Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot
Abstract This paper presents the optimal scheduling of active distribution network (ADN) with linear and non‐linear loads in the presence of an integrated unit of electric spring and electric vehicle parking lot (IUEE). The proposed scheme is formulated in the form of three‐objective optimization, w...
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Format: | Article |
Language: | English |
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Wiley
2023-07-01
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Series: | IET Generation, Transmission & Distribution |
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Online Access: | https://doi.org/10.1049/gtd2.12875 |
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author | Arash Rohani Ali Nahavandi Mahyar Abasi Mahmood Joorabian |
author_facet | Arash Rohani Ali Nahavandi Mahyar Abasi Mahmood Joorabian |
author_sort | Arash Rohani |
collection | DOAJ |
description | Abstract This paper presents the optimal scheduling of active distribution network (ADN) with linear and non‐linear loads in the presence of an integrated unit of electric spring and electric vehicle parking lot (IUEE). The proposed scheme is formulated in the form of three‐objective optimization, which minimizes the expected operating cost of the ADN, voltage deviation function (VDF), and the total harmonic distortion (THD) of the voltage in separate objective functions. Constraints include harmonic power flow (HPA) equations, operation and power quality limits, and operation model of the IUEE. This scheme has uncertainties of load, energy price, and energy demand of EVs, which are modelled here using stochastic programming. Next, the sum of the weighted functions method as a subset of the Pareto optimization technique is adopted to extract the integrated single‐objective problem. Then, Sine‐Cosine Combined Algorithm (SCA) and Gray Wolf Optimization (GWO) are used to achieve an optimal solution. In the end, by examining the numerical results obtained from the implementation of the proposed scheme on a 69‐bus ADN, the capability of the design in enhancing the economic situation, operation, and power quality of the ADN compared to network power flow studies obtained by optimal scheduling of the IUEE is confirmed. |
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id | doaj.art-6f5842d4c3f24e04bede894e2f9232f1 |
institution | Directory Open Access Journal |
issn | 1751-8687 1751-8695 |
language | English |
last_indexed | 2024-03-13T01:36:54Z |
publishDate | 2023-07-01 |
publisher | Wiley |
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series | IET Generation, Transmission & Distribution |
spelling | doaj.art-6f5842d4c3f24e04bede894e2f9232f12023-07-04T04:39:15ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-07-0117133030304510.1049/gtd2.12875Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lotArash Rohani0Ali Nahavandi1Mahyar Abasi2Mahmood Joorabian3Khuzestan Regional Electric Company (KZREC) Ahvaz IranDepartment of Electrical Engineering Faculty of Engineering Malayer University Malayer IranDepartment of Electrical Engineering Institute for Higher Education ACECR Khuzestan Khuzestan IranDepartment of Electrical Engineering Faculty of Engineering Shahid Chamran University of Ahvaz Ahvaz IranAbstract This paper presents the optimal scheduling of active distribution network (ADN) with linear and non‐linear loads in the presence of an integrated unit of electric spring and electric vehicle parking lot (IUEE). The proposed scheme is formulated in the form of three‐objective optimization, which minimizes the expected operating cost of the ADN, voltage deviation function (VDF), and the total harmonic distortion (THD) of the voltage in separate objective functions. Constraints include harmonic power flow (HPA) equations, operation and power quality limits, and operation model of the IUEE. This scheme has uncertainties of load, energy price, and energy demand of EVs, which are modelled here using stochastic programming. Next, the sum of the weighted functions method as a subset of the Pareto optimization technique is adopted to extract the integrated single‐objective problem. Then, Sine‐Cosine Combined Algorithm (SCA) and Gray Wolf Optimization (GWO) are used to achieve an optimal solution. In the end, by examining the numerical results obtained from the implementation of the proposed scheme on a 69‐bus ADN, the capability of the design in enhancing the economic situation, operation, and power quality of the ADN compared to network power flow studies obtained by optimal scheduling of the IUEE is confirmed.https://doi.org/10.1049/gtd2.12875distribution networksdistribution planning and operationelectric vehiclesoptimisationpower quality/harmonics |
spellingShingle | Arash Rohani Ali Nahavandi Mahyar Abasi Mahmood Joorabian Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot IET Generation, Transmission & Distribution distribution networks distribution planning and operation electric vehicles optimisation power quality/harmonics |
title | Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
title_full | Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
title_fullStr | Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
title_full_unstemmed | Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
title_short | Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
title_sort | power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot |
topic | distribution networks distribution planning and operation electric vehicles optimisation power quality/harmonics |
url | https://doi.org/10.1049/gtd2.12875 |
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