scholarly journals An Energy Storage Performance Improvement Model for Grid-Connected Wind-Solar Hybrid Energy Storage System

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Rui Zhu ◽  
An-lei Zhao ◽  
Guang-chao Wang ◽  
Xin Xia ◽  
Yaopan Yang
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Generation System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Hybrid Power ◽  
Power Generation System

This study introduces a supercapacitor hybrid energy storage system in a wind-solar hybrid power generation system, which can remarkably increase the energy storage capacity and output power of the system. In the specific solution, this study combines the distributed power generation system and the hybrid energy storage system, while using the static reactive power compensation system and the conductance-fuzzy dual-mode control method to increase output power in stages. At the same time, the optimal configuration model of the wind-solar hybrid power generation system is established using MATLAB/Simulink software. The output power of the microgrid to the wind-photovoltaic hybrid power generation system is calculated by simulation, and the optimization process of each component of the system is simulated. This study mainly uses the static reactive power compensation system and the conductance-fuzzy dual-mode control method to optimize the wind-solar hybrid power generation system. Using MATLAB software simulation verifies the feasibility and rationality of the optimal configuration of the system.

Optimal Control of Hybrid Energy Storage System of New Energy Power Generation System Based on Improved Particle Swarm Algorithm

2022 ◽  
Author(s):  
Shangzhou Zhang
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Storage System ◽  
Particle Swarm ◽  
Energy Storage System ◽  
Particle Swarm Algorithm ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Swarm Algorithm

In order to ensure the stability and reliability of power supply and realize day and night power generation, wind and solar complementary power generation systems are built in areas with abundant solar and wind energy resources. However, the system investment cost is too high. Because of this, there are wind, light intermittent, and non-intermittent power generation systems. For issues such as stability, an energy storage system needs to be configured to stabilize power fluctuations. This paper aims to study the optimization control of hybrid energy storage system of new energy power generation system based on improved particle swarm algorithm. In this paper, the application of particle swarm algorithm to power system reactive power optimization has been researched in two aspects. Through optimization methods, reasonable adjustment of control variables, full use of equipment resources of the power grid, to improve voltage quality and reduce system operation network to ensure the stability of the voltage system. In addition, this paper selects the IEEE30 node test system and simulation data analysis, takes the hybrid energy storage system as the optimization object, and optimizes the reactive power of the newly improved particle swarm algorithm. The experiments in this paper show that the improved algorithm has a good effect in reactive power optimization, increasing the performance of the hybrid energy storage system by 27.02%. MPSO algorithm is also better than basic PSO algorithm. It can be seen from the figure that in the PSO algorithm, the algorithm basically tends to be stable after more than 40 iterations, and finally the algorithm converges to 0.089.

Investigation of Hybrid Renewable Energy Source and Hybrid Energy Storage System

2019 ◽  
pp. 1-19
Keyword(s):  
Power Generation ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Sources ◽  
Generation System ◽  
Hybrid Energy ◽  
Flow Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Power ◽  
Power Generation System

There are many renewable energy sources in nature today. The most commonly used of these are solar, wave, wind and flow energy. The weakest aspect of these renewable energy sources in nature is that the amount of energy produced depends on the nature conditions. The power generation capacities of these energy sources depending on the weather conditions in order to more stable them are necessary to combine. By combining more than one renewable energy source, a hybrid power generation system is created. Hybrid energy storage units are added to this hybrid power generation system to ensure persistence of energy. In this study, sea flow energy and offshore wind energy are combined and a hybrid power generation system has been created. In addition, a hybrid energy storage unit consisting of a battery and ultracapacitor has been created in order to ensure the persistence of the energy produced. All two hybrid units were simulated using MATLAB/Simulink program. By integrating these systems with each other, their dynamic behaviors were investigated under possible working conditions. The results of the simulation show that the hybrid energy storage unit supports the wind and sea flow energy.

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