scholarly journals Research on Application of Non-Isolated Three-Port Switching Boost Converter in Photovoltaic Power Generation System

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 746 ◽  
Author(s):  
Shuo Liu ◽  
Ying Gao ◽  
Liyong Yang

This paper presents a non-isolated three-port switching boost converter and applies it to photovoltaic systems. The topology combines the characteristics of the switching boost network. By controlling three degrees of freedom, the ports have boost, buck, and buck-boost characteristics. It expands the three-port converter (TPC) working range with the advantages of simple structure, small size, and low cost. The operating mode and power flow direction of the TPC are determined according to the state of charge (SOC) of the energy storage system. Analyses of the working state of the topology in different working modes further verify the power flow of the system and explain its control strategy to complete the smooth switching of different working modes. Finally, the correctness of the above theory and its feasibility in photovoltaic system are verified by simulation and experiment.

Author(s):  
F. Slama ◽  
H. Radjeai ◽  
S. Mouassa ◽  
A. Chouder

Purpose. In last decade the problem of energy management system (EMS) for electric network has received special attention from academic researchers and electricity companies. In this paper, a new algorithm for EMS of a photovoltaic (PV) grid connected system, combined to an storage system is proposed for reducing the character of intermittence of PVs power which infect the stability of electric grid. In simulation model, the PV system and the energy storage system are connected to the same DC bus, whereas EMS controls the power flow from the PV generator to the grid based on the predetermined level of PV power. In the case where the PV power is less than the predefined threshold, energy is stored in the batteries banc which will be employed in the peak energy demand (PED) times. Otherwise, it continues to feed the principal grid. The novelty of the proposed work lies in a new algorithm (smart algorithm) able to determine the most suitable (optimal) hours to switching between battery, Solar PVs, and principal grid based on historical consumption data and also determine the optimal amount of storage energy that be injected during the peak demand. Methods. The solution of the problem was implemented in the Matlab R2010a Platform and the simulation conducted on Laptop with a 2.5 GHz processor and 4 GB RAM. Results. Simulation results show that the proposed model schedules the time ON/OFF of the switch in the most optimal way, resulting in absolute control of power electric path, i.e. precise adaptation at the peak without compromising consumers comfort. In addition, other useful results can be directly obtained from the developed scheme. Thus, the results confirm the superiority of the proposed strategy compared to other improved techniques.


2021 ◽  
Vol 22 (2) ◽  
pp. 191-204 ◽  
Author(s):  
Febin Daya John Lionel ◽  
Jacintha Dias ◽  
Mohan Krishna Srinivasan ◽  
Balamurugan Parandhaman ◽  
Prajof Prabhakaran

Abstract This paper proposes a novel non-isolated multi-input dc-dc boost converter for electrical vehicle application. A hybrid system balances the power of the system by using two or more sources. The power between the input sources can be flexibly distributed without any distortion. The charging or discharging of the energy storage systems by other input energy sources can also be monitored in a proper manner and is a feasible task. The design consists of only one inductor and the charging and discharging of the energy storage system decides the operation modes of the converter. In this paper, every operating mode has a small signal model that leads to the control system design for the converter. Simulation and experimental results are provided to prove the validity of the converter and the performance of its control system.


2021 ◽  
Author(s):  
Mervette El Batouti ◽  
H. A. Fetouh

New ferroelectric perovskite sample: excellent dielectric, negligible dielectric loss for energy storage systems such as solar cells, solar ponds, and thermal collectors has been prepared at low cost using nanotechnology.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1202
Author(s):  
Miguel Tradacete ◽  
Carlos Santos ◽  
José A. Jiménez ◽  
Fco Javier Rodríguez ◽  
Pedro Martín ◽  
...  

This paper describes a practical approach to the transformation of Base Transceiver Stations (BTSs) into scalable and controllable DC Microgrids in which an energy management system (EMS) is developed to maximize the economic benefit. The EMS strategy focuses on efficiently managing a Battery Energy Storage System (BESS) along with photovoltaic (PV) energy generation, and non-critical load-shedding. The EMS collects data such as real-time energy consumption and generation, and environmental parameters such as temperature, wind speed and irradiance, using a smart sensing strategy whereby measurements can be recorded and computing can be performed both locally and in the cloud. Within the Spanish electricity market and applying a two-tariff pricing, annual savings per installed battery power of 16.8 euros/kW are achieved. The system has the advantage that it can be applied to both new and existing installations, providing a two-way connection to the electricity grid, PV generation, smart measurement systems and the necessary management software. All these functions are integrated in a flexible and low cost HW/SW architecture. Finally, the whole system is validated through real tests carried out on a pilot plant and under different weather conditions.


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