scholarly journals Performance Analysis of a Stand-Alone PV/WT/Biomass/Bat System in Alrashda Village in Egypt

2021 ◽  
Vol 11 (21) ◽  
pp. 10191
Author(s):  
Hoda Abd El-Sattar ◽  
Salah Kamel ◽  
Hamdy Sultan ◽  
Marcos Tostado-Véliz ◽  
Ali M. Eltamaly ◽  
...  
Keyword(s):  
Hybrid System ◽  
Storage System ◽  
Optimal Solution ◽  
Grey Wolf Optimizer ◽  
Storage Unit ◽  
Renewable Power ◽  
First Case ◽  
Cost Of Energy ◽  
Battery Bank ◽  
Sooty Tern

This paper presents an analysis and optimization of an isolated hybrid renewable power system to operate in the Alrashda village in the Dakhla Oasis, which is situated in the New Valley Governorate in Egypt. The proposed hybrid system is designed to integrate a biomass system with a photovoltaic (PV), wind turbine (WT) and battery storage system (Bat). Four different cases are proposed and compared for analyzing and optimizing. The first case is a configuration of PV and WT with a biomass system and battery bank. The second case is the integration of PV with a biomass system and battery bank. The third case is WT integrated with biomass and a battery bank, and the fourth case is a conventional PV, WT, and battery bank as the main storage unit. The optimization is designed to reduce component oversizing and ensure the dependable control of power supplies with the objective function of reducing the levelized cost of energy and loss of power supply probability. Four optimization algorithms, namely Heap-based optimizer (HBO), Franklin’s and Coulomb’s algorithm (CFA), the Sooty Tern Optimization Algorithm (STOA), and Grey Wolf Optimizer (GWO) are utilized and compared with each other to ensure that all load demand is met at the lowest energy cost (COE) for the proposed hybrid system. The obtained results revealed that the HBO has achieved the best optimal solution for the suggested hybrid system for case one and two, with the minimum COE 0.121171 and 0.1311804 $/kWh, respectively, and with net present cost () of $3,559,143 and $3,853,160, respectively. Conversely, STOA has achieved the best optimal solution for case three and four, with a COE of 0.105673 and 0.332497 $/kWh, and an NPC of $3,103,938 and $9,766,441, respectively.

scholarly journals Optimal Grid-Connected PV System for a Campus Microgrid

2018 ◽  
Vol 12 (3) ◽  
pp. 899 ◽  
Author(s):  
Mohammed Reyasudin Basir Khan ◽  
Jagadeesh Pasupuleti ◽  
Jabbar Al-Fattah ◽  
Mehrdad Tahmasebi
Keyword(s):  
Hybrid System ◽  
Renewable Resources ◽  
System Development ◽  
Input Parameter ◽  
Storage System ◽  
Battery Storage ◽  
Pv System ◽  
Load Profile ◽  
Cost Of Energy ◽  
Hybrid Optimization Model

<span lang="EN-US">This paper discusses on the implementation of a grid-connected PV system for university campus in Malaysia. The primary goal of this study is to develop a grid-connected microgrid comprises of Photovoltaic (PV) and a battery storage system to meet the campus load demand and minimize grid dependency. The microgrid modeled and simulated in Hybrid Optimization Model for Electrical Renewable (HOMER) software. Actual load profile and renewable resources were used as an input parameter for the hybrid system. The campus selected is Universiti Kuala Lumpur, British Malaysian Institute as it represents typical load profile for a small campus. Therefore, the results can be used to represent hybrid system development for other small campuses in Malaysia as well. Firstly, optimal sizing of renewable energy (RE) were simulated with respect to total Net Present Cost (NPC) and Cost of Energy (COE). Then, sensitivity analysis conducted to determine the system performance based on changes of load growth, and renewable resources. The results demonstrate optimal HRES combinations for the campus microgrid comprises of 50 kWp of PV generations with 50 kW inverter. However, inclusion of 576 kWh battery storage system will increase the NPC but has higher RE penetration.</span>

An Environmentally Friendly University Library Based on Renewable Hybrid Energy Systems

2018 ◽  
Vol 9 (06) ◽  
pp. 20459-20474 ◽  
Author(s):  
Bahtiyar DURSUN
Keyword(s):  
Fuel Cell ◽  
Hybrid System ◽  
Assessment Tool ◽  
Energy Systems ◽  
Power Converter ◽  
Optimal Configuration ◽  
Energy Potential ◽  
Harmful Emission ◽  
Renewable Power ◽  
Cost Of Energy

This paper presents a techno-economic analysis of hybrid renewable energy systems (HRES) to supply the electrical load requirements of the Central Library of Istanbul Esenyurt University located in Istanbul, Turkey. The standalone HRES (PV/Wind/Fuel Cell/Electrolyzer, PV/Fuel Cell/Electrolyzer and Wind/Fuel Cell/Electrolyzer etc.) considered in the analysis were comprised of different combinations of PV modules, Fuel Cell and wind turbines supplemented with hydrogen storage. Meanwhile, wind and solar energy potential in Esenyurt region in Istanbul is fairly appropriate for supplying energy requirements of some places with no high electricity load like libraries. In this study, the HOMER software is used as the assessment tool to determine the optimal configuration of HRES taking total net present cost (NPC) and cost of energy (CoE) into consideration. As a result, it is determined that the optimal system configuration of standalone Wind/PV/Fuel Cell/Electrolyzer hybrid renewable power generation system with the lowest total NPC consists of 25kW PV array, 40kW Wind turbine, 20kW Fuel Cell, 25kW power converter, 50kW electrolyzer and 100kg hydrogen tank and also that total NPC and CoE of the optimal configuration are estimated to be $809,442, $2.040/kWh, respectively.  Renewable fraction of the hybrid system is 100%. Electricity generated through this hybrid system is completely clear and no harmful emission gases in this hybrid system are generated and there is no contribution of the HRES to the pollution of environment.

Load Management System with Integration of Renewable Energy Resources

2021 ◽  
Vol 13 (6) ◽  
Author(s):  
Faizan Rashid ◽  
◽  
Adeel Gilany ◽  
Saim Rasheed ◽  
Hamza Nisar ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Hybrid System ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Resources ◽  
Load Management ◽  
Renewable Energy Resources ◽  
Storage Unit

This article presents, a load management system is designed and implemented to integrate renewable energy resources (RES) (solar and wind), which manage the load according to the supply/demand and the user's priorities. The system is implemented on a hybrid system integrating wind energy, solar energy, utility supply, and battery energy storage system. Load management is carried out via switching of the loads. The sources can also be turned ON and OFF. During excess power, the battery module works as an energy storage unit or backup energy supply unit during demand. Loads can be turned ON and OFF wirelessly via GSM. The grid operator can switch the loads by simply sending a command via a short service message (SMS). In the end, the system is tested, and the results are presented. The hybrid system is simulated in MATLAB/Simulink first and then hardware implementation is carried out, which involves integrating renewable resources via converters and load management by switching using a microcontroller (Arduino).

Cost advantage of adjustable-speed pumped storage unit for daily operation in distributed hybrid system

2021 ◽  
Author(s):  
Chen Feng ◽  
Yuan Zheng ◽  
Chaoshun Li ◽  
Zijun Mai ◽  
Wei Wu ◽  
...  
Keyword(s):  
Hybrid System ◽  
Cost Advantage ◽  
Storage Unit ◽  
Adjustable Speed ◽  
Pumped Storage

scholarly journals Optimal Coordinated Planning of Energy Storage and Tie-Lines to Boost Flexibility with High Wind Power Integration

2021 ◽  
Vol 13 (5) ◽  
pp. 2526
Author(s):  
Fahad Alismail ◽  
Mohamed A. Abdulgalil ◽  
Muhammad Khalid
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Integration ◽  
Planning Strategy ◽  
Demand Growth ◽  
Wind Power Integration ◽  
Renewable Power ◽  
Tie Lines

Since renewable power is intermittent and uncertain, modern grid systems need to be more elegant to provide a reliable, affordable, and sustainable power supply. This paper introduces a robust optimal planning strategy to find the location and the size of an energy storage system (ESS) and feeders. It aims to accommodate the wind power energy integration to serve the future demand growth under uncertainties. The methodology was tested in the IEEE RTS-96 system and the simulation results demonstrate the effectiveness of the proposed optimal sizing strategy. The findings validate the improvements in the power system reliability and flexibility.

A new meta-heuristic optimization algorithm based on a paradigm from physics: string theory

2021 ◽  
Vol 41 (1) ◽  
pp. 1657-1675
Author(s):  
Luis Rodriguez ◽  
Oscar Castillo ◽  
Mario Garcia ◽  
Jose Soria
Keyword(s):  
String Theory ◽  
Optimization Algorithm ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Optimization Problems ◽  
Flower Pollination Algorithm ◽  
Grey Wolf Optimizer ◽  
Mathematical Functions ◽  
Inference System ◽  
First Case

The main goal of this paper is to outline a new optimization algorithm based on String Theory, which is a relative new area of physics. The String Theory Algorithm (STA) is a nature-inspired meta-heuristic, which is based on studies about a theory stating that all the elemental particles that exist in the universe are strings, and the vibrations of these strings create all particles existing today. The newly proposed algorithm uses equations based on the laws of physics that are stated in String Theory. The main contribution in this proposed method is the new techniques that are devised in order to generate potential solutions in optimization problems, and we are presenting a detailed explanation and the equations involved in the new algorithm in order to solve optimization problems. In this case, we evaluate this new proposed meta-heuristic with three cases. The first case is of 13 traditional benchmark mathematical functions and a comparison with three different meta-heuristics is presented. The three algorithms are: Flower Pollination Algorithm (FPA), Firefly Algorithm (FA) and Grey Wolf Optimizer (GWO). The second case is the optimization of benchmark functions of the CEC 2015 Competition and we are also presenting a statistical comparison of these results with respect to FA and GWO. In addition, we are presenting a third case, which is the optimization of a fuzzy inference system (FIS), specifically finding the optimal design of a fuzzy controller, where the main goal is to optimize the membership functions of the FIS. It is important to mention that we used these study cases in order to analyze the proposed meta-heuristic with: basic problems, complex problems and control problems. Finally, we present the performance, results and conclusions of the new proposed meta-heuristic.

scholarly journals A Hybrid PV-Battery/Supercapacitor System and a Basic Active Power Control Proposal in MATLAB/Simulink

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 129 ◽  
Author(s):  
Mustafa Ergin Şahin ◽  
Frede Blaabjerg
Keyword(s):  
Renewable Energy ◽  
Power Control ◽  
Hybrid System ◽  
Storage System ◽  
Energy Systems ◽  
Energy Generation ◽  
Active Power ◽  
Active Power Control ◽  
Matlab Simulink ◽  
Two Sides

An increase in the integration of renewable energy generation worldwide brings along some challenges to energy systems. Energy systems need to be regulated following grid codes for the grid stability and efficiency of renewable energy utilization. The main problems that are on the active side can be caused by excessive power generation or unregulated energy generation, such as a partially cloudy day. The main problems on the load side can be caused by excessive or unregulated energy demand or nonlinear loads which deteriorate the power quality of the energy networks. This study focuses on the energy generation side as active power control. In this study, the benefits of supercapacitor use in a hybrid storage system are investigated and analyzed. A hybrid system in which photovoltaic powered and stored the energy in battery and supercapacitor are proposed in this study to solving the main problems in two sides. The supercapacitor model, photovoltaic model, and the proposed hybrid system are designed in MATLAB/Simulink for 6 kW rated power. Also, a new topology is proposed to increase the energy storage with supercapacitors for a passive storage system. The instantaneous peak currents energy is aimed to store in supercapacitors temporarily with this topology. The main advantages of this topology are voltage stabilization in two sides by the supercapacitors and a limitation of the battery load, which directly results in longer battery life and decreases the system cost. The simulation results are investigated for this topology.

Energy Storage Control Based on Wind Farm

2012 ◽  
Vol 268-270 ◽  
pp. 933-936
Author(s):  
Xiao Dong Wang ◽  
Jin Hua Zhu ◽  
Ying Ming Liu ◽  
Hong Fang Xie
Keyword(s):  
Energy Storage ◽  
Wind Farm ◽  
Storage System ◽  
Energy Storage System ◽  
Network Capacity ◽  
Vanadium Redox Flow Battery ◽  
Energy Management Strategy ◽  
Storage Unit ◽  
Energy Storage Unit ◽  
Farm System

With the increase in wind power generation and network capacity, Wind farm power fluctuations on the grid greatly. In order to improve the operational stability of wind farm grid, at its outlet to increase the energy storage system for the new environmentally friendly vanadium redox flow battery (VRB) to effectively regulate the grid power. According to the VRB equivalent mathematical model using a bidirectional DC/AC converter as VRB storage system power regulator, the corresponding charge discharge control and energy management strategy are designed , and grid-connected wind farm system with VRB energy storage unit are modeled and simulated. Simulation results show that the fluctuations in wind speed Circumstances, the VRB energy storage system can quickly and effectively smooth the fluctuations of the active power of the wind farm output, and can provide reactive support to the grid, effectively improve the operating performance of wind farm.

scholarly journals Effective Separation of a Water in Oil Emulsion from a Direct Contact Latent Heat Storage System

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2264 ◽  
Author(s):  
Sebastian Ammann ◽  
Andreas Ammann ◽  
Rebecca Ravotti ◽  
Ludger Fischer ◽  
Anastasia Stamatiou ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Latent Heat ◽  
Direct Contact ◽  
Heat Storage ◽  
Storage System ◽  
Heat Transfer Fluid ◽  
Storage Unit ◽  
Latent Heat Storage ◽  
Oil Emulsion ◽  
Water In Oil Emulsion

The problem of emulsification between Phase Change Material (PCM) and Heat Transfer Fluid (HTF) in direct contact latent heat storage systems has been reported in various studies. This issue causes the PCM to flow out of the storage tank and crystallize at unwanted locations and thus presents a major limitation for the proper operation of such systems. These anomalies become more pronounced when high HTF flow rates are employed with the aim to achieve fast heat transfer rates. The goal of this paper is to find a method which will enable the fast separation of the formed emulsion and thus the uninterrupted operation of the storage unit. In this study, three separation methods were examined and the use of superhydrophobic filters was chosen as the best candidate for the demulsification of the PCM and HTF mixtures. The filter was produced by processing of a melamine sponge with different superhydrophobic adhesives and was tested with emulsions closely resembling the ones formed in a real direct contact setup. The superhydrophobic filter obtained, was able to separate the emulsions effectively while presenting a very high permeability (up to 1,194,980 kg h−1 m−2 bar−1). This is the first time the use of a superhydrophobic sponge has been investigated in the context of demulsification in direct contact latent heat storage.

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