Optimum design of hybrid wind/PV energy system for remote area

Hemeida, Ashraf Mohamed; El-Ahmar, M. H.; El‐Sayed, Abou‐Hashema M.; Hasanien, Hany M.; Alkhalaf, Salem; Esmail, Mohamed F.C.; Senjyu, Tomonobu

doi:10.1016/j.asej.2019.08.005

Cited by 84 publications

(22 citation statements)

References 32 publications

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“…The motivating outcomes of hybridization specifically are cost reduction and conversion efficiency improvements, which pave the way to reduce the dependency on coal or oil-based energy resources by 2030 [51,52]. In this study, the present energy efficiency and energy cost are included in the simulation by assuming flat capital expenditure (CAPEX) The motivating outcomes of hybridization specifically are cost reduction and conversion efficiency improvements, which pave the way to reduce the dependency on coal or oil-based energy resources by 2030 [51,52]. In this study, the present energy efficiency and energy cost are included in the simulation by assuming flat capital expenditure (CAPEX) and operational expenditure (OPEX) per kilowatt of solar and wind turbine [53].…”

Section: Effect Of Hybridization On Demand-side By 2030mentioning

confidence: 99%

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Anthony¹,

Prasad

Kannadasan

et al. 2021

Electronics

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This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumption pattern (4 kW of connected load) is allowed to consume energy from the grid and hybrid resources located at the demand side and classified as base, priority, short-term, and schedulable loads. The simulation results identify that the proposed controller manages the demand side management (DSM) techniques for peak load shifting and valley filling effectively with renewable sources. Also, energy costs and savings for the home environment are evaluated using the proposed controller. Further, the energy conservation technique is studied by increasing renewable conversion efficiency (18% to 23% for PV and 35% to 45% for the VAWT model), which reduces the spending of 0.5% in energy cost and a 1.25% reduction in grid demand for 24-time units/day of the simulation study. Additionally, the proposed controller is adapted for computing energy cost (considering the same load pattern) for future demand, and it is exposed that the PV-wind energy cost reduced to 6.9% but 30.6% increase of coal energy cost due to its rise in the Indian energy market by 2030.

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Section: Effect Of Hybridization On Demand-side By 2030mentioning

confidence: 99%

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Anthony¹,

Prasad

Kannadasan

et al. 2021

Electronics

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“…They use voltage-source rectifier (VSR) to excerpt the power from the wind source, while the voltage source inverter (VSI)is used to harvest the maximumm power from PV source. The authors in [106] present PV-wind power system for energy demand in Makadi Bay, Hurgada, and Egypt. The authors in [107] present a hybrid power plant consisting of an off-grid PV and wind energy generator to fulfil the demand of energy for the research center in Libya.…”

Section: ) Pv-wind Power Systemmentioning

confidence: 99%

Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

et al. 2020

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Due to intermittent nature of renewable energy sources (RESs) and their strong dependence on various environmental factors, it is imperative to carefully deploy these sources. A survey of recent works published in the area of optimal deployment of RESs is presented in this article. The existing works are categorized according to the type of energy source, objective function and model of operation. An optimal mix of hybrid-RESs along with energy storage system (ESS) is presented as solution to overcome the randomness and inconstancy of a single RES such as wind or solar power. We outline mathematical formulations for different objective functions, i.e., minimization of cost, maximization of power generation, maximization of the average cosine efficiency and minimization of the distribution losses. We present different wake models and simulation tools being used for the wind form layout optimization. These simulation tools are used to grade particular RESs according to technical and financial feasibility. This review paper depicts multifaceted coverage of the subject to provide the readers with state of the art developments in the area and can serve as a foundation for further research in the area. In addition, it can be used to find optimal mix of RESs for particular geographical area to satisfy the energy demands of that particular area. INDEX TERMS Renewable energy, placement optimization, positioning, wake models.

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“…Двосторонні договори, як правило, укладаються між великими постачальниками та споживачами електроенергії на великі обсяги електроенергії, тому участь у ньому при невеликих встановлених потужностях (до 10 кВт) є недоречною. Участь у ринках на добу наперед і внутрішньодобовому ринку є більш перспективною [4]. Основна задача таких ринків -покривати дефіцит електроенергії у ранкові (6-9 год.)…”

Section: режими роботи системиunclassified

Peculiarities of designing the power supply system with renewable energy sources in the conditions of the electricity market

Verbytskyi¹,

Bilyi²

2020

Bulletin of the National Technical University «KhPI» Series: New Solutions in Modern Technologies

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Optimum design of hybrid wind/PV energy system for remote area

Cited by 84 publications

References 32 publications

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment

Placement Optimization for Renewable Energy Sources: Ontology, Tools, and Wake Models

Peculiarities of designing the power supply system with renewable energy sources in the conditions of the electricity market

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