scholarly journals Optimal model for additional operation of the storage system for photovoltaic wind power plants

2020 ◽  
Vol 220 ◽  
pp. 01080
Author(s):  
E.B. Saitov

This paper discusses methods for modeling and optimizing photovoltaic and wind power plants for the integrated use of solar and wind energy. The results of modeling the dependence of the characteristics of the solar battery and wind power plants on the input parameters are presented. Changes in the output volt-ampere and power parameters depending on environmental conditions are considered. Various programming methods for mathematical modeling of power plants are presented. Methods for optimizing the output characteristics of solar cells by connecting shunt diodes are presented. The operation of solar panels is analyzed on the basis of mathematical modeling of processes. The influence of weather conditions, temperature, and light on the output parameters of solar installations was studied. The advantages of integrated use of solar and wind installations with an energy storage system are also considered. We consider the prediction of wind speeds based on various distribution functions.

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.


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.


2014 ◽  
Vol 29 (1) ◽  
pp. 204-214 ◽  
Author(s):  
Francisco Diaz-Gonzalez ◽  
Fernando D. Bianchi ◽  
Andreas Sumper ◽  
Oriol Gomis-Bellmunt

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 3065 ◽  
Author(s):  
Monika Sandelic ◽  
Daniel-Ioan Stroe ◽  
Florin Iov

This paper focuses on the sizing of a battery energy storage system providing frequency containment reserves in a power system with a large wind power penetration level. A three-stage sizing methodology including the different aspect of battery energy storage system performance is proposed. The first stage includes time-domain simulations, investigating battery energy storage system dynamic response and its capability of providing frequency reserves. The second stage involves lifetime investigation. An economic assessment of the battery unit is carried out by performing the last stage. The main outcome of the proposed methodology is to choose the suitable battery energy storage system size for providing frequency containment reserve from augmented wind power plants while fulfilling relevant evaluation criteria imposed for each stage.


Author(s):  
Linda Ponta ◽  
Luca Oneto ◽  
Davide Anguita ◽  
Silvano Cincotti

The paper deals with the problem of choosing the best O&M strategy for wind power plants. Current maintenance theory considers just production opportunities and minimizes the maintenance costs, but with the liberalization of the electricity market also the electricity price has become an important variable to take into account in the O&M scheduling. Another important variables that is often neglected by the existing maintenance theory is the weather condition. This paper proposes a new strategy that takes into account the electricity price and weather conditions, improves the expected profit of the systems, and reduce the overall maintenance and logistic costs. The maintenance schedule is formalized as an optimization problem where the discounted cumulative profit of a wind generation portfolio in a fixed-time horizon (e.g. two years ahead), subject to the technologically-derived maintenance time constraints is optimized. Both the theoretical and computational aspects of the proposed O&M strategy are discussed. Results show that taking into account market and weather opportunities in the design of the maintenance strategy, it is possible to achieve a more complete scheduling for a given set of wind power plants.


2019 ◽  
Vol 141 (03) ◽  
pp. 38-41 ◽  
Author(s):  
Efstathios E. Michaelides

Texas is proud of its oil and gas industry, but the state is blessed with abundant solar and wind power potential. Tapping that potential requires more than simply building out more wind turbines and solar panels–Texas will need a large, but achievable energy storage system. This study analyzes if Texas coulld become a green state in the future.


Author(s):  
Ciprian Carstea ◽  
Florin Butaru ◽  
Mihaela-Codruta Ancuti ◽  
Sorin Musuroi ◽  
Antheia Deacu ◽  
...  

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