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Optimal design of hybrid renewable-energy microgrid system:a techno-economic-environment-social-reliability perspective

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Clean Energy 2024年第1期8卷 66-83页

作者： Manoj Gupta Annapurna Bhargava Electrical Engineering Department Rajasthan Technical UniversityKotaRajasthan 324010India Electrical and Electronics Engineering Department IPS Academy Institute of Engineering and Science IndoreMadhya Pradesh 452012India

The main objective of this paper is to select the optimal model of a hybrid renewable-energy microgrid(MG)system for a village in *** MG comprises solar photovoltaic(PV)modules,a wind turbine generator,a biomass generator,a battery bank,a diesel generator and an electric *** optimal model selection is based on technical,economic,environmental,social and reliability parameters.A novel spoonbill swarm optimization algorithm is proposed to select the best hybrid MG *** optimization results are compared with particle swarm optimization,the genetic algorithm and the grasshopper optimization *** number or size of components of the optimized MG system is 215 PV modules,92 kW of wind turbine generation,25 kW of biomass generation,267 batteries,22 kW of electric vehicles and 30 kW of diesel *** optimized system was selected based on technical factors such as renewable dispersion(93.5%),the duty factor(5.85)and excess energy(15975 kWh/year)as well as eco-nomic considerations including the net present cost(Rs.34686622)and the cost of energy(9.3 Rs./kWh).Furthermore,environ-mental factors such as carbon emissions(396348 kg/year)and atmospheric particulate matter(22.686 kg/year);social factors such as the human progress index(0.68411),the employment generation factor(0.0389)and local employment generation(15.64643);and reliability parameters including loss of power supply probability(0.01%)and availability index(99.99%)were considered during the selection *** spoonbill swarm optimization algorithm has reduced the convergence time by 1.2 times and decreased the number of iterations by 0.83 times compared with other *** performance of the MG system is validated in the MATLAB®*** results show that the MG system is the optimal system considering technical,economic,environmental,social and reliability ***,the spoonbill swarm optimization algorithm is found to be more efficient than the other

关键词： cost of electricity microgrid reliability spoonbill techno-economic

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Economic Assessment of Standby Diesel Generator for Peak Reduction in Commercial and Industrial Buildings:A Case Study in Malaysia

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Journal of Electronic Science and Technology 2017年第4期15卷 400-406页

作者： Kein Huat Chua Yun Seng Lim Jee Xiong Chew Universiti Tunku Abdul Rahman Cheras 43000 Malaysia

This paper outlines the barriers and potential benefits of using standby diesel generators in mitigating the peak demands for commercial and industrial customers. The feasibility of utilizing the standby diesel generators to reduce the electricity bills for customers is carried out by using the hybrid optimization model for electric renewable(HOMER)software. The size of the standby diesel generator and its operational duration are determined based on the lowest cost of electricity obtained from the evaluations. The economic assessments demonstrate that there is potential to reduce the electricity bills for commercial and industrial customers under the existing fuel price and tariffs. The commercial customers under the tariff C2 have the highest potential to save their electricity bills with the use of standby diesel generators for peak reduction. This study demonstrates the potential of the standby diesel generators in peak reduction.

关键词： Commercial and industrial customers cost of electricity hybrid optimization model for electric renewable(HOMER) peak reduction standby diesel generator

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Consideration of some optimization techniques to design a hybrid energy system for a building in Cameroon

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Energy and Built Environment 2022年第2期3卷 233-249页

作者： Djeudjo Temene Hermann Talla Konchou Franck Armel TCHINDA René NJOMO Donatien Environmental Energy Technologies Laboratory(EETL) Department of PhysicsUniversity of Yaounde IP.O Box 812YaoundeCameroon URISIE University Institute of Technology Fotso VictorUniversity of DschangP.O Box 134BandjounCameroon

To solve the problem energy deficit encountered in developing countries,Hybrid Renewable Energy System(HRES)appears to be a very good *** paper presents the optimal design of a hybrid renewable energy system considering the technical i.e Loss of Power Supply Probability(LPSP),economic i.e cost of electricity(COE)and Net Present cost(NPC)and environmental i.e Total Greenhouse gases emission(TGE)aspects using Particle Swarm Optimization(PSO),hybrid Particle Swarm Optimization-Grey Wolf Optimization(PSOGWO),hybrid Grey-Wolf Optimization-Cuckoo Search(GWOCS)and Sine-Cosine Algorithm(SCA)for a Community multimedia center in MAKENENE,Cameroon;where inhabitants have to spend at times 3 to 4 days of *** configurations(Scenarios)of hybrid energy systems including PV,WT,Battery and Diesel generator are analyzed considering an average daily energy load of 50.22 kWh with a peak load of 5.6 *** values of the derating factor i.e 0.6,0.7,0.8 and 0.9 are used in this analysis and the best value is *** 3 with LPSP,COE,NPC,TGE and RF of 0.003%,0.15913$/kWh,46953.0485$,2.3406 kg/year and 99.8%respectively when using GWOCS is found to be the most appropriate for the Community multimedia *** optimal Scenario is obtained for a system comprising of 18 kW of P_(pv-rated)corresponding to 69 solar panels,3 days of AD corresponding to a total battery capacity of 241 kWh and 1 of N_(dg).

关键词： Hybrid renewable energy system Optimization Loss of power Supply probability cost of electricity Net present cost Emission of greenhouse gases

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Assessment of the Wind Energy Potential of Two Burundian Sites

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Energy and Power Engineering 2022年第5期14卷 181-200页

作者： Mathias Bashahu Pierre Nsabimana Juvenal Barakamfitiye Fidele Niyukuri Department of Physics and Technology University of Burundi Bujumbura Burundi Department of Mathematics Institute of Applied Pedagogy University of Burundi Bujumbura Burundi

1-year hourly wind speed data from two Burundian stations, namely Bujumbura and Muyinga, have been processed in this work to bring an efficient help for the planning and installation of wind energy conversion systems (WECS) at those localities. Mean seasonal and diurnal variations of wind direction and wind shear exponent have been derived. Two-parameter Weibull probability density functions (PDFs) fitting the observed monthly and annual wind speed relative frequency distributions have been implemented. As shown through three complementary statistical tests, the fitting technique was very satisfactory. A wind resource analysis at 10 m above ground level (AGL) has led to a mean power density at Bujumbura which is almost thirteen fold higher than at Muyinga. The use of the empirical power law to extrapolate wind characteristics at heights from 150 to 350 m AGL has shown that energy potential of hilltops around Muyinga was only suitable for small, individual scale wind energy applications. At the opposite, wind energy potential of ridge-tops and hilltops around Bujumbura has been found suitable for medium and large scale electricity production. For that locality and at those heights, energy outputs and capacity factors (CF or Cf) have been computed for ten selected wind turbines (WTs), together with costs of electricity (COE) using the present value of cost (PVC) method. Amongst those WTs, YDF-1500-87 and S95-2.1 MW have emerged as the best options for installation owing to their highest CF and lowest COE. Moreover, an analysis of those two quantities at monthly basis for YDF-1500-87 WT has led to its best performance in the dry season. Compared to the average present COE of household hydroelectricity consumption, results of this study have evidenced economical feasibility and benefit of WECS setting in selected Burundian sites in order to supplement traditional electricity sources.

关键词： Wind Shear Exponent Two-Parameter Weibull PDFs Statistical Tests Wind Energy Potential WT’s Energy Output and Capacity Factor cost of electricity Two Burundian Sites

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