scholarly journals An Improved Heap-Based Optimizer for Optimal Design of a Hybrid Microgrid Considering Reliability and Availability Constraints

2021 ◽  
Vol 13 (18) ◽  
pp. 10419
Author(s):  
Mohammed Kharrich ◽  
Salah Kamel ◽  
Mohamed H. Hassan ◽  
Salah K. ElSayed ◽  
Ibrahim B. M. Taha
Keyword(s):  
Energy System ◽  
Grey Wolf Optimizer ◽  
Optimal Size ◽  
Fuel Price ◽  
Hybrid Microgrid ◽  
Hybrid Renewable Energy System ◽  
Availability Constraints ◽  
Study Results ◽  
Solution Methods ◽  
Hybrid Renewable Energy

The hybrid microgrid system is considered one of the best solution methods for many problems, such as the electricity problem in regions without electricity, to minimize pollution and the depletion of fossil sources. This study aims to propose and implement a new algorithm called improved heap-based optimizer (IHBO). The objective of minimizing the microgrid system cost is to reduce the net present cost while respecting the reliability, power availability, and renewable fraction factors of the microgrid system. The results show that the PV/diesel/battery hybrid renewable energy system (HRES) gives the best solution, with a net present cost of MAD 120463, equivalent to the energy cost of MAD 0.1384/kWh. The reliability is about 3.89%, the renewable fraction is about 95%, and the power availability is near to 99%. The optimal size considered is represented as 167.3864 m2 of PV area, which is equivalent to 44.2582 kW and 3.8860 kW of diesel capacity. The study results show that the proposed optimization algorithm of IHBO is better than the artificial electric field algorithm, the grey wolf optimizer, Harris hawks optimization, and the original HBO algorithm. A comparison of the net present cost with a different fuel price is carried out, in which it is observed that the net present cost is reduced even though its quantity used is mediocre.

Enhanced whale optimization algorithm for sizing of hybrid wind/photovoltaic/diesel with battery storage in Algeria desert

2021 ◽  
pp. 0309524X2110565
Author(s):  
Adel Yahiaoui ◽  
Abdelhalim Tlemçani
Keyword(s):  
Renewable Energy ◽  
Optimization Algorithm ◽  
Optimization Problem ◽  
Energy System ◽  
Whale Optimization Algorithm ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Hybrid Renewable Energy System ◽  
Whale Optimization ◽  
Hybrid Renewable Energy

This paper focuses on the optimization and operation of the renewable energy power sources for electrification of isolated rural city in Algeria desert. For this purpose, a system composed by photovoltaic (PV), wind turbine (WT), diesel generator (DG), and battery bank (BB) as well as for storing the energy in the electrical form to meet the load. In the present paper we are interested in evolutionary algorithms for solving optimization problem of hybrid renewable energy system. A new meta-heuristic algorithm namely whale optimization algorithm (WOA) is used to solve optimization problem of cost of energy (COE) and total net present cost (TNPC) including reliability evaluation by using basic probabilistic concept in order to find Loss of Power Supply Probability (LPSP). The WOA mimics the social behavior of humpback whales. This algorithm is inspired by the bubble-net hunting strategy. Three recent algorithms, particle swarm optimization (PSO), grey wolf optimizer (GWO), and modified grey wolf optimizer (M-GWO) are also implemented in this work. For examining the accuracy, stability, and robustness of proposed optimization technique two case studies have been tested. The results of simulations and comparison with other methods exhibit high accuracy and validity of the proposed whale optimization algorithm to solve optimization problem of hybrid renewable energy system.

Optimal Sizing of Hybrid Renewable Energy Sytems Using a Hydrogen Storage System for Various Power Demand Applications

2012 ◽  
Author(s):  
Zachariah Iverson ◽  
Ajit Achuthan ◽  
Pier Marzocca ◽  
Daryush Aidun
Keyword(s):  
Renewable Energy ◽  
Data Center ◽  
Search Algorithm ◽  
Storage System ◽  
Energy System ◽  
System Model ◽  
Optimal Size ◽  
Power Demand ◽  
Hybrid Renewable Energy System ◽  
Hybrid Renewable Energy

Hybrid systems consisting of a single or multiple renewable energy generators coupled with an environmentally-friendly storage system are used in renewable power production due to wide disparity between the intermittent power generated and the power demand. These systems also have the potential to provide 24/7 power without leaving a carbon footprint in operation. Finding the optimal size of a Hybrid Renewable Energy System (HRES) with no Loss of Power Supply (LPS) is of utmost concern when considering the Levelized Cost of Energy (LCE) of the system over its lifecycle. In this study, an optimization routine employing a search algorithm is developed to find the system configuration with a minimized LCE that meets also meets zero LPS. To this end, a system model is developed by integrating basic models of the subsystems. The system model is then used to investigate two different loading cases, 1) where the demand cannot be controlled as in the case of the power demand of a residential network, and 2) where the demand can be controlled up to certain limits, as in the case of the power demand of a data center or a data center network. Various types of controllable power demands (CoD) are studied. When compared to the power demand of a residential network, results demonstrate a significant reduction in the life cycle costs for CoD conditions.

scholarly journals Techno-Economic Analysis of a Novel Hydrogen-Based Hybrid Renewable Energy System for Both Grid-Tied and Off-Grid Power Supply in Japan: The Case of Fukushima Prefecture

2020 ◽  
Vol 10 (12) ◽  
pp. 4061 ◽  
Author(s):  
Naoto Takatsu ◽  
Hooman Farzaneh
Keyword(s):  
Renewable Energy ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Economic Assessment ◽  
Energy System ◽  
Modeling Framework ◽  
Integrated Simulation ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

After the Great East Japan Earthquake, energy security and vulnerability have become critical issues facing the Japanese energy system. The integration of renewable energy sources to meet specific regional energy demand is a promising scenario to overcome these challenges. To this aim, this paper proposes a novel hydrogen-based hybrid renewable energy system (HRES), in which hydrogen fuel can be produced using both the methods of solar electrolysis and supercritical water gasification (SCWG) of biomass feedstock. The produced hydrogen is considered to function as an energy storage medium by storing renewable energy until the fuel cell converts it to electricity. The proposed HRES is used to meet the electricity demand load requirements for a typical household in a selected residential area located in Shinchi-machi in Fukuoka prefecture, Japan. The techno-economic assessment of deploying the proposed systems was conducted, using an integrated simulation-optimization modeling framework, considering two scenarios: (1) minimization of the total cost of the system in an off-grid mode and (2) maximization of the total profit obtained from using renewable electricity and selling surplus solar electricity to the grid, considering the feed-in-tariff (FiT) scheme in a grid-tied mode. As indicated by the model results, the proposed HRES can generate about 47.3 MWh of electricity in all scenarios, which is needed to meet the external load requirement in the selected study area. The levelized cost of energy (LCOE) of the system in scenarios 1 and 2 was estimated at 55.92 JPY/kWh and 56.47 JPY/kWh, respectively.

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