Pregled bibliografske jedinice broj: 1236950
Impact of Electric Vehicles on Energy Efficiency with Energy Boosters in Coordination for Sustainable Energy in Smart Cities
Impact of Electric Vehicles on Energy Efficiency with Energy Boosters in Coordination for Sustainable Energy in Smart Cities // Processes MDPI, 10 (2022), 8; 1593-1618 doi:10.3390/pr10081593 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1236950 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Impact of Electric Vehicles on Energy Efficiency
with Energy Boosters in Coordination for
Sustainable Energy in Smart Cities
(Mpact of Electric Vehicles on Energy Efficiency
with Energy Boosters in Coordination for
Sustainable Energy in Smart Cities)
Autori
Pawan, Kumar ; Nikolovski, Srete ; Ikbal, Ali ; Mini, S. Thomas ; Hemant, Ahuja ;
Izvornik
Processes MDPI (2227-9717) 10
(2022), 8;
1593-1618
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
probabilistic loading patterns ; energy efficiency performance ; distribution systems ; passive energy boosters ; active energy boosters ; energy storage system ; harmony search algorithm ; sustainable energy and society
Sažetak
The use of electric vehicles (EVs) has recently increased in a smart city environment. With this, the optimal location of the charging station is a great challenge and, hence, the energy efficiency performance (EEP) of an electrical system is important. Ideally, the EEP is realized through passive energy boosters (PEBs) and active energy boosters (AEBs). PEBs require no external resources, and EEP is achieved through altering the network topology and loading patterns, whereas, in AEBs, integrating external energy resources is a must. The EEP has also become dynamic with the integration of an energy storage system (ESS) in a deregulated environment. Customer energy requirement varies daily, weekly, and seasonally. In this scenario, the frequent change in network topology requires modifying the size and location of AEBs. It alters the customers’ voltage profile, loadability margin, and supply reliability when the EV works differently as a load or source. Therefore, a comprehensive EEP analysis with different probabilistic loading patterns, including ESS, must be performed at the planning stage. This work uses a harmony search algorithm to evaluate EEP for AEBs and PEBs, in coordination, when ESS works as a load or source, at four locations, for customers’ and utilities’ benefits.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Profili:
Srete Nikolovski
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus