scholarly journals Nonlinear inverse demand curves in electricity market modeling

2022 ◽  
pp. 105809
Author(s):  
Yi Wan ◽  
Tom Kober ◽  
Martin Densing
Keyword(s):  
Electricity Market ◽  
Demand Curves ◽  
Inverse Demand

SHORT-TERM EFFECTS OF THE CLOSURE OF COAL-FIRED POWER PLANTS ON THE SPANISH ELECTRICITY MARKET

2021 ◽  
Vol 10 (1) ◽  
pp. [11 p.]-[11 p.]
Author(s):  
JUAN ANTONIO BALLESTEROS GALLARDO ◽  
FERNANDO NUÑEZ
Keyword(s):  
Electricity Market ◽  
Power Plants ◽  
Supply And Demand ◽  
Real Data ◽  
Comparative Statics ◽  
Wholesale Market ◽  
Power Stations ◽  
Demand Curves ◽  
Hourly Data ◽  
Ecological Transition

ABSTRACT: This article analyses the effect of the closure of the Spanish coal-fired power stations on the price and quantity of energy sold in the daily electricity market. The comparative statics analysis is based on the hourly data of energy offer and demand bids published by the OMIE (Operator of the Iberian Energy Market) and made by the participants in the daily electricity market during the year 2018. Our analysis does not require any simulation of the market supply and demand curves, since they are obtained by aggregation using real data from the wholesale market. The main conclusion of our analysis is that, after the closure of the coal-fired stations, the hourly price of energy would increase 12,06% on average while the average amount of energy would decrease 2,57%. Keywords: Price of electricity; coal plants; ecological transition; supply and demand surpluses; renewable energy.

Designing the Electricity Market with Energy Storage Devices

2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  
Keyword(s):  
Energy Storage ◽  
Electricity Market ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Storage Systems ◽  
Energy System ◽  
Energy Storage Systems ◽  
Storage Model ◽  
Optimal Power ◽  
Wide Range

The development of energy storage systems allows us to consider their usage for load profile leveling during operational planning on electricity markets. The paper proposes and analyses an application of an energy storage model to the electricity market in Russia with the focus on the day ahead market. We consider bidding, energy storage constraints for an optimal power flow problem, and locational marginal pricing. We show that the largest effect for the market and for the energy storage system would be gained by integration of the energy storage model into the market’s optimization models. The proposed theory has been tested on the optimal power flow model of the day ahead market in Russia of 10000-node Unified Energy System. It is shown that energy storage systems are in demand with a wide range of efficiencies and cycle costs.

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