Energy management for a stand-alone photovoltaic-wind system suitable for rural electrification

Yahyaoui, Imene; Yahyaoui, Amani; Chaabene, Maher; Tadeo, Fernando

doi:10.1016/j.scs.2015.12.002

Cited by 33 publications

(11 citation statements)

References 29 publications

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“…where: V P is the total volume of water pumped (m 3 ) and H is the pumping head (m). The volume of water pumped for the optimal solution was 39,484.9 m 3 .…”

Section: Eue =mentioning

confidence: 99%

“…It can be seen that as the storage volume increases from 420 m 3 (economically optimal design), the peak power of the PV plant decreases and the EUE rises. To illustrate this effect, for a storage capacity of 10,000 m 3 , the peak power of the plant reduces almost half its value for 420 m 3 and EUE increases up to 40%. for increased values of tank storage capacity.…”

Section: Eue =mentioning

confidence: 99%

“…The possibility of storing both water and energy in an elevated reservoir or in the soil is another valuable feature of photovoltaic irrigation systems, although in some cases, battery banks are used to store the energy [1]. In addition, in many crops, water consumption is strongly dependent on radiation [2,3], thus PV energy production and energy consumption can be synchronized so the design of these systems can be simpler and more economically and environmentally efficient.…”

Section: Introductionmentioning

confidence: 99%

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Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

et al. 2020

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Small off-grid photovoltaic (PV) pumping irrigation systems with storage tanks are an environmentally friendly, cost effective and efficient way of taking advantage of solar energy to irrigate crops, and they are increasingly being used today. However, finding the optimal design of this type of system is cumbersome since there are many possible designs. In this work, a new heuristic method based on the hybrid approach, which uses search space reduction, is developed and adapted to the optimal design for this type of PV irrigation system. At different stages, the proposed approach iteratively combines a bounding strategy based on the application of engineering rules with the aim of reducing the search space with a genetic algorithm to find the optimal design within this search space. The proposed methodology was applied to minimize the cost of a benchmark case study consisting of a real farm placed in the province of Almería (Spain). The proposed methodology was able to provide a faster and an accurate convergence due to the reduction of the search space. This fact led to a reduced total cost of the system. This study proved that the most sensitive variables were the number of modules and the type of pump, whereas the diameter of the pipe and volume of the storage tank remained more stable.

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“…where: V P is the total volume of water pumped (m 3 ) and H is the pumping head (m). The volume of water pumped for the optimal solution was 39,484.9 m 3 .…”

Section: Eue =mentioning

confidence: 99%

Section: Eue =mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

et al. 2020

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“…We also note that microgrids can include diesel generation [31,32]. However, given the negative environmental consequences that diesel causes, there is growing interest in displacing diesel with renewable technologies [33,34].…”

Section: Review and Motivationmentioning

confidence: 98%

State-of-Charge Effects on Standalone Solar-Storage Systems in Hot Climates: A Case Study in Saudi Arabia

Elshurafa

Aldubyan

2019

Sustainability

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In this paper, we quantify the economic and environmental implications of operating a standalone photovoltaic-battery system (PVB) while varying the battery’s minimum allowable state of charge (MSOC), the load profile, and simultaneously incorporating ambient temperature effects in hot climates. To that end, Saudi Arabia has been chosen for this case study. Over a project lifetime of 25 years, we find that, contrary to the widely accepted norm of 50% being a reasonable MSOC, a lower MSOC can bestow economic benefits. For example, a MSOC of 20% results in a lower number of batteries required throughout the lifetime of the project—while still meeting demand. For a village of 1000 homes, this translates to a saving of $47 million in net present value. Further, incorporating temperature effects results in deducing more realistic costs that are 125% higher than the ideal scenario (i.e., when temperature is not modeled). This difference stems from underestimating the actual number of batteries needed throughout the project lifetime. Compared to a diesel-powered microgrid, and for a village of 1000 homes, a PVB would, on an annual basis, avoid emitting 5000 tons of carbon and avoid burning 2 million liters of diesel.

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“…System modelling 1. Photovoltaic panels A one-diode based non-linear model is used for the management algorithm, using an ideality factor to describe the diode's performance [8,9]. The model uses the radiation The photovoltaic power pv P generated by the panel is then described as follows [11][12][13]: …”

Section: Application To a Case Studymentioning

confidence: 99%

Operational cost optimization for renewable energy microgrids in Mediterranean climate

Yahyaoui

Ghraizi

Tadeo

2016

2016 7th International Renewable Energy Congress (IREC)

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This paper is concerned with the energy management of a micro-grid composed of photovoltaic/ wind/ diesel sources used to supply household loads. The control strategy manages the power flow between the power sources and the loads, which ensures the minimization of the installation operating cost, the safe operating for the battery bank while minimizing the use of the diesel engine. The strategy is tested using measured data of some climatic parameters of a Mediterranean area (Northern Tunisia), showing its efficiency in fulfilling the fixed objectives and respecting the criteria of the control strategy.

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Energy management for a stand-alone photovoltaic-wind system suitable for rural electrification

Cited by 33 publications

References 29 publications

Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

Multistage Bounded Evolutionary Algorithm to Optimize the Design of Sustainable Photovoltaic (PV) Pumping Irrigation Systems with Storage

State-of-Charge Effects on Standalone Solar-Storage Systems in Hot Climates: A Case Study in Saudi Arabia

Operational cost optimization for renewable energy microgrids in Mediterranean climate

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