A novel optimization method for designing stand alone photovoltaic system

Nordin, Nur Dalilah; Rahman, Hasimah Abdul

doi:10.1016/j.renene.2015.12.001

Cited by 66 publications

(28 citation statements)

References 12 publications

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“…The probabilistic approach is preferred because the uncertainty of the meteorological data is considered, in which the performance of the system can be more reliable and accurate than the stochastic approach. Moreover, the energy availability of the system can be represented in a quantitative manner [15,[36][37][38]. In the numerical method, the various number of the PV arrays and storage battery configurations are conducted in the design space.…”

Section: Optimization Methodsmentioning

confidence: 99%

“…On the basis of the literature review, the proposed numerical methods in [13,15,16,18,[36][37][38][39][40]49] do not simultaneously solve multi-objective optimization for the sizing of the SAPV system, which is considered as a theoretical gap in the presented study. Therefore, the real challenge is to obtain a set of optimal solutions called the Pareto optimal solutions front.…”

Section: Optimization Methodsmentioning

confidence: 99%

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Optimum Design of a Standalone Solar Photovoltaic System Based on Novel Integration of Iterative-PESA-II and AHP-VIKOR Methods

et al. 2020

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Solar energy is considered one of the most important renewable energy resources, and can be used to power a stand-alone photovoltaic (SAPV) system for supplying electricity in a remote area. However, inconstancy and unpredictable amounts of solar radiation are considered major obstacles in designing SAPV systems. Therefore, an accurate sizing method is necessary to apply in order to find an optimal configuration and fulfil the required load demand. In this study, a novel hybrid sizing approach was developed on the basis of techno-economic objectives to optimally size the SAPV system. The proposed hybrid method consisted of an intuitive method to estimate initial numbers of PV modules and storage battery, an iterative approach to accurately generate a set of wide ranges of optimal configurations, and a Pareto envelope-based selection algorithm (PESA-II) to reduce large configuration by efficacy obtaining a set of Pareto front (PF) solutions. Subsequently, the optimal configurations were ranked by using an integrated analytic hierarchy process (AHP) and vlsekeriterijumskaoptimizacija i kompromisonoresenje (VIKOR). The techno-economic objectives were loss of load probability, life cycle cost, and levelized cost of energy. The performance analysis results demonstrated that the lead–acid battery was reliable and more cost-effective than the other types of storage battery.

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Section: Optimization Methodsmentioning

confidence: 99%

Section: Optimization Methodsmentioning

confidence: 99%

Optimum Design of a Standalone Solar Photovoltaic System Based on Novel Integration of Iterative-PESA-II and AHP-VIKOR Methods

et al. 2020

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“…In some literature examples, salvage cost is added negatively to (10) [5,[17][18][19]. This value can be defined as the income to be obtained by dismantling and selling after the system has completed its economic life.…”

Section: Methodsmentioning

confidence: 99%

“…Besides, the incentives and subsidies given by the governments of the countries also show significant changes. In [19], the authors calculated 0.34 $/kWh UEC for a 25-year lifetime, 2.8% inflation, and 6.85% discount rate assumptions for a SAPV system to be established in Malaysia. Chel and Tiwari conducted analytical technical and economic analysis for a SAPV system in New Delhi, India.…”

Section: Unit Energy Cost Analysismentioning

confidence: 99%

Comparison of Turkey’s Geographical Regions in terms of Stand-Alone PV System Design and Cost Parameters

Onat

2017

International Journal of Photoenergy

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Stand-alone photovoltaic (SAPV) systems are widely used in rural areas where there is no national grid or as a precaution against power outages. In this study, technical and economic analysis of a SAPV system was carried out using meteorological data for 75 province centers in seven geographical regions of Turkey. Obtained results for each province center were separated by geographical area. The averages of the centers for each region are taken as output. A calculation algorithm based on MsExcel has been established for these operations. The analyses made with the developed algorithm are repeated for five different scenarios that they cover periods of time when a constant strong load is active for all seasons (winter, spring, summer, and autumn) and all year round. The developed algorithm calculates the life-cycle cost, the unit energy cost, the electrical capacity utilization rate, the amount of generated/excess energy per month, the initial investment/replacement, and operating and maintenance (O&M) costs of each element. As a result, geographical regions of Turkey are compared in terms of these outputs graphically. Further investigations may include the sale of excess energy generated, small-scale PV system cost factors parallel to the grid, and the effects of government incentives.

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“…The other profile used represents a consumption pattern with higher consumption per household (Tier 3) of 2.2 kWh/day [41]. This case assumes the use of medium-power appliances with about 2/3 of the energy consumed during daytime.…”

Section: Input Data: Energy Consumption Profilesmentioning

confidence: 99%

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

2017

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We present a geographic information system (GIS)-based tool for estimating the performance of photovoltaic (PV) mini-grid system over large geographical areas. The methodology consists of geospatial analysis and mapping of the energy output and reliability of PV mini-grid system. The algorithm uses a combination of hourly solar radiation data from satellites combined with measured data on PV module and battery performance and estimated electricity consumption data. The methods also make it possible to optimize the PV array and battery storage size for a given location. Results are presented for an area covering Africa and most of Southern and Central Asia. We also investigate the effects of using Li-ion batteries instead of the traditional lead-acid batteries. The use of our spatial analysis as decision support tool could help governments, local authorities and non-governmental organizations to investigate the suitability of PV mini-grids for electrification of regions where access to electricity is lacking. In this way it is possible to identify areas where PV mini-grids are most suitable.

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A novel optimization method for designing stand alone photovoltaic system

Cited by 66 publications

References 12 publications

Optimum Design of a Standalone Solar Photovoltaic System Based on Novel Integration of Iterative-PESA-II and AHP-VIKOR Methods

Optimum Design of a Standalone Solar Photovoltaic System Based on Novel Integration of Iterative-PESA-II and AHP-VIKOR Methods

Comparison of Turkey’s Geographical Regions in terms of Stand-Alone PV System Design and Cost Parameters

Geospatial Analysis of Photovoltaic Mini-Grid System Performance

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