scholarly journals Research on Optical Energy Storage System Based on Rule Logic Control

2021 ◽  
Vol 237 ◽  
pp. 02003
Author(s):  
Lu Yan ◽  
Rui Xu ◽  
Xin Zhang
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Power Balance ◽  
Storage Battery ◽  
Tracking Accuracy ◽  
Dc Bus ◽  
Bus Voltage

Photovoltaic energy storage system is composed of photovoltaic power generation, energy storage battery, load and power grid, it has researched on different modes of bi-directional DC/AC converter, taking into account a variety of photovoltaic output fluctuations, energy storage battery charging and discharging management, load increasing and decreasing, etc. Aiming at the energy management strategy, using DC bus voltage fluctuation as the basis of energy layer mobilization, the power balance control based on regular control is proposed. Compared with the DC bus voltage level energy management, the power tracking accuracy is further improved and energy loss is reduced. Finally, through MATLAB/Simulink being in off/connected model and the charging/discharging model, the effectiveness of the energy control strategy was verified separately by simulation. The simulation results show that: the proposed control strategy can improve the power tracking accuracy and reduce the energy loss of the system; the proposed strategy guarantees the bidirectional exchange of system energy and maintains the power balance in the network, the DC bus voltage is stable, and the energy storage battery achieves smooth power output and peak load shifting.

scholarly journals A control strategy for battery/supercapacitor hybrid energy storage system

2021 ◽  
Vol 2108 (1) ◽  
pp. 012091
Author(s):  
Congzhen Xie ◽  
Jigang Wang ◽  
Bing Luo ◽  
Xiaolin Li ◽  
Lei Ja
Keyword(s):  
Energy Storage ◽  
Control Strategy ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System ◽  
Dc Bus ◽  
Bus Voltage

Abstract In DC microgrid (MG), the hybrid energy storage system (HESS) of battery and supercapacitor (SC) has the important function of buffering power impact, which comes from renewable energy sources (RES) and loads. This paper proposes a HESS control strategy with DC bus voltage self-recovery function. High and low frequency power decomposition based on virtual droop control, and DC bus drop voltage is compensated by added proportional integral regulation. The relationship between DC bus voltage recovery and super-capacitor (SC) state of charge (SoC) recovery is analyzed. The system can realize stable energy storage, supply under frequent load power impact. The effectiveness of the proposed control strategy is verified by simulation in MATLAB/Simulink.

Based on the Hybrid Energy Storage System in the Application of Stable DC Bus Voltage

2014 ◽  
Vol 953-954 ◽  
pp. 765-770
Author(s):  
Yang Yang Wu ◽  
You Kuan Liu ◽  
Pei Tian
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Storage Unit ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Photovoltaic Array ◽  
Hybrid Energy Storage System ◽  
Dc Bus ◽  
Bus Voltage

Due to the large number of distributed power supply random connected to power grid, it has severely influenced on power quality of the grid. In the storage battery directly on the basis of the DC bus, adopting the method of hybrid energy storage system makes a research on the output characteristics of photovoltaic array and the charging and discharging of battery and super capacitor. Research results show that the hybrid energy storage system can take advantage of the DC/DC converter to coordinate photovoltaic array, energy storage unit and the energy flows among load, also that the stability of DC bus voltage can be ensured by the system switch from the different work patterns.

scholarly journals DC-bus energy management of a converter-interfaced renewable energy source comprising an energy storage system

2021 ◽  
Author(s):  
Francisco Jesús Matas-Díaz ◽  
Umer Mushtaq ◽  
Andrei Mihai Gross ◽  
Alvaro Rodríguez del Noza ◽  
Milos Cvetkovic ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage System ◽  
Energy Storage System ◽  
Ancillary Services ◽  
Voltage Source ◽  
Dc Bus

The increasing penetration of renewable energy sources is strongly linked to the development of voltage source converters used in their connection to the grid. As a result, in the near future of an inverter-dominated power system it will be a requirement for renewable generation to provide ancillary services in order to compensate for the absence of synchronous generation. In this scenario, the use of energy storage systems along with advanced control algorithms mimicking the dynamic behaviour of the traditional generators will be of utmost importance. This paper deals with a renewable energy source interfaced with a voltage source converter and comprising an energy storage system in the DC bus. Particularly, a new energy management algorithm for the DC-bus based on a three levels hierarchical control is proposed, which is able to simultaneously provide ancillary services, maintain the state of charge of the storage system within the permissible limits and use it to control the DC bus voltage. The control strategy is validated experimentally using a prototype with results evidencing a reliable and stable operation.

Fuzzy Control Based Study on Energy Management System of Electric Vehicle with Dual-Energy Storage System

2014 ◽  
Vol 898 ◽  
pp. 896-899
Author(s):  
Zhi Yu Huang ◽  
Xiao Hua Pu
Keyword(s):  
Energy Storage ◽  
Fuzzy Control ◽  
Electric Vehicle ◽  
Energy Management ◽  
Control Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Dual Energy ◽  
Energy Management System ◽  
Fuzzy Control Strategy

Regarding to the electric vehicle (EV) with dual-energy storage system (DESS) composed of batteries and ultra-capacitors, study on the structure and drive modes of DESS, after a detailed analysis of energy storage system based on power, resistance and constraints in driving, establish a mathematical model of energy management system of EV with DESS, and an energy management based on the fuzzy control strategy is designed. Finally, a simulation of EV with DESS by using ADVISOR simulation platform is studied, whose results show that the EV with DESS based on fuzzy control strategy can be more effective in distributing power between energy storage systems, and the dynamic performance as well as economic efficiency are also improved

scholarly journals DC-bus energy management of a converter-interfaced renewable energy source comprising an energy storage system

2021 ◽  
Author(s):  
Francisco Jesus Matas-Diaz ◽  
Umer Mushtaq ◽  
Andrei Mihai Gross ◽  
Alvaro Rodriguez del Nozal ◽  
Milos Cvetkovic ◽  
...  
Keyword(s):  
Energy Source ◽  
Renewable Energy Source ◽  
Renewable Energy ◽  
Energy Storage ◽  
Energy Management ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Bus

Implementation of a predictive energy management strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles

2021 ◽  
pp. 1-11
Author(s):  
Qiao Zhang ◽  
Xiaoliang Cheng ◽  
Shaoyi Liao
Keyword(s):  
Energy Storage ◽  
Energy Management ◽  
Control Strategy ◽  
Management Strategy ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management Strategy ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Hybrid Energy Storage System

Hybrid energy storage system supplies a feasible solution to battery peak current reduction by introducing supercapacitor as auxiliary energy source. Energy management control strategy is a key technology for guaranteeing performance. In this paper, we describe a predictive energy management strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles. To utilize the supercapacitor reasonably, Markov chain model is proposed to predict the future load power during a driving cycle. The predictive results are subsequently used by power distribution strategy, which is designed using a low-pass filter and a fuzzy logic controller. The strategy model is developed under MATLAB/Simulink software environment. To validate the performance of the proposed control strategy, a comparison test is implemented based on a 72 V rated voltage hybrid energy storage system experimental platform. The results indicate that the battery peak currents by proposed predictive control strategy are reduced by 26.32%, 28.21% and 27.12% under the UDDS, SC03 and NEDC three driving cycles respectively.

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