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Techno-economic analysis of a hybrid renewable energy system integrated with productive activities in an underdeveloped rural region of eastern Indonesia

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Clean energy 2023年第6期7卷 1247-1267页

作者： Alya Nurul Shafira Subhan Petrana Rahma Muthia Widodo Wahyu Purwanto Sustainable energy systems and Policy Research Cluster Universitas IndonesiaDepok16424Indonesia Chemical Engineering Department Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia Master Program in energy systems Engineering Faculty of EngineeringUniversitas IndonesiaDepok16424Indonesia

The Southwest Maluku region in eastern Indonesia is considered a frontier,outermost and underdeveloped *** inhabitants live on isolated islands,including the residents of Mahaleta Village,where only 9.4%of the community have limited access to *** study aimed to design an economically feasible hybrid renewable energy(RE)system based on solar and wind energy to integrate with the productive activities of the *** study developed conceptual schemes to meet the demand for electricity from the resi-dential,community,commercial and productive sectors of the *** analysis was performed using a techno-economic *** hybrid system was designed using the HOMER Pro optimization function,and cold-storage and dryer systems were designed to support related productive *** optimized design of the hybrid RE system comprised 271.62 kW of solar photovoltaics,80 kW of wind turbines and a 1-MWh lead-acid *** found that the hybrid RE system would only be economically feasible with a full-grant incentive and an electricity tariff of$0.0808/***,the productive activity schemes were all economically feasible,with a cold-storage cost of$0.035/kg and a drying cost of$0.082/*** the hybrid RE system with productive activities can improve the economic feasibility of the energy system and create more jobs as well as increase income for the local community.

关键词： underdeveloped region hybrid renewable energy system photovoltaics wind turbine Indonesia

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Maximum Power Extraction Control Algorithm for hybrid renewable energy system

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Computer systems Science & Engineering 2023年第4期45卷 769-784页

作者： N.Kanagaraj Mohammed Al-Ansi Electrical Engineering Department College of Engineering at Wadi AldawasirPrince Sattam Bin Abdulaziz UniversityWadi Aldawasir11991Saudi Arabia

In this research,a modified fractional order proportional integral derivate(FOPID)control method is proposed for the photovoltaic(PV)and thermoelectric generator(TEG)combined hybrid renewable energy *** faster tracking and steady-state output are aimed at the suggested maximum power point tracking(MPPT)control *** derivative order number(μ)value in the improved FOPID(also known as PIλDμ)control structure will be dynamically updated utilizing the value of change in PV array voltage *** the transient,the value ofμis changeable;it’s one at the start and after reaching the maximum power point(MPP),allowing for strong tracking *** will use the freely available waste thermal energy created surrounding the PVarray for additional power generation,increasing the system’s energy conversion efficiency.A high-gain DC-DC converter circuit is included in the system to maintain a high amplitude DC input voltage to the inverter *** proposed approach’s performance was investigated using an extensive MATLAB software simulation and validated by comparing findings with the perturbation and observation(P&O)type MPPT control *** study results demonstrate that the FOPID controller-based MPPT control outperforms the P&O method in harvesting the maximum power achievable from the PV-TEG hybrid *** is also a better control action and a faster response.

关键词： Fractional order PID controller MPPT boost converter PV array thermoelectric generator hybrid renewable energy system

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Multi-objective Optimization of Production Scheduling Using Particle Swarm Optimization Algorithm for hybrid renewable Power Plants with Battery energy Storage system

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Journal of Modern Power systems and Clean energy 2021年第2期9卷 285-294页

作者： Jon Martinez-Rico Ekaitz Zulueta Ismael Ruiz de Argandona Unai Femandez-Gamiz Mikel Armendia The Automation and Control Unit Fundacion TeknikerBasque Research and Technology Alliance(BRTA)Ifiaki Goenaga520600 the University of the Basque Country Ing.Torres Quevedo148013 BilbaoSpain the Department of systems Engineering and Control College of Engineering at Vitoria-GasteizUniversity of the Basque CountryNieves Cano1201006 Vitoria-GasteizSpain the Department of Nuclear and Fluid Mechanics College of Engineering at Vitoria-GasteizUniversity of the Basque CountryNieves Cano1201006 Vitoria-GasteizSpain

Considering the increasing integration of renewable energies into the power grid,batteries are expected to play a key role in the challenge of compensating the stochastic and intermittent nature of these energy ***,the deployment of batteries can increase the benefits of a renewable power *** way to increase the profits with batteries studied in this paper is performing energy *** strategy is based on storing energy at low electricity price moments and selling it when electricity price is *** this paper,a hybrid renewable energy system consisting of wind and solar power with batteries is studied,and an optimization process is conducted in order to maximize the benefits regarding the dayahead production scheduling of the plant.A multi-objective cost function is proposed,which,on the one hand,maximizes the obtained profit,and,on the other hand,reduces the loss of value of the battery.A particle swarm optimization algorithm is developed and fitted in order to solve this non-linear multi-objective *** the aim of analyzing the importance of considering both the energy efficiency of the battery and its loss of value,two more simplified cost functions are *** show the importance of including the energy efficiency in the cost function to ***,it is proven that the battery lifetime increases substantially by using the multi-objective cost function,whereas the profitability is similar to the one obtained in case the loss of value is not ***,due to the small difference in price among hours in the analyzed Iberian electricity market,it is observed that low profits can be provided to the plant by using batteries just for arbitrage purposes in the day-ahead market.

关键词： Battery energy storage system energy arbitrage hybrid renewable energy system particle swarm optimization

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Multi-Objective Sizing of Solar-Wind-Hydro hybrid Power system with Doubled energy Storages Under Optimal Coordinated Operational Strategy

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CSEE Journal of Power and energy systems 2023年第6期9卷 2144-2155页

作者： Su Guo Aynur Kurban Yi He Feng Wu Huanjin Pei Guotao Song the School of energy and Electricity Hohai UniversityNanjing 211100China

More and more attention has been paid to the high penetration of renewable energy in recent *** randomness and intermittency of solar and wind energy make it an inevitable trend that renewables are coupled with energy storage *** hydro storage(PHS)is the most widelyused storage form in the power grid but the capacity is limited by geographic *** concentrated solar power(CSP)plant with a thermal energy storage(TES)system can realize easier grid connections and effective peak ***,this paper proposes a solar-wind-hydro hybrid power system with PHS-TES double energy storages,and investigates the optimal coordinated operational strategy and multi-objective *** optimal sizing problem which considers the minimum levelized cost of energy(LCOE)and loss of power supply probability(LPSP)as objectives is solved by multi-objective particle swarm ***,the seasonal uncertainties of renewables are considered by applying a scenario-based analysis using Kmeans ***,a case study reveals the effectiveness of the coordinated operational strategy and double energy storages from the perspectives of economy and *** comparisons of optimal sizing results show that the PV-WindCSP-PHS system decreases the LCOE by 19.1%compared to a PV-Wind-CSP system under the same LPSP,and reduces the LPSP compared to PV-Wind-PHS systems with limited reservoir capacity,which indicates that the proposed system with double energy storages has better economy and reliability performance compared to single storage.

关键词： Coordinated operation strategy double energy storages hybrid renewable energy system multi-objective sizing optimization solar-wind-hydro

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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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