Abstract
Due to the rising use of the electric vehicle (EVs) in today's transportation systems, the analysis of integration of EVs with the electricity grid has become a necessity of current time. This paper considers a residential and commercial area with some constant and variable load. The main purpose of this article is energy management of sources, i.e., EVs, photovoltaic cells (PVs), household batteries, and grid, along with scheduling of the variable appliances to reduce the peak demand and cost of the electricity bill. In this cost of the energy storage devices, i.e., energy price tag (EPT) is considered and variation in total cost is observed with and without EPT. This paper presents an algorithm to evaluate the variation in the cost of energy consumption with and without considering the EPT. For scheduling of the appliances, two cases are considered, i.e., appliances are scheduled randomly and user preferred duration. For the optimization, mixed-integer linear programming is used, and in that DICOPT solver is used to solve the equations in GAMS software.
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References
Sun X, Li Z, Wang X, Li C (2019) Technology Development of Electric Vehicles: A Review. Energies 13(1):90
Sanguesa JA, Torres-Sanz V, Garrido P, Martinez FJ, Marquez-Barja JM (2021) A Review on Electric Vehicles: Technologies and Challenges. Smart Cities 4(1):372–404
Rajper, Sarmad Zaman, and Johan Albrecht. Prospects of Electric Vehicles in the Developing Countries: A Literature Review. Sustainability 12. MDPI AG: 1906 (2020)
Mohd Rizwan Khalid, Mohammad Saad Alam, Adil Sarwar, M.S. Jamil Asghar,A Comprehensive review on electric vehicles charging infrastructures and their impacts on power-quality of the utility grid, eTransportation, Volume 1 ,100006,ISSN 2590–1168 (2019)
Lee J, Lee E (2020) Kim J Electric Vehicle Charging and Discharging Algorithm Based on Reinforcement Learning with Data-Driven Approach in Dynamic Pricing Scheme. Energies 13:1950
Yan, Q., Zhang, B., & Kezunovic, M. Optimized Operational Cost Reduction for an EV Charging Station Integrated with Battery Energy Storage and PV generation (2018)
Paramvir Singh, Sandeep Dhundhara, Yajvender Pal Verma, Nisha Tayal,Optimal battery utilization for energy management and load scheduling in smart residence under demand response scheme,Sustainable Energy, Grids and Networks,Volume 26 ,100432,ISSN 2352–4677 (2021)
Hafiz Muhammad Ali, Recent advancements in PV cooling and efficiency enhancement integrating phase change materials based systems – A comprehensive review, Solar Energy,Volume 197 ,Pages 163–198,ISSN 0038–092X (2020)
Dambhare, Mugdha&Butey, Bhavana &Moharil, Sanjiv. Solar photovoltaic technology: A review of different types of solar cells and its future trends. Journal of Physics: Conference Series. 1913. 012053 (2021)
Sharif Naser Makhadmeh, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, Syibrah Naim, Ammar Kamal Abasi, Zaid Abdi Alkareem Alyasseri, Optimization methods for power scheduling problems in smart home: Survey, Renewable and Sustainable Energy Reviews, Volume 115 ,109362,ISSN 1364–0321 (2019).
Tang, Yanmei et al. “Robust optimization for energy scheduling of CCHP systems under electrical load tracking and thermal load tracking.” 2019 IEEE Sustainable Power and Energy Conference (iSPEC): 536–540 (2019).
Antonyraj, S & Samuel, G.Giftson. Optimal Energy Scheduling of Renewable Energy Sources in Smart Grid using Cuckoo Optimization Algorithm with Enhanced Local Search. IOP Conference Series: Earth and Environmental Science. 312. 012014 (2019).
Aznavi, Sima& Fajri, Poria& Asrari, Arash& Harirchi, Farshad. Realistic and Intelligent Management of Connected Storage Devices in Future Smart Homes Considering Energy Price Tag. IEEE Transactions on Industry Applications. PP. 1–1. https://doi.org/10.1109/TIA.2019.2956718 (2019).
National Renewable Energy Laboratory (USA), www.nrel.gov/homer [last accessed January 2022].
Real time electricity prices. https://hourlypricing.comed.com/live-prices/ [last accessed January, 2022]
Kakran S, Chanana S (2019) Operation management of a renewable microgrid supplying to a residential community under the effect of incentive-based demand response program. Int J Energy Environ Eng 10:121–135
Lal Karn A.K., Kakran S. Operation Management of Microgrid Supplying to the Residential, Industrial and Commercial Community using Different Demand Response Techniques. 4th International Conference on Energy, Power and Environment (ICEPE), 2022, pp. 1–6, (2022)
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Prajapat, A.K., Kakran, S. (2024). Variation of Cost in Scheduling of Residential and Commercial Appliances with the Inclusion of Energy Price Tag of EV and Household Battery. In: Kumar, A., Singh, S.N., Kumar, P. (eds) Decarbonisation and Digitization of the Energy System. SGESC 2023. Lecture Notes in Electrical Engineering, vol 1099. Springer, Singapore. https://doi.org/10.1007/978-981-99-7630-0_9
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DOI: https://doi.org/10.1007/978-981-99-7630-0_9
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