scholarly journals Features of Electricity Distribution Using Energy Storage in Solar Photovoltaic Structure

2020 ◽  
Vol 57 (5) ◽  
pp. 18-29
Author(s):  
Y. Veremiichuk ◽  
O. Yarmoliuk ◽  
A. Pustovyi ◽  
A. Mahnitko ◽  
I. Zicmane ◽  
...  

AbstractThe intensive development of renewable energy, especially solar power and wind power plants, poses risks of disrupting the balance reliability of the grid. There is the need to develop electricity storage system area, first of all, due to the global tendency to increase the demand for electricity and the number of electricity generation from renewable sources. The issue of guaranteeing electricity supply to the consumer operating in the autonomous renewable source – energy storage device – consumer system is the main criterion when selecting the installed capacity of the generator on the basis of renewable sources and energy storage device capacity. Also, the application does not allow reducing voltage fluctuations in the renewable sources – the consumer system.

2020 ◽  
Vol 12 (24) ◽  
pp. 10257
Author(s):  
Ramin Sakipour ◽  
Hamdi Abdi

This study deals with the optimization of battery energy storage system (BESS) data in terms of significant characteristics of life and efficiency, and their positive impacts on power system efficiency in the presence of wind power plants in a microgrid. To this end, a permanent magnet synchronous generator (PMSG) is used to convert the wind energy by connecting a three-phase dynamic load to the grid. The main novelty of the proposed method is designing a smart backup battery branch to improve the efficiency of the wind farm by maintaining the operating constraints even during the occurrence of harsh faults in the generation section. Additionally, for the first time, the characteristics of the BESS are optimized using nine evolutionary algorithms, including the genetic algorithm (GA), teaching–learning-based optimization (TLBO), particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial bee colony (ABC), differential evolution (DE), grey wolf optimizer (GWO), moth–flame optimization algorithm (MFO), and sine cosine algorithm (SCA), and the results are compared with each other. The simulation results of a case study confirm the robustness of the proposed control strategy for the BESS.


2021 ◽  
Vol 264 ◽  
pp. 04053
Author(s):  
Bоboraim Urishev ◽  
Rumiya Beytullayeva ◽  
Аsror Umirov ◽  
Оybek Almardonov

The article discusses information on the need to accumulate energy from renewable sources to improve their efficiency, as well as some examples of the integration of systems for hydraulic energy storage and renewable sources, which ensure an increase in the reliability and volume of energy generation. The method for determining the parameters of a wind power plant's hydraulic energy storage system, which is based on the balance of the daily load produced and spent on energy storage, is presented. With changing daily loads, this technique makes it possible to determine the main parameters of the complex, including the volume of accumulated water, the coefficient of energy use of the wind power station. A functional diagram of the programmed control of the pumped storage and wind power plant parameters for the optimal use of the wind potential in hydraulic energy storage is presented. Based on the results of calculations using the proposed method, the main parameters of the system based on pumped storage and wind power plant with a capacity of 100 MW were determined, the efficiency of hydraulic energy storage was determined in comparison with lithium-ion batteries.


Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3394 ◽  
Author(s):  
Cuiping Li ◽  
Shining Zhang ◽  
Jiaxing Zhang ◽  
Jun Qi ◽  
Junhui Li ◽  
...  

With the increasing participation of wind generation in the power system, a wind power plant (WPP) with an energy storage system (ESS) has become one of the options available for a black-start power source. In this article, a method for the energy storage configuration used for black-start is proposed. First, the energy storage capacity for starting a single turbine was determined. Then, a hierarchical planning model was established. This model did not consider the starting efficiency of the WPP, but it did consider the layout of the energy storage in the WPP and the balance of the terminal voltage when starting the WPP. Finally, the feasibility and value of the proposed method and model were verified in a 49.5 MW WPP with an ESS (a power rating of 2.24 MW and energy capacity of about 1.68 MWh). The result suggests that configuring an ESS with a small capacity on the side of the turbine can achieve black-start for a WPP with an ESS as the power source.


SIMULATION ◽  
1969 ◽  
Vol 13 (3) ◽  
pp. 155-164 ◽  
Author(s):  
Billy H. Easter

To harness the energy contained in such unconventional sources as winds, tides, and sunlight, a power system must incorporate an energy storage device to act as a buffer between the source and the load. Since the size of the energy storage device depends upon the relative timing of the availability of energy and the load demand, a system simulation is a logical approach to the study and design of power systems using these unconventional en ergy sources. GPSS is presented as an excellent simula tion vehicle. The physical properties to be simulated are discussed and the resulting GPSS programs are presented. Some proposed applications for these power systems are presented.


2014 ◽  
Vol 530-531 ◽  
pp. 1003-1006 ◽  
Author(s):  
Jin Liu ◽  
Shu Qiang Zhao

In order to maximize the match between the output of the Hybrid Wind/Photovoltaic/ Energy storage System and the scheduling curve,the article takes the measure that optimizes and controls the energy storage device one day ahead.Due to the fuzziness of the wind and photovoltaic output, the optimal control method of energy storage is proposed based on a fuzzy dependent-chance programming theory. This method considers the constraints of the energy storage device including the power output and energy constrain, and the matching degree of each time is represented by credibility value.So the final goal is maximizing the mean value of the total credibility within a day of 96 periods.The genetic algorithm based fuzzy simulation is used to solve the model,then we can get the different periods of energy storage charge and discharge power corresponding to the credibility of maximum mean value.


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