scholarly journals Optimal, Reliable and Cost-Effective Framework of Photovoltaic-Wind-Battery Energy System Design Considering Outage Concept Using Grey Wolf Optimizer Algorithm—Case Study for Iran

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 182611-182623 ◽  
Author(s):  
Amirreza Naderipour ◽  
Zulkurnain Abdul-Malek ◽  
Masoud Zahedi Vahid ◽  
Zahra Mirzaei Seifabad ◽  
Mohammad Hajivand ◽  
...  
Keyword(s):  
System Design ◽  
Cost Effective ◽  
Energy System ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Battery Energy

scholarly journals Optimal Design of a Standalone Hybrid Energy System for a COVID-19 Quarantine Center Energization

2021 ◽  
Author(s):  
Hala El-Khozondar ◽  
Fady El-batta ◽  
Rifa EL-Khozondar ◽  
Mansour Alramlawi
Keyword(s):  
System Design ◽  
Cost Effective ◽  
Energy System ◽  
Decision Makers ◽  
Hybrid Energy ◽  
Utility Company ◽  
Harmful Emissions ◽  
Important Means ◽  
Reliable Solution

Abstract This work is motivated by the need to overcome the electricity crises in Gaza that is initiated in Gaza due to political reasons. In addition, it is related to current situation in the world in particular the spread of COVID-19. Building quarantine centers is one of the most important means used in combating the Corona epidemic, but connecting these centers to the electricity distribution network at the appropriate time is not always possible and increases the burden on the local utility company. This paper proposed a Hybrid off-grid Energy System (HES) to effectively energies the quarantine centers economically and environmentally. To achieve this aim, the load profile of the quarantine center is estimated, the system components are modeled and the system design is optimized. In addition, the developed approach was tested using a real case study considering realistic input data. HOMER-pro program is used to simulate and optimize the system design. The results revealed the potential of the HES to provide environment-friendly, cost-effective, and affordable electricity for the studied quarantine center, as compared to only diesel generators system. For the considered case study, it is found that the PV-Wind-Diesel hybrid power system is able to cover the connected load with the lowest cost in comparison to other possible HES structures. It also environmentally friendly as it has the least harmful emissions. Finally, it is proved that the developed approach gives a reasonable solution to the decision-makers to find a fast, economic and reliable solution to energies the quarantine centers.

scholarly journals Optimal Sizing of an Island Hybrid Microgrid Based on Improved Multi-Objective Grey Wolf Optimizer

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1581
Author(s):  
Wenqiang Zhu ◽  
Jiang Guo ◽  
Guo Zhao ◽  
Bing Zeng
Keyword(s):  
Power Supply ◽  
Tidal Current ◽  
System Optimization ◽  
Energy System ◽  
Energy Sources ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Energy System ◽  
Hybrid Energy ◽  
Multi Objective

The hybrid renewable energy system is a promising and significant technology for clean and sustainable island power supply. Among the abundant ocean energy sources, tidal current energy appears to be very valuable due to its excellent predictability and stability, particularly compared with the intermittent wind and solar energy. In this paper, an island hybrid energy microgrid composed of photovoltaic, wind, tidal current, battery and diesel is constructed according to the actual energy sources. A sizing optimization method based on improved multi-objective grey wolf optimizer (IMOGWO) is presented to optimize the hybrid energy system. The proposed method is applied to determine the optimal system size, which is a multi-objective problem including the minimization of annualized cost of system (CACS) and deficiency of power supply probability (DPSP). MATLAB software is utilized to program and simulate the hybrid energy system. Optimization results confirm that IMOGWO is feasible to optimally size the system, and the energy management strategy effectively matches the requirements of system operation. Furthermore, comparison of hybrid systems with and without tidal current turbines is undertaken to confirm that the utilization of tidal current turbines can contribute to enhancing system reliability and reducing system investment, especially in areas with abundant tidal energy sources.

Case study of green energy system design for a multi-function building in campus

2011 ◽  
Vol 1 (3) ◽  
pp. 152-163 ◽  
Author(s):  
S. Deng ◽  
Y.J. Dai ◽  
R.Z. Wang ◽  
X.Q. Zhai
Keyword(s):  
System Design ◽  
Energy System ◽  
Green Energy

scholarly journals Grey Wolf Optimizer-Based Approaches to Path Planning and Fuzzy Logic-based Tracking Control for Mobile Robots

2020 ◽  
Vol 15 (3) ◽  
Author(s):  
Radu-Emil Precup ◽  
Emil-Ioan Voisan ◽  
Emil M. Petriu ◽  
Marius L. Tomescu ◽  
Radu-Codrut David ◽  
...  
Keyword(s):  
Path Planning ◽  
Mobile Robots ◽  
Tracking Control ◽  
Fuzzy Controller ◽  
Optimization Problems ◽  
Cost Effective ◽  
Grey Wolf Optimizer ◽  
Reference Trajectory ◽  
Grey Wolf ◽  
Wheeled Mobile Robots

This paper proposes two applications of Grey Wolf Optimizer (GWO) algorithms to a path planning (PaPl) problem and a Proportional-Integral (PI)-fuzzy controller tuning problem. Both optimization problems solved by GWO algorithms are explained in detail. An off-line GWO-based PaPl approach for Nonholonomic Wheeled Mobile Robots (NWMRs) in static environments is proposed. Once the PaPl problem is solved resulting in the reference trajectory of the robots, the paper also suggests a GWO-based approach to tune cost-effective PI-fuzzy controllers in tracking control problem for NWMRs. The experimental results are demonstrated through simple multiagent settings conducted on the nRobotic platform developed at the Politehnica University of Timisoara, Romania, and they prove both the effectiveness of the two GWO-based approaches and major performance improvement.

Maximum power point tracking and power flow management of hybrid renewable energy system with partial shading capability: A hybrid technique

2020 ◽  
Vol 42 (12) ◽  
pp. 2276-2296
Author(s):  
S Satheesh Kumar ◽  
A Immanuel Selvakumar
Keyword(s):  
Power Flow ◽  
Energy System ◽  
Grey Wolf Optimizer ◽  
Hybrid Technique ◽  
Grey Wolf ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

A grid connected hybrid energy system combining wind turbine (WT) and photovoltaic (PV) array generating system with energy storage system to supply continuous power to the load using hybrid technique is exhibited in this dissertation. The proposed hybrid technique is the joint execution of both the binary chaotic crow search optimizer (BCCSO) with grey wolf optimizer and random forest algorithm (GWORFA) and hence it is named as BCCSO-GWORFA technique. The main aim of the proposal is to optimally track the maximum power point tracking (MPPT) and to maintain the power flow of the grid connected HRES. Here, the BCCSO-based MPPT procedure optimizes the exact duty cycles required for the DC-DC converter of the PV under partial shading conditions and WT system under variable speed conditions based on the voltage and current parameters. On the other hand, the grey wolf optimizer (GWO) learning procedure-based random forest algorithm (RFA) predicts the control signals of the voltage source inverter (VSI) based on the active and reactive power variations available in the load side. To predict the control parameters, the proposed technique considers power balance constraints like RES accessibility, storage element state of charge, and load side power demand. The proposed strategy is implemented in MATLAB/Simulink working platform. The performance of the HRES is assessed by utilizing the comparison analysis with the existing techniques. The comparison results invariably prove the proposed hybrid technique effectiveness and confirm its potential to solve the related issues with efficiency of 99.5%.

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