Distributed optimization model and algorithms for virtual energy storage systems using dynamic price. (20th March 2021)
- Record Type:
- Journal Article
- Title:
- Distributed optimization model and algorithms for virtual energy storage systems using dynamic price. (20th March 2021)
- Main Title:
- Distributed optimization model and algorithms for virtual energy storage systems using dynamic price
- Authors:
- Kang, Wenfa
Chen, Minyou
Li, Qiang
Lai, Wei
Luo, Yanyu
Tavner, Peter J. - Abstract:
- Abstract: Virtual energy storage systems (VESS) are important new equipment for distribution networks, consisting of battery energy storage systems (BESS) or flexible loads (FL), that improve peak shaving, frequency regulation and energy management. This paper focuses on power management and real-time control for multiple virtual energy storage systems (MVESS). To enhance renewable energy penetration using competing objective functions in MVESS, a distributed multi-objective power management scheme is proposed, where a Nash Bargaining Solution (NBS) is used to find optimal, unique and fair solutions. A distributed integral optimization algorithm, with fast convergence, is designed to solve the NBS-based problem, containing equality and inequality constraints. Distributed real time control for MVESS is proposed to increase system efficiency and control State of Energy (SoE) and proportional power sharing between BESS and FL. The mathematical analysis guarantees optimality and convergence for the two proposed algorithms. To evaluate the performance of the strategy, three different case studies were executed on a real time digital simulator (OPAL-RT OP5600). Finally, the simulation results demonstrate that system power was shared optimally between VESS, with proportional power sharing among BESS and FL and SoE synchronization. Graphical abstract: The physical model of MVESS which integrates battery energy storage systems, flexible and inflexible loads, wind generators andAbstract: Virtual energy storage systems (VESS) are important new equipment for distribution networks, consisting of battery energy storage systems (BESS) or flexible loads (FL), that improve peak shaving, frequency regulation and energy management. This paper focuses on power management and real-time control for multiple virtual energy storage systems (MVESS). To enhance renewable energy penetration using competing objective functions in MVESS, a distributed multi-objective power management scheme is proposed, where a Nash Bargaining Solution (NBS) is used to find optimal, unique and fair solutions. A distributed integral optimization algorithm, with fast convergence, is designed to solve the NBS-based problem, containing equality and inequality constraints. Distributed real time control for MVESS is proposed to increase system efficiency and control State of Energy (SoE) and proportional power sharing between BESS and FL. The mathematical analysis guarantees optimality and convergence for the two proposed algorithms. To evaluate the performance of the strategy, three different case studies were executed on a real time digital simulator (OPAL-RT OP5600). Finally, the simulation results demonstrate that system power was shared optimally between VESS, with proportional power sharing among BESS and FL and SoE synchronization. Graphical abstract: The physical model of MVESS which integrates battery energy storage systems, flexible and inflexible loads, wind generators and photovoltaic sources. And corresponding communication network G composed of Agents. Image 1 … (more)
- Is Part Of:
- Journal of cleaner production. Volume 289(2021)
- Journal:
- Journal of cleaner production
- Issue:
- Volume 289(2021)
- Issue Display:
- Volume 289, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 289
- Issue:
- 2021
- Issue Sort Value:
- 2021-0289-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-03-20
- Subjects:
- Virtual energy storage system -- State of energy synchronization -- Proportional power sharing -- Distributed optimization power management
Factory and trade waste -- Management -- Periodicals
Manufactures -- Environmental aspects -- Periodicals
Déchets industriels -- Gestion -- Périodiques
Usines -- Aspect de l'environnement -- Périodiques
628.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09596526 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jclepro.2020.125440 ↗
- Languages:
- English
- ISSNs:
- 0959-6526
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.369720
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26523.xml