rera.2022.11818.1115

Document Type : Original Article

Authors

¹ Faculty of Electrical and Computer Engineering, Mazandaran University of Science and Technology, Babol, Iran.

² Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran.

³ Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran.

https://doi.org/10.22044/rera.2022.11818.1115

Abstract

Due to the lack of transmission and distribution network in remote and impassable areas due to the high cost of construction of the transmission line along with the unsuitable geographical conditions and taking into account the factors affecting sustainable energy production, the use of a hybrid system seems like a sensible solution. Designing hybrid systems in order to respond throughout the year is of paramount importance. In this research, this study investigates the participation of wind turbine, photovoltaic and hybrid system with demand response in the presence of energy storage. The participation of renewable energy in providing demand response will be presented in three seminars: 1: The role of wind turbine partnership with storage, 2: the role of photovoltaic with storage, 3: hybrid mode with storage. The best ways to generate electricity are sought from three different scenarios to select the best possible case. It can be said that renewable energy is economically competitive with fossil energy and this energy can be used and implemented along with distribution networks. While analyzing the participation of different hybrid systems and estimating the cost of optimization, the total price for each unit of energy production, energy storage, Net Present Cost (NPC) and participation in demand supply will be compared. Comparative results show that the hybrid design can have a more appropriate and desirable performance. HOMER software is used to determine the optimal possible modes for these systems, in the position of 37 degrees latitude and 42 degrees longitude.

Keywords

20.1001.1.2717252.2023.4.2.7.8

References

[1] J. Nikoukar Sh. Momen M. Gandomkar,’’ Determining Optimal Arrangement of Distributed Generations in Microgrids to Supply Electrical and Thermal Demands using Improved Shuffled Frog Leaping Algorithm’’, Renewable Energy Research and Applications, Volume 3, Issue 1 , Pages 79-92,2022.

[2]Manohar.Mishra,BhaskarPatnaik,MonalisaBiswal,ShaziaHasan,and Ramesh C.Bansal,’’ A systematic review on DC-microgrid protection and grounding techniques: Issues, challenges and future perspective’’, Applied Energy, Volume 313, 1 2022.

[3]MarjanShafiee-Rad, Mahdieh S.Sadabadi, QobadShafiee, and MohammadReza Jahed-Motlagh,’’ Modeling and robust structural control design for hybrid AC/DC microgrids with general topology’’, Volume 139, 2022.

[4] R. Alayi, Syed R. Seydnouri , M. Jahangeri , and A. Maarif ,’’ Optimization, Sensitivity Analysis, and Techno-Economic Evaluation of a Multi-source System for an Urban Community: a Case Study’’, Renewable Energy Research and Applications, Volume 3, Issue 1 , Pages 21-30,2022.

[5] Alayi, R., Kasaeian, A., Najafi, A., and Jamali, E. (2020), "Optimization and evaluation of a wind, solar and fuel cell hybrid system in supplying electricity to a remote district in national grid", International Journal of Energy Sector Management, Vol. 14, No. 2, pp. 408-418.

[6] S. J. Ben Christopher, “Dynamic Demand Balancing using Demand Side Management Techniques in a Grid Connected Hybrid System,” Int. J. Renew. ENERGY Res. S.J. Ben Christopher, Vol. 4, No. 4, 2014.

[7] B. Lasseter, Microgrids [distributed power generation], IEEE Power Engineering Society Winter Meeting, Columbus, Ohio, Vol. 1, pp. 146–149, Feb 2001.

[8] S. Morozumi, Micro-grid demonstration projects in Japan, in: IEEE Power Conversion Conference-Nagoya, PCC'07, 2007.

[9] A. Arulampalam, et al., Control of power electronic interfaces in distributed generation microgrids, Int. J. Electron. 91 (9) (2004) 503–523.

[10] J.M. Carrasco, et al., Power-electronic systems for the grid integration of renewable energy sources: asurvey, IEEE Trans. Ind.Electron. 53 (4) (2006) 1002–1016.

[11] MD. NURUNNABI, NARUTTAM KUMAR ROY, EKLAS HOSSAIN, AND HEMANSHU ROY POTA’’, Size Optimization and Sensitivity Analysis of Hybrid Wind/PV Micro-Grids- A Case Study for Bangladesh’’, IEEE Digital Object Identifier 10.1109/ACCESS., 2019.

[12] R. Alayi and F. Jahanbin ,’’ Generation Management Analysis of a Stand-alone Photovoltaic System with Battery’’, Renewable Energy Research and Applications, Volume 1, Issue 2, Pages 205-209, 2020.

[13] Mohammad SHahzad,’’ Techno-economic assessment of a hybrid solar-wind-battery system with genetic algorithm’’, Energy Procedia, 2019.

[14] Jihane Kartite,’’ Study of the different structures of hybrid systems in renewable energies: A review’’, Energy Procedia, 2019.

[15] Gandhi, Oktoviano, et al. "Economic and technical analysis of reactive power provision from distributed energy resources in microgrids." Applied energy 210 (2018): 827-841.

[16] Dou, Xiaobo, et al. "A load-storage integrated control strategy to improve power regulation performance in a microgrid." Journal of Energy Storage 13 (2017): 233-243.

[17] Zenginis, Ioannis, et al. "Cooperation in microgrids through power exchange: An optimal sizing and operation approach." Applied energy 203 (2017): 972-981.

[18] Abdi, Hamdi, Soheil Derafshi Beigvand, and Massimo La Scala. "A review of optimal power flow studies applied to smart grids and microgrids." Renewable and Sustainable Energy Reviews 71 (2017): 742-766.

[19] Li, Jianwei, et al. "Design/test of a hybrid energy storage system for primary frequency control using a dynamic droop method in an isolated microgrid power system." Applied Energy 201 (2017): 257-269.

[20] Alayi, R., Kumar, R., Seydnouri, S. R., Ahmadi, M. H., and Issakhov, A. (2021). Energy, environment, and economic analyses of a parabolic trough concentrating photovoltaic/thermal system. International Journal of Low-Carbon Technologies, 16(2), 570-576. ‏

[21] Tungadio, Diambomba H., and R. C. Bansal. "Active power reserve estimation of two interconnected microgrids." Energy Procedia 105 (2017): 3909-3914.

[22] H.Zhou, T. Bhattacharya, D. Tran, T. S. Terence Siew, and A. M. Khambadkone, “Composite Energy Storage System Involving Battery and Ultra-capacitor With Dynamic Energy Management in Microgrid Applications,” IEEE Trans. On Power Electronics, Vol. 26, No. 3, pp. 923-930, March 2011.

[23] Khodaei A, Shahidehpour M, and Bahramirad S. SCUC with hourly demand response considering intertemporal load characteristics. IEEE Trans Smart Grid 2(3), 2011.

[24] Parvania M and Fotuhi-Firuzabad M. Demand response scheduling by stochastic SCUC. IEEE Trans Smart Grid 1(1), 2010.

[25] Cecati C, Citro C, and Siano P. Combined operations of renewable energy systems and responsive demand in a smart grid. IEEE Trans Sust Energy 2(4),2011.

[26] Schroeder. Modeling storage and demand management in power distribution grids. Appl Energy 88(12), 2011.

[27] Alayi, R., Harasii, H., and Pourderogar, H. (2021). Modeling and optimization of photovoltaic cells with GA algorithm. Journal of Robotics and Control (JRC), 2(1), 35-41. ‏

[28] Alayi, R., Mohkam, M., Seyednouri, S. R., Ahmadi, M. H., and Sharifpur, M. (2021). Energy/economic analysis and optimization of on-grid photovoltaic system using CPSO algorithm. Sustainability, 13(22), 12420. ‏

[29] H. Nasiraghdam and S. Jadid, "Optimal hybrid PV/WT/FC sizing and distribution system reconfiguration using multi-objective artificial bee colony (MOABC) algorithm," Solar Energy, vol. 86, pp. 3057-3071, 2012.

[30] H.A. Aalami and S. Nojavan, "Energy storage system and demand response program effects on stochastic energy procurement of large consumers considering renewable generation, "IET Generation,Transmission,and Distribution, Vol. 10, No. 1, pp. 107-114, 2016.

[31] S. Nojavan and H.A. Aalami, "Stochastic energy procurement of large electricity consumers considering photovoltaic, wind-turbine, micro-turbine, Energy storage system, and demand response program, "Energy Conversion and Mangment, Vol. 103, pp.1008-1018, 2015.

[32] N.D. Tung and L.B. Le, "Optimal bidding strategy for micro-grids considering renewable energy and building thermal dynamic, "Smart Grid, IEEE Trans. Vol. 5, pp. 1608-1620, 2014.

[33] R. Dufo-Lopez, J.L. Bernal-Agustin, and J. Contreras, "Optimization of control strategies for stand-alone renewable energy systems with hydrogen storage, "Renewable Energy, Vol. 32, pp.1102-1126, 2007.

[34] Alayi, R., Seydnouri, S., Jahangeri, M., and Maarif, A. (2022). Optimization, Sensitivity Analysis, and Techno-Economic Evaluation of a Multi-Source System for an Urban Community: a Case Study. Renewable Energy Research and Applications, 3(1), 21-30.

[35] Hung Khanh , Nguyen and Ju Bin Song, “Demand Side Management to Reduce Peak- to-Average Ratio using Game Theory in Smart Grid,” IEEE INFOCOM Workshop on Communications and Control for Sustainable Energy Systems 2012.

Participation of Renewable Energy in Providing Demand Response in Presence of Energy Storage

References

References

Volume 4, Issue 2July 2023Pages 225-234

Volume 4, Issue 2
July 2023
Pages 225-234