scholarly journals Power Management Strategy for Active Power Sharing in Hydro/PV/Battery Hybrid Energy System

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Sweeka Meshram ◽  
Ganga Agnihotri ◽  
Sushma Gupta
Keyword(s):  
Power Management ◽  
Rural Areas ◽  
Management Strategy ◽  
Energy System ◽  
Active Power ◽  
Power Sharing ◽  
Pv System ◽  
Power Requirement ◽  
Hybrid Energy ◽  
Power Management Strategy

Simulation and modeling of standalone DC linked hydro/PV/battery hybrid energy system (HES) and power management strategy (PMS) for identifying the active power sharing have been done. The performance analysis of the proposed HES and its power management strategy has been done using the simulink toolboxes of MATLAB software. The proposed system consists of 10 kW PV system, 7.5 kW hydro system, battery, and power condition unit. In some remote/rural areas, it is very difficult to satisfy the demand of electrical power throughout the year with the power grid. In such areas, the power requirement can be fulfilled by renewable energy system such as hydro or PV system. Either the hydro system or PV system is not capable of supplying power requirement throughout the year as both systems are intermittent. Hence, the judicious combination of hydro and PV system has been modeled for electrification. The power management strategy is modeled to manage the power flow of the energy systems and battery to fulfill the load demand. The presented results clearly show that the proposed HES and its control strategy are suitable for implementation in remote/rural areas.

scholarly journals Power Management Control Strategy Based on Artificial Neural Networks for Standalone PV Applications with a Hybrid Energy Storage System

Energies ◽  
2019 ◽  
Vol 12 (5) ◽  
pp. 902 ◽  
Author(s):  
João Faria ◽  
José Pombo ◽  
Maria Calado ◽  
Sílvio Mariano
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Management Strategy ◽  
Storage Systems ◽  
Li Ion Batteries ◽  
Pv System ◽  
Hybrid Energy ◽  
Hybrid Energy Storage ◽  
Power Management Strategy ◽  
Li Ion

Standalone microgrids with photovoltaic (PV) solutions could be a promising solution for powering up off-grid communities. However, this type of application requires the use of energy storage systems (ESS) to manage the intermittency of PV production. The most commonly used ESSs are lithium-ion batteries (Li-ion), but this technology has a low lifespan, mostly caused by the imposed stress. To reduce the stress on Li-ion batteries and extend their lifespan, hybrid energy storage systems (HESS) began to emerge. Although the utilization of HESSs has demonstrated great potential to make up for the limitations of Li-ion batteries, a proper power management strategy is key to achieving the HESS objectives and ensuring a harmonized system operation. This paper proposes a novel power management strategy based on an artificial neural network for a standalone PV system with Li-ion batteries and super-capacitors (SC) HESS. A typical standalone PV system is used to demonstrate and validate the performance of the proposed power management strategy. To demonstrate its effectiveness, computational simulations with short and long duration were performed. The results show a minimization in Li-ion battery dynamic stress and peak current, leading to an increased lifespan of Li-ion batteries. Moreover, the proposed power management strategy increases the level of SC utilization in comparison with other well-established strategies in the literature.

A Power Management Strategy for Hybrid Photovoltaic Diesel System with Battery Storage

2016 ◽  
Vol 5 (1) ◽  
pp. 35-47
Author(s):  
Taoufik Ben Mohamed el Harry Mhamdi ◽  
Sbita Lassad
Keyword(s):  
Diesel Engine ◽  
Power Management ◽  
Management Strategy ◽  
Storage System ◽  
Energy System ◽  
Storage Device ◽  
Battery Storage ◽  
Storage Unit ◽  
Hybrid Energy ◽  
Power Management Strategy

This paper proposes a DC-AC-linked hybrid diesel/photovoltaic (PV)/battery storage system for stand-alone applications. PV is the primary power source. A diesel engine is used as a backup and a battery as storage device. An overall power management strategy is designed to manage power flows among the different energy sources and the storage unit. A configuration of diesel-engine generator and photovoltaic hybrid systems is evaluated based on technical constraints. A sizing of different component is established. A simulation model for the hybrid energy system has been developed. The system performance under different scenarios has been verified by carrying out studies using a load demand profile.

scholarly journals Modeling, Control and Power Management Strategy of a Grid connected Hybrid Energy System

2018 ◽  
Vol 8 (3) ◽  
pp. 1345 ◽  
Author(s):  
Sujit Kumar Bhuyan ◽  
Prakash Kumar Hota ◽  
Bhagabat Panda
Keyword(s):  
Fuel Cell ◽  
Power Management ◽  
Storage Tank ◽  
Power Flow ◽  
Management Strategies ◽  
Energy System ◽  
Pv System ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Load Demand

This paper presents the detailed modeling of various components of a grid connected hybrid energy system (HES) consisting of a photovoltaic (PV) system, a solid oxide fuel cell (SOFC), an electrolyzer and a hydrogen storage tank with a power flow controller. Also, a valve controlled by the proposed controller decides how much amount of fuel is consumed by fuel cell according to the load demand. In this paper fuel cell is used instead of battery bank because fuel cell is free from pollution. The control and power management strategies are also developed. When the PV power is sufficient then it can fulfill the load demand as well as feeds the extra power to the electrolyzer. By using the electrolyzer, the hydrogen is generated from the water and stored in storage tank and this hydrogen act as a fuel to SOFC. If the availability of the power from the PV system cannot fulfill the load demand, then the fuel cell fulfills the required load demand. The SOFC takes required amount of hydrogen as fuel, which is controlled by the PID controller through a valve. Effectiveness of this technology is verified by the help of computer simulations in MATLAB/SIMULINK environment under various loading conditions and promising results are obtained.

Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage

2015 ◽  
Vol 34 (1) ◽  
pp. 173-188 ◽  
Author(s):  
Marek Michalczuk ◽  
Bartlomiej Ufnalski ◽  
Lech M. Grzesiak
Keyword(s):  
Energy Source ◽  
Fuzzy Logic ◽  
Energy Storage ◽  
Electric Vehicle ◽  
Power Management ◽  
Management Strategy ◽  
Content Type ◽  
Hybrid Energy ◽  
Management Algorithm ◽  
Power Management Strategy

Purpose – The purpose of this paper is to provide high-efficiency and high-power hybrid energy source for an urban electric vehicle. A power management strategy based on fuzzy logic has been introduced for battery-ultracapacitor (UC) energy storage. Design/methodology/approach – The paper describes the design and construction of on-board hybrid source. The proposed energy storage system consists of battery, UCs and two DC/DC interleaved converters interfacing both storages. A fuzzy-logic controller (FLC) for the hybrid energy source is developed and discussed. Control structure has been tested using a non-mobile experimental setup. Findings – The hybrid energy storage ensures high-power ability. Flexibility and robustness offered by the FLC give an easy accessible method to provide a power management algorithm extended with additional input information from road infrastructure or other vehicles. In the presented research, it was examined that using information related to the topography of the road in the control structure helps to improve hybrid storage performance. Research limitations/implications – The proposed control algorithm is about to be validated also in an experimental car. Originality/value – Exploratory studies have been provided to investigate the benefits of energy storage hybridization for electric vehicle. Simulation and experimental results confirm that the combination of lithium batteries and UCs improves performance and reliability of the energy source. To reduce power impulses drawn from the battery, power management algorithm takes into consideration information on slope of a terrain.

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