Cost analysis of a power system using probabilistic optimal power flow with energy storage integration and wind generation

Author(s):  
Amirsaman Arabali ◽  
Mahmoud Ghofrani ◽  
Mehdi Etezadi-Amoli
2020 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Hossein Ebrahimi ◽  
Mehdi Abapour ◽  
Behnam Mohammadi-Ivatloo ◽  
Sajjad Golshannavaz

2019 ◽  
Vol 44 (3) ◽  
pp. 227-238
Author(s):  
Ulagammai Meyyappan

The rapid growth of wind power poses new challenges for power system operators and electricity marketers. The benefits of using wind power are emission reduction and decrease in consumption of conventional resources. But the inherent nature of wind energy poses challenges in the power system operation and planning. In order to consider the wind power as firm power, auxiliary energy storage is added as a backup to encounter the variations in wind power. In this article, optimal power flow with wind and energy storage is developed. The energy storage systems are installed as a standby of wind generators to meet the demand consistently. The objective is to minimize the loss by optimal location and sizing of energy storage systems. With the optimally located energy storage systems, optimal power flow is carried out using shuffled frog-leaping algorithm technique and tested on IEEE 30 bus system.


2020 ◽  
Vol 12 (12) ◽  
pp. 31-43
Author(s):  
Tatiana A. VASKOVSKAYA ◽  
◽  
Boris A. KLUS ◽  

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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