scholarly journals Fleetpower: Creating Virtual Power Plants in Sustainable Smart Electricity Markets

2017 ◽  
Author(s):  
Micha Kahlen ◽  
Wolfgang Ketter ◽  
Alok Gupta
Keyword(s):  
Electricity Markets ◽  
Power Plants ◽  
Virtual Power ◽  
Virtual Power Plants

Practice of Virtual Power Plants Participating in Electricity Markets in China

2021 ◽  
Author(s):  
Yaxuan Han ◽  
Heping Jia ◽  
Dunnan Liu ◽  
Xuanyuan Wang ◽  
Zhen Liu ◽  
...  
Keyword(s):  
Electricity Markets ◽  
Power Plants ◽  
Virtual Power ◽  
Virtual Power Plants

Optimisation and Management of Virtual Power Plants Energy Mix Trading Model

2021 ◽  
Vol 11 (1) ◽  
pp. 83-94
Author(s):  
Zahid Ullah ◽  
Nayyar Hussain Mirjat ◽  
Muhammad Baseer
Keyword(s):  
Electricity Markets ◽  
Electricity Market ◽  
Distribution System ◽  
Power Plants ◽  
Programming Model ◽  
Mixed Integer ◽  
Virtual Power ◽  
Study Approach ◽  
Virtual Power Plants ◽  
Trading Model

. In this study, a robust optimisation method (ROM) is proposed with aim to achieve optimal scheduling of virtual power plants (VPPs) in the day-ahead electricity markets where electricity prices are highly uncertain. Our VPP is a collection of various distributed energy resources (DERs), flexible loads, and energy storage systems that are coordinated and operated as a single entity. In this study, an offer and bid-based energy trading mechanism is proposed where participating members in the VPP setting can sell or buy to/from the day-ahead electricity market to maximise social welfare (SW). SW is defined as the maximisation of end-users benefits and minimisation of energy costs. The optimisation problem is solved as a mixed-integer linear programming model taking the informed decisions at various levels of uncertainty of the market prices. The benefits of the proposed approach are consistency in solution accuracy and traceability due to less computational burden and this would be beneficial for the VPP operators. The robustness of the proposed mathematical model and method is confirmed in a case study approach using a distribution system with 18-buses. Simulation results illustrate that in the highest robustness scenario, profit is reduced marginally, however, the VPP showed robustness towards the day-ahead market (DAM) price uncertainty

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