Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Preetham Goli"'
Autor:
Srinivasa Rao Gampa, Siva Kumar Mangipudi, Kiran Jasthi, Mahesh Babu B., Preetham Goli, D. Das, Valentina E. Balas
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 9, Iss 1, Pp 1-18 (2022)
Abstract In this paper, a Pareto multiobjective and grasshopper optimization algorithm (GOA) based optimum proportional–integral–derivative (P–I–D) controller design is proposed for improving the vehicle active suspension system dynamics unde
Externí odkaz:
https://doaj.org/article/6597f7b927404700979bb528b846dc4d
Autor:
Preetham Goli, Kiran Jasthi, Srinivasa Rao Gampa, Debapriya Das, Wajiha Shireen, Pierluigi Siano, Josep M. Guerrero
Publikováno v:
Smart Cities, Vol 5, Iss 1, Pp 177-205 (2022)
In this study, a two-stage methodology based on the energy savings gained by optimal network reconductoring was developed for the sizing and allocation of electric vehicle (EV) charging load at the residential locations in urban distribution systems.
Externí odkaz:
https://doaj.org/article/ae3f0b52b0c5438f9018445ba2d321e0
Publikováno v:
International Journal of Ambient Energy. 43:1581-1597
In this paper, Flower Pollination Algorithm (FPA)-based Pareto optimal approach is proposed for optimal network reconductoring of urban distribution systems integrated with solar Distributed Genera...
Publikováno v:
2022 IEEE Texas Power and Energy Conference (TPEC).
Autor:
Wajiha Shireen, Juan C. Vasquez, Pierluigi Siano, Kiran Jasthi, Josep Guerrero, Preetham Goli, Srinivasa Rao Gampa
Publikováno v:
Goli, P, Jasthi, K, Gampa, S R, Das, D, Shireen, W, Siano, P & Guerrero, J M 2022, ' Electric Vehicle Charging Load Allocation at Residential Locations Utilizing the Energy Savings Gained by Optimal Network Reconductoring ', Smart Cities, vol. 5, no. 1, pp. 177-205 . https://doi.org/10.3390/smartcities5010012
Smart Cities; Volume 5; Issue 1; Pages: 177-205
Smart Cities; Volume 5; Issue 1; Pages: 177-205
In this study, a two-stage methodology based on the energy savings gained by optimal network reconductoring was developed for the sizing and allocation of electric vehicle (EV) charging load at the residential locations in urban distribution systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0aceb6686e599a598021a2585f2770ef
http://hdl.handle.net/11386/4804933
http://hdl.handle.net/11386/4804933
Publikováno v:
2019 North American Power Symposium (NAPS).
This paper presents a Fuzzy Ant Colony Optimization (ACO) based approach for optimum allocation and sizing of Distributed Generation units (DGs) and Shunt Capacitors (SCs) in order to improve the predefined performance of the distribution system. The
Publikováno v:
Journal of Energy Storage. 27:101117
In this paper a two stage Grasshopper Optimization Algorithm (GOA) based Fuzzy multiobjective approach is proposed for optimum sizing and placement of Distributed Generations (DGs), Shunt Capacitors (SCs) and Electric Vehicle (EV) charging stations f
Publikováno v:
2018 Clemson University Power Systems Conference (PSC).
Deployment of high renewable energy based penetration in a distribution network increases the fault current levels and therefore it becomes imperative to review the protective device coordination study. Traditional relaying schemes may fail to protec
Publikováno v:
2017 IEEE Applied Power Electronics Conference and Exposition (APEC).
Degradation in Insulated Gate Bipolar Junction Transistor (IGBT) modules leads to reliability issues in high power applications. When thermal and electrical stress factors are subjected to large IGBT modules, natural degradation takes place, and crac
Publikováno v:
Solar Energy. 108:370-376
Performance, efficiency, cost of the power converters and their associated control, are important considerations for the commercialization of renewable power sources. In view of this, this paper proposes a reliable and low cost power electronics inte