An Economic Evaluation of the Coordination Between Electric Vehicle Storage and Photovoltaic in Residential Home Under R
Presently, the development of grid-interactive homes (GIH) is becoming an additional wing for the extension of power system. The optimal coordination of residential grid-interactive solar photovoltaic (PV) and electric vehicle (EV) are presented in this p
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Introduction The scarcity of fossil fuel leads to the innovative use of different renewable sources like solar photovoltaic (PV), wind turbine, etc. [1, 2]. But the sporadic nature of these K. Kasturi (B) Department of Electrical Engineering, ITER, Siksha O Anusandhan (Deemed to be University), Bhubaneswar 751030, Odisha, India e-mail: [email protected] S. K. Bhoi Department of Electrical Engineering, Government College of Engineering, Kalahandi, Bhawanipatna, Odisha, India M. R. Nayak Department of Electrical Engineering, CAPGS, Biju Patnaik University of Technology, Rourkela 769004, India © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021 R. Sharma et al. (eds.), Green Technology for Smart City and Society, Lecture Notes in Networks and Systems 151, https://doi.org/10.1007/978-981-15-8218-9_28
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sources poses different challenges to the users, which can be solved by integrating electric vehicles (EVs) with other local generations [3, 4]. Some studies related to the operation of residential microgrid power systems combined with distributed generation (DG) units are presented in this section. Authors analyzed the performance of a microgrid by solving unit commitment problems using a genetic algorithm in [5]. To get economical benefit, a solar-based residential microgrid operated with a feed-in tariff was considered in [6]. Day-ahead scheduling for renewable sources integrated with microgrid was presented in [7]. Two different demand response programs (DRPs) were considered to ensure more benefit to the system operators. EVs are incorporated into microgrid as a novel technology to enhance its performance. In studies, EVs are connected to microgrid as standalone or combined with other renewable sources. The operational cost of microgrid was minimized by a robust optimization technique in [8] to evaluate the optimal operation of the existing grid incorporated with plug-in hybrid electric vehicles (PHEVs). A non-linear optimization algorithm was used to get optimal scheduling for microgrid integrated with EVs operated as a vehicle to grid (V2G) mode [9]. An unbalanced microgrid was incorporated with V2G operation to get improves its performance in [10]. Authors considered different risk factors of microgrid when it was operated with EVs to get market opportunities [11]. The contributions of this proposed work are: (a) Considered real data of a city, to do optimal operation of grid-interactive homes (GIH). (b) Operate EVs of GIH to handle sporadic nature of PV and gain economic benefit. (c) Reduction in total operating cost of GIH by utilizing demand-side management (DSM) with real-time pricing (RTP) structure. (d) Proposed an inclusive optimization technique based on mixed-integer linear programming (MILP) to evaluate an optimal size of PV for GIH. Modelling of the system is elaborated in Sect. 2 and the problem is framed in Sect. 3. MILP is defined in Sect. 4, whereas Sect. 5 evaluates obtained results. Then Sect.
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