Pregled bibliografske jedinice broj: 1179579
Optimization of Battery Storage and Renewable Distributed Generations Allocation, Battery Charge-discharge Profile in Distribution Power Feeders
Optimization of Battery Storage and Renewable Distributed Generations Allocation, Battery Charge-discharge Profile in Distribution Power Feeders // In Proceedings 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
Cape Town, Južnoafrička Republika: Institute of Electrical and Electronics Engineers (IEEE), 2021. str. 1-6 doi:10.1109/icecet52533.2021.9698624 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1179579 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of Battery Storage and Renewable
Distributed Generations Allocation, Battery
Charge-discharge Profile in Distribution Power
Feeders
Autori
Barukčić, Marinko ; Varga, Toni ; Benšić, Tin ; Jerković Štil, Vedrana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
In Proceedings 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2021, 1-6
Skup
International Conference on Electrical, Computer and Energy Technologies (ICECET)
Mjesto i datum
Cape Town, Južnoafrička Republika, 09.12.2021. - 12.12.2021
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
battery energy storage system ; battery charge-discharge profile ; distributed generation ; fuzzy inference system ; optimal allocation
Sažetak
The paper presents a study on the simultaneous determination of the optimal allocation of the battery storage system and renewable distributed generation units in power distribution systems using the co-simulation approach. A method for determining the optimal sizes/powers and locations of battery storage systems and distributed generation units based on a metaheuristic optimization technique is proposed. In addition to the optimal allocation, the optimal deployment of battery storage units is also considered and included in the optimization problem. The fuzzy based controller for battery storage charging/discharging is proposed and optimized simultaneously with allocation optimization. Minimization of system losses is considered as the objective of the optimization problem. The cosimulation approach is used to simulate the power system model and the optimization procedure. The presented optimization framework is applied to the IEEE 37 node test distribution feeder to present the procedure. The power losses are compared for three scenarios. The achieved reduction in power losses compared to the base case is 28.5 and 33.1 percent for scenarios 2–3, respectively.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Projekti:
UIP-2017-05-8572 - Razvoj postupaka kosimulacija programskih alata za primjenu mekog računarstva u elektroenergetici (COPESOC) (Barukčić, Marinko, HRZZ - 2017-05) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
