scholarly journals Optimal Sizing of Isolated Microgrid Containing Photovoltaic/Photothermal/Wind/Diesel/Battery

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Guo Zhao ◽  
Tianhua Cao ◽  
Yudan Wang ◽  
Huirui Zhou ◽  
Chi Zhang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Optimization Model ◽  
Energy System ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Sizing Optimization ◽  
Climate Conditions ◽  
Solution Sets ◽  
Hybrid Renewable Energy System

The establishment of isolated microgrid is of great significance in solving power supply problems in offshore islands or remote mountainous areas. Aiming at the isolated microgrid containing photovoltaic, photothermal, wind, diesel, and energy storage, a three-objective sizing optimization model of the microgrid is proposed considering comprehensive economy cost, deficiency of power supply probability (DPSP), and renewable energy discard rate (REDR). The three-objective sizing optimization model was solved by the improved multiobjective grey wolf optimization algorithm. An island was taken as an example to optimize the sizing of the microgrid, and the rationality of the proposed three-objective model was verified. The feasibility of the improved multiobjective grey wolf optimization (IMOGWO) was verified by comparing with the multiobjective grey wolf optimization (MOGWO). Three representative solution sets and a set of compromise solution sets are obtained by simulation, and the results satisfied the load demand. And the DPSP and the REDR are reduced by 7.55% and 6.29% by using the IMOGWO. The designed and analyzed hybrid renewable energy system model might be applicable to around the world having similar climate conditions.

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.

DESIGN AND POWER QUALITY ANALYSIS OF HYBRID RENEWABLE ENERGY SYSTEM FOR THO CHU ISLAND, VIETNAM

2020 ◽  
pp. 66-75
Author(s):  
Le Duc Tung
Keyword(s):  
Renewable Energy ◽  
Environmental Pollution ◽  
Power Supply ◽  
Renewable Energy Sources ◽  
Energy System ◽  
Quality Analysis ◽  
Technical Solution ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

Using renewable energy sources for providing electricity in remote area is an economical-technical solution and reduces environmental pollution. Tho Chu island, Phu Quoc district, Kien Giang province, is currently supplied by diesel generators, causing environmental pollution and high-power generation costs. This article presents hybrid renewable energy system (HRES) design including diesel generator, photovoltaic system and energy storage system for Tho Chu Island. In addition to calculating and selecting of equipment, ensuring power supply for the load, the paper also examines the frequency and voltage quality, considers the harmonic distortion of the power supply system. The simulation results obtained from PYsyst and Matlab/Simulink software show the effectiveness of the HRES.

scholarly journals Constraint multi-objective optimal design of hybrid renewable energy system considering load characteristics

2021 ◽  
Author(s):  
Yingfeng Chen ◽  
Rui Wang ◽  
Mengjun Ming ◽  
Shi Cheng ◽  
Yiping Bao ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Energy System ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Load Demand ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Load Characteristics ◽  
Hybrid Renewable Energy

AbstractFinding the optimal size of a hybrid renewable energy system is certainly important. The problem is often modelled as an multi-objective optimization problem (MOP) in which objectives such as annualized system cost, loss of power supply probability etc. are minimized. However, the MOP model rarely takes the load characteristics into account. We argue that ignoring load characteristics may be inappropriate when designing HRES for a place with intermittent high load demand. For example, in a training base the load demand is high when there are training tasks while the demand decreases to a low level when there is no training task. This results in an interesting issue, that is, when the loss of power supply probability is determined at a specific value, say 15%, then it is very likely that most of loss of power supply would occur right in the training period which is unexpected. Therefore, this study proposes a constraint multi-objective model to deal with this issue—in addition to the general multi-objective optimization model, the loss of power supply probability over a critical period is set as a constraint. Correspondingly, the non-dominated sorting genetic algorithm II with a relaxed $$\epsilon $$ ϵ constraint handling strategy is proposed to address the constraint MOP. Experimental results on a real world application demonstrate that the proposed model and algorithm are both effective and efficient.

scholarly journals Techno-economic and environmental design of an optimal hybrid energy system for a community multimedia centre in Cameroon

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Franck Armel Talla Konchou ◽  
Hermann Djeudjo Temene ◽  
René Tchinda ◽  
Donatien Njomo
Keyword(s):  
Renewable Energy ◽  
Power Supply ◽  
Energy System ◽  
Energy Deficit ◽  
Environmental Aspect ◽  
Hybrid Energy ◽  
Cost Of Electricity ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

AbstractHybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents the optimal design of a hybrid renewable energy system regarding the technical aspect that is Loss of Power Supply Probability (LPSP), economic aspect that is Cost of Electricity (COE) and Net Present Cost (NPC) and environmental aspect that is Total Greenhouse gases emission (TGE) aspects using a multi-objective Particle Swarm Optimization algorithm for a Community multimedia center in MAKENENE, Cameroon. Optimal configurations including Photovoltaic (PV), Wind, Battery and Diesel generator (DG), separated into Scenarios 1–7 of hybrid energy systems are tested to have the most appropriate Scenario. Scenario 3 (Hybrid system with PV, Battery and DG) with Loss of Power Supply Probability, Cost of Electricity, Net Present Cost and Emission of 0.003%, 0.132 $/kWh, 38,817.7 $ and 2.2 kg/year respectively is found to be the most appropriate for the Community multimedia center.

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