scholarly journals Fully Flexible Loads in Distributed Energy Management: PV, Batteries, Loads, and Value Stacking in Virtual Power Plants

Engineering ◽  
2020 ◽  
Vol 6 (7) ◽  
pp. 736-738 ◽  
Author(s):  
Andrew Mears ◽  
James Martin
Keyword(s):  
Energy Management ◽  
Power Plants ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plants ◽  
Distributed Energy Management ◽  
Flexible Loads

scholarly journals Systematic Categorization of Optimization Strategies for Virtual Power Plants

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6251
Author(s):  
Amit Kumer Podder ◽  
Sayemul Islam ◽  
Nallapaneni Manoj Kumar ◽  
Aneesh A. Chand ◽  
Pulivarthi Nageswara Rao ◽  
...  
Keyword(s):  
Energy Management ◽  
Electricity Market ◽  
Power Distribution ◽  
Power Plants ◽  
Optimal Operation ◽  
Optimization Techniques ◽  
Virtual Power ◽  
Distributed Energy ◽  
Intelligent Technique ◽  
Virtual Power Plants

Due to the rapid growth in power consumption of domestic and industrial appliances, distributed energy generation units face difficulties in supplying power efficiently. The integration of distributed energy resources (DERs) and energy storage systems (ESSs) provides a solution to these problems using appropriate management schemes to achieve optimal operation. Furthermore, to lessen the uncertainties of distributed energy management systems, a decentralized energy management system named virtual power plant (VPP) plays a significant role. This paper presents a comprehensive review of 65 existing different VPP optimization models, techniques, and algorithms based on their system configuration, parameters, and control schemes. Moreover, the paper categorizes the discussed optimization techniques into seven different types, namely conventional technique, offering model, intelligent technique, price-based unit commitment (PBUC) model, optimal bidding, stochastic technique, and linear programming, to underline the commercial and technical efficacy of VPP at day-ahead scheduling at the electricity market. The uncertainties of market prices, load demand, and power distribution in the VPP system are mentioned and analyzed to maximize the system profits with minimum cost. The outcome of the systematic categorization is believed to be a base for future endeavors in the field of VPP development.

scholarly journals Energy management of virtual power plants dependent on electro-economical model

2020 ◽  
Vol 11 (3) ◽  
pp. 643-649 ◽  
Author(s):  
Fatma El Zahraa Magdy ◽  
Doaa Khalil Ibrahim ◽  
Waheed Sabry
Keyword(s):  
Energy Management ◽  
Power Plants ◽  
Virtual Power ◽  
Virtual Power Plants

scholarly journals Stochastic Mixed-Integer Programming (SMIP)-Based Distributed Energy Resource Allocation Method for Virtual Power Plants

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 67
Author(s):  
Rakkyung Ko ◽  
Sung-Kwan Joo
Keyword(s):  
Renewable Energy ◽  
Power Plants ◽  
Renewable Energy Sources ◽  
Energy Resource ◽  
Mixed Integer ◽  
Virtual Power ◽  
Distributed Energy ◽  
Distributed Energy Resource ◽  
Stochastic Mixed Integer Programming ◽  
Virtual Power Plants

Virtual power plants (VPPs) have been widely researched to handle the unpredictability and variable nature of renewable energy sources. The distributed energy resources are aggregated to form into a virtual power plant and operate as a single generator from the perspective of a system operator. Power system operators often utilize the incentives to operate virtual power plants in desired ways. To maximize the revenue of virtual power plant operators, including its incentives, an optimal portfolio needs to be identified, because each renewable energy source has a different generation pattern. This study proposes a stochastic mixed-integer programming based distributed energy resource allocation method. The proposed method attempts to maximize the revenue of VPP operators considering market incentives. Furthermore, the uncertainty in the generation pattern of renewable energy sources is considered by the stochastic approach. Numerical results show the effectiveness of the proposed method.

Method for the operation planning of virtual power plants considering forecasting errors of distributed energy resources

2016 ◽  
Vol 98 (4) ◽  
pp. 347-354 ◽  
Author(s):  
Torsten Sowa ◽  
Maria Vasconcelos ◽  
Armin Schnettler ◽  
Michael Metzger ◽  
Alexander Hammer ◽  
...  
Keyword(s):  
Power Plants ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Operation Planning ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plants ◽  
Forecasting Errors

Microgrids and virtual power plants: Concepts to support the integration of distributed energy resources

2008 ◽  
Vol 222 (7) ◽  
pp. 731-741 ◽  
Author(s):  
D Pudjianto ◽  
C Ramsay ◽  
G Strbac
Keyword(s):  
Power Plants ◽  
Test System ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Ancillary Service ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plants ◽  
Efficient Integration ◽  
Cost Efficient

This article presents the concepts of the microgrid and the virtual power plant (VPP) as vehicles to facilitate cost-efficient integration of distributed energy resources (DERs) into the existing power system. These concepts were designed to enhance the system value and the controllability of DER and to provide frameworks for the development of interfaces among energy and ancillary service resources, system operators, and energy market participants. Through aggregation, DER access to energy markets is facilitated, and DER-based system support and ancillary services can be provided. By enabling this additional functionality, it is envisaged that system performance measured in the form of energy efficiency, power quality, security, and economic operation can be improved. In this paper, the technical and commercial functionality facilitated through the microgrid and VPP concepts is described. The paper concludes with case studies demonstrating the application of the concepts on a test system.

scholarly journals An approach to balance state of charges of distributed batteries in virtual power plants

2018 ◽  
Vol 56 (1) ◽  
pp. 81
Author(s):  
Duc Huu Nguyen
Keyword(s):  
Power Plant ◽  
Power Plants ◽  
State Of Charge ◽  
Energy Sources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Virtual Power Plant ◽  
Virtual Power Plants ◽  
Balance State ◽  
The Difference

Small distributed energy sources could be aggregated to form a virtual power plant (VPP) in order to overall improve technical and market issues. VPPs should be composed of several distributed batteries (DB) to solve the problem of intermittency due to wind and solar. This paper presents an approach to balance state of charge batteries. It is therefore to improve the lifetime of batteries in VPPs. According to the proposed method, the real-time SOC of DB will be tracking on the balancing SOC determined in VPP. During operation, the difference of SOC among DBs will be shrunk and finally the share of exchange power among DB is equal. Moreover, the duration time to achieve the balancing SOC can be determined by adjusting the exponent parameter of SOC in the presented function.

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