scholarly journals Optimal Operation and Bidding Strategy of a Virtual Power Plant Integrated With Energy Storage Systems and Elasticity Demand Response

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 79798-79809 ◽  
Author(s):  
Wenjun Tang ◽  
Hong-Tzer Yang
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Demand Response ◽  
Storage Systems ◽  
Optimal Operation ◽  
Bidding Strategy ◽  
Virtual Power ◽  
Energy Storage Systems ◽  
Virtual Power Plant

Virtual Power Plant Management considering Energy Storage Systems and Multiple Power Sources

2012 ◽  
Vol 45 (21) ◽  
pp. 138-143
Author(s):  
Angelo R.R. de Souza ◽  
Alexandre R. Aoki ◽  
Antonio R. Donadon ◽  
Germano Lambert-Torres ◽  
Luiz Eduardo Borges da Silva ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Storage Systems ◽  
Plant Management ◽  
Virtual Power ◽  
Energy Storage Systems ◽  
Power Sources ◽  
Virtual Power Plant ◽  
Multiple Power

Virtual power plant management considering energy storage systems

2012 ◽  
Vol 45 (21) ◽  
pp. 132-137 ◽  
Author(s):  
P. Lombardi ◽  
T. Sokolnikova ◽  
Z. Styczynski ◽  
N. Voropai
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Storage Systems ◽  
Plant Management ◽  
Virtual Power ◽  
Energy Storage Systems ◽  
Virtual Power Plant

scholarly journals A Case Study on Distributed Energy Resources and Energy-Storage Systems in a Virtual Power Plant Concept: Economic Aspects

Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4447 ◽  
Author(s):  
Tomasz Sikorski ◽  
Michał Jasiński ◽  
Edyta Ropuszyńska-Surma ◽  
Magdalena Węglarz ◽  
Dominika Kaczorowska ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Economic Efficiency ◽  
Storage Systems ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Virtual Power ◽  
Distributed Energy ◽  
Energy Storage Systems ◽  
Virtual Power Plant

This paper analyzes the technical and economic possibilities of integrating distributed energy resources (DERs) and energy-storage systems (ESSs) into a virtual power plant (VPP) and operating them as a single power plant. The purpose of the study is to assess the economic efficiency of the VPP model, which is influenced by several factors such as energy price and energy production. Ten scenarios for the VPP were prepared on the basis of the installed capacities of a hydropower plant (HPP), rooftop solar photovoltaic (PV), and energy-storage system (ESS), as well as weather conditions, in Poland. On the basis of technical conditions, it was assumed that the maximum power capacity of the ESS equaled 1.5 MW. The economic efficiency analysis presented in this paper demonstrated that, in seven years, the VPP will achieve a positive value of the net present value (NPV) for a scenario with 0.5 MW battery storage and rainy summers. Furthermore, sensitivity analysis was conducted on price factors and DER production volume. The price variable had a major impact on the NPV value for all scenarios. The scenario with a 0.5 MW battery and typical summers was highly sensitive to all factors, and its sensitivity decreased as the ESS capacity grew from 0.5 to 1.5 MW.

scholarly journals Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Zhongfu Tan ◽  
Qingkun Tan ◽  
Yuwei Wang
Keyword(s):  
Energy Storage ◽  
Power Plant ◽  
Wind Power ◽  
Electricity Market ◽  
Power Plants ◽  
Bidding Strategy ◽  
Virtual Power ◽  
Power Station ◽  
Virtual Power Plant ◽  
Virtual Power Plants

For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid.

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