Decentralized Multi-Objective Energy Management With Dynamic Power Electronic Converters and Demand Response Constraints

Azizi, Ali (author): Iran University of Science and Technology, Department of Electrical Engineering, Tehran, Iran

Jahromi, Mehdi Zareian (author): Amirkabir University of Technology, Department of Electrical Engineering, Tehran, Iran

Dehghanian, Pooria (author): Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA

Mirez, Jorge (author): Universidad Nacional de Ingeniería (UNI), Group of Mathematical Modeling and Numerical Simulations, Lima, Peru

Sood, Vijay K. (author): Ontario Tech University, Department of Electrical, Computer and Software Engineering, Oshawa, ON, Canada

(creator_code:org_t)

Institute of Electrical and Electronics Engineers (IEEE), 2023
2023
English.
In: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 11, s. 146297-146312

Related links:: https://doi.org/10.1...; show more...; https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Abstract Subject headings

Energy management plays a pivotal role in enhancing the economic efficiency of power systems. However, it is noteworthy that a substantial number of microgrids (MGs) exhibit inherent unbalances that impose a range of critical issues, including voltage instability, elevated losses, power quality violations, safety concerns, and inefficiencies in energy management. Fast-acting power electronic converters present a relevant and efficacious solution for balancing such complex networks. This paper investigates the application of such converters within the realm of 3-phase unbalanced networks, wherein the proposed algorithm not only ameliorates network imbalances but also yields substantial reductions in operational costs, power losses, voltage deviations, and emissions. Demand response (DR) program has been applied to the model to enhance the system efficiency. The uncertainty about electric demand and renewable energy sources is considered in the simulation model for precise results. By implementing DR programs and penetrating distributed generators (DGs), the proposed model has been shown to reduce network losses and operation costs by 23% and 80%, respectively. Also, the total up-to-down voltage deviation of the voltage profile has been significantly reduced by 400%.

TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Naturresursteknik -- Energisystem (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Environmental Engineering -- Energy Systems (hsv//eng)
TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Energiteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Energy Engineering (hsv//eng)

By the author/editor: Azizi, Ali; Jahromi, Mehdi Z ...; Dehghanian, Poor ...; Chamorro Vera, H ...; Mirez, Jorge; Sood, Vijay K.

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Other Electrical ...

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Environmental En ...; and Energy Systems

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Mechanical Engin ...; and Energy Engineeri ...

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.