Classification of hourly solar radiation using fuzzy c-means algorithm for optimal stand-alone PV system sizing

Benmouiza, Khalil; Tadj, Mohammed; Cheknane, Ali

doi:10.1016/j.ijepes.2016.03.019

Cited by 36 publications

(18 citation statements)

References 40 publications

(77 reference statements)

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“…Uncertainty associated to PV generation must be modelled to predict average performance in the future. Time-series measurements of solar radiation data from near-site weather stations are required to estimate expected generation [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability

et al. 2020

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In rural areas or in isolated communities in developing countries it is increasingly common to install micro-renewable sources, such as photovoltaic (PV) systems, by residential consumers without access to the utility distribution network. The reliability of the supply provided by these stand-alone generators is a key issue when designing the PV system. The proper system sizing for a minimum level of reliability avoids unacceptable continuity of supply (undersized system) and unnecessary costs (oversized system). This paper presents a method for the accurate sizing of stand-alone photovoltaic (SAPV) residential generation systems for a pre-established reliability level. The proposed method is based on the application of a sequential random Monte Carlo simulation to the system model. Uncertainties of solar radiation, energy demand, and component failures are simultaneously considered. The results of the case study facilitate the sizing of the main energy elements (solar panels and battery) depending on the required level of reliability, taking into account the uncertainties that affect this type of facility. The analysis carried out demonstrates that deterministic designs of SAPV systems based on average demand and radiation values or the average number of consecutive cloudy days can lead to inadequate levels of continuity of supply.

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Section: Introductionmentioning

confidence: 99%

Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability

et al. 2020

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“…Different sizing methods have been proposed in previous research works to obtain an optimum size of stand-alone PV systems and can be broadly classified as follows: numerical methods [19][20][21][22]; analytical methods [23][24][25][26] and intuitive methods [27,28].…”

Section: Introductionmentioning

confidence: 99%

Stand-Alone Photovoltaic System Assessment in Warmer Urban Areas in Mexico

et al. 2018

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Abstract:The aim of this study is to examine the possibility of using a stand-alone photovoltaic system (SAPVS) for electricity generation in urban areas in Southern Mexico. In Mexico, an urban area is defined as an area where more than 2500 inhabitants live. Due to constant migration from the countryside to the cities, the number of inhabitants of urban localities has been increasing. Global horizontal irradiation (GHI) data were recorded every 10 min during 2014-2016 in Coatzacoalcos in the state of Veracruz located on 18 • 08 09 N and 94 • 27 48 W. In this study, batteries represented 77% of the total cost, 12 PV panels of 310 W could export 5.41 MWh to the grid, and an inverter with an integrated controller and charger was selected, which decreased the initial cost. The city of Coatzacoalcos was chosen because the average annual temperature is 28 • , with an average relative humidity of 75% and an average irradiance of 5.3 kWh/m 2 /day. An emission factor 0.505 tCO 2 /MWh of greenhouse gases (GHG) were obtained, based on the power system, the reduction of net annual GHG would be 11 tCO 2 and a financial revenue of 36.951 × 10 3 $/tCO 2 would be obtained. Financial parameters such as a 36.3% Internal Rate Return (IRR) and 3.4 years payback show the financial viability of this investment. SAPVSs in urban areas in Mexico could be a benefit as long as housing has a high consumption of electricity.

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“…Reference [10] analyzed the different results obtained by four heuristic algorithms; nevertheless the uncertainties of renewable energies have not been considered detailedly. Reference [11] suggested a method for technical and economic optimization in an isolated PV system; the solar radiation classification and power supply reliability calculation are performed hourly. However, only the cluster corresponding to the minimum solar radiation is selected, which may not be suitable in the context of HPS.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing for Wind/PV/Battery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number

Liu

Chen

Huang³

et al. 2017

International Journal of Rotating Machinery

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Integrating wind generation, photovoltaic power, and battery storage to form hybrid power systems has been recognized to be promising in renewable energy development. However, considering the system complexity and uncertainty of renewable energies, such as wind and solar types, it is difficult to obtain practical solutions for these systems. In this paper, optimal sizing for a wind/PV/battery system is realized by trade-offs between technical and economic factors. Firstly, the fuzzy -means clustering algorithm was modified with self-adapted parameters to extract useful information from historical data. Furthermore, the Markov model is combined to determine the chronological system states of natural resources and load. Finally, a power balance strategy is introduced to guide the optimization process with the genetic algorithm to establish the optimal configuration with minimized cost while guaranteeing reliability and environmental factors. A case of island hybrid power system is analyzed, and the simulation results are compared with the general FCM method and chronological method to validate the effectiveness of the mentioned method.

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Classification of hourly solar radiation using fuzzy c-means algorithm for optimal stand-alone PV system sizing

Cited by 36 publications

References 40 publications

Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability

Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability

Stand-Alone Photovoltaic System Assessment in Warmer Urban Areas in Mexico

Optimal Sizing for Wind/PV/Battery System Using Fuzzy c-Means Clustering with Self-Adapted Cluster Number

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