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Optimal demand response program design using a three phase optimization algorithm in electric vehicle charge/discharge application | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 12، دوره 14، شماره 9، آذر 2023، صفحه 169-180 اصل مقاله (716.01 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2021.23445.2541 | ||
| نویسندگان | ||
| Monireh Ahmadi* 1؛ Seyed Hossein Hosseini2؛ Murtaza Farsadi3 | ||
| 1Department of Electrical Engineering, Malekan Branch, Islamic Azad University, Malekan, Iran | ||
| 2Engineering Faculty, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey | ||
| 3Department of Electrical and Electronics Engineering, Engineering Faculty, Istanbul Aydin University, Istanbul, Turkey | ||
| تاریخ دریافت: 29 فروردین 1400، تاریخ بازنگری: 24 اردیبهشت 1400، تاریخ پذیرش: 09 تیر 1400 | ||
| چکیده | ||
| In this paper, the effects of distributed generation resources and demand response programs on the placement of charging or discharging stations are investigated. The effectiveness of an optimal exploitation approach is evaluated. pivotal factors of optimal charge/discharge power in stations are a combination of technical and economic parameters. The technical parameters contain minimization of network losses, voltage loss reduction in feeders, smoothing network load curve and harmonic elimination. The placement of stations and charge/discharge power were considered the most effective economic parameters. In other words, the minimization of charge/discharge operations results in cost reduction in purchasing power. A price-based demand-response program is considered to manage loads on the customer side and smooth the load curve. meta-heuristic optimization algorithms such as genetic algorithm (GA), particle swarm optimization (PSO), and imperialist are considered to find an optimal solution. This study is simulated on an IEEE standard 69-bus network. Using a conventional hybrid algorithm shows that the problem of station replacement and charge/discharge program can be solved optimally. Moreover, the effects of an increased number of stations and a disturbance in charge/discharge capacity are examined. | ||
| کلیدواژه‌ها | ||
| Optimal placement؛ electric vehicles؛ hybrid meta-heuristic algorithms؛ charging/discharging stations؛ demand-response program؛ distributed generation resources | ||
| مراجع | ||
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