Reliability assessment of photovoltaic power systems: Review of current status and future perspectives

Zhang, Peng; Li, Wenyuan; Li, Sherwin; Wang, Yang; Xiao, Weidong

doi:10.1016/j.apenergy.2012.12.010

Cited by 213 publications

(113 citation statements)

References 98 publications

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“…The latter includes biomass, wind, solar photovoltaic (PV) and ocean-based power plants. From the utilities' perspective, DG units can bring multiple technical benefits to distribution systems such as loss reduction, voltage profile improvement, voltage stability enhancement, network upgrade deferral and reliability while supplying energy sales as a primary purpose [3][4][5][6][7][8][9][10][11][12][13]. In addition, DG units can participate into the competitive market to provide ancillary services such as spinning reserve, voltage regulation, reactive power support and frequency control [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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highlights DG allocation for minimizing energy loss and enhancing voltage stability. Expressions to find the optimal power factor of DG with commercial standard size. A methodology for DG planning to recover investment for DG owners.Impact of technical and environmental benefits on DG investment decisions. Benefit-cost analysis to specify the optimal location, size and number of DG units. Keywords:Distributed generation; Emission reduction; Loss reduction; Network upgrade deferral; Optimal power factor; Voltage stability abstract This paper presents new analytical expressions to efficiently capture the optimal power factor of each Distributed Generation (DG) unit for reducing energy losses and enhancing voltage stability over a given planning horizon. These expressions are based on the derivation of a multi-objective index (IMO), which is formulated as a combination of active and reactive power loss indices. The decision for the optimal location, size and number of DG units is then obtained through a benefit-cost analysis. Here, the total benefit includes energy sales and additional benefits, namely energy loss reduction, network upgrade deferral and emission reduction. The total cost is a sum of capital, operation and maintenance costs. The methodology was applied to a 69-bus industrial distribution system. The results showed that the additional benefits are imperative. Inclusion of these in the analysis would yield faster DG investment recovery.

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Section: Introductionmentioning

confidence: 99%

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

2014

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“…There have been proposed different fault tree models of renewable power plants that can be used as reference models to build up a SHyFTA [12][13][14][15][16][17][18]. In this paper, the case study of a photovoltaic power plant is presented.…”

Section: Case Study: a Photovoltaic Power Plantmentioning

confidence: 99%

“…InitDP(); # initialize the parameters used in the Simulink deterministic block In particular, the script stops the Simulink simulation (line 2), updates the global variables and the estimator of the Matlab workspace (with the method UpdateGlobalVariables()) using the information generated in the Simulink environment (line 3) and verify if the accuracy required by the Monte Carlo setting is reached (line 4). If the variable 'completed' is not True (=1), lines (6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18) resets the simulation parameters to prepare for a next iteration. Before calling the built-in method of Simulink 'set_param' (line 17) to update the Simulink workspace for a new iteration, an important setting has to be performed (lines [8][9][10][11][12].…”

Section: Nexteventbe Scriptmentioning

confidence: 99%

“…They have driven the penetration of reliability theory within the industrial field. For this reason, most of the reliability and risk assessment reports, including many examples of renewable power plants [12][13][14][15][16][17][18][19][20], are still based on static models. Dynamic models have been introduced to handle more complex stochastic and temporal dependencies among the system components.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model

et al. 2018

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Abstract:The contribution of renewable energies to the reduction of the impact of fossil fuels sources and especially energy supply in remote areas has occupied a role more and more important during last decades. The estimation of renewable power plants performances by means of deterministic models is usually limited by the innate variability of the energy resources. The accuracy of energy production forecasting results may be inadequate. An accurate feasibility analysis requires taking into account the randomness of the primary resource operations and the effect of component failures in the energy production process. This paper treats a novel approach to the estimation of energy production in a real photovoltaic power plant by means of dynamic reliability analysis based on Stochastic Hybrid Fault Tree Automaton (SHyFTA). The comparison between real data, deterministic model and SHyFTA model confirm how the latter better estimate energy production than deterministic model.

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“…However, in the case of high PV penetration in LV distribution network, reverse power flow may occur when the PV production exceeds the consumers' load [4]. This situation may lead to overvoltage, increase of total harmonic distortion (THD) and fault current, blinding of protection and false tripping, risk of islanding operation [5], and decrease reliability [6].…”

Section: Introductionmentioning

confidence: 99%

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

et al. 2018

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Early version, also known as pre-print Link to publication from Aalborg University Citation for published version (APA): Jannesar, M. R., Sedighi, A., Savaghebi, M., & Guerrero, J. M. (2018). Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration. Applied Energy, 226, 957-966. https://doi.org/10.1016/j.apenergy.2018.06.036 General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.? Users may download and print one copy of any publication from the public portal for the purpose of private study or research. ? You may not further distribute the material or use it for any profit-making activity or commercial gain ? You may freely distribute the URL identifying the publication in the public portal ? Take down policyIf you believe that this document breaches copyright please contact us at vbn@aub.aau.dk providing details, and we will remove access to the work immediately and investigate your claim. can mitigate these disadvantages and as a result, improve the system operation.For this purpose, battery energy storage system is charged when production of photovoltaic is more than consumers' demands and discharged when consumers' demands are increased. Since the price of battery energy storage system is high, economic, environmental, and technical objectives should be considered together for its placement and sizing. In this paper, optimal placement, sizing, and daily (24 hours) charge/discharge of battery energy storage system are performed based on a cost function that includes energy arbitrage, environmental emission, energy losses, transmission access fee, as well as capital and maintenance costs of battery energy storage system. All simulations are carried out in DIgSILENT and MATLAB linked together. Results show that by using the proposed approach, overvoltage 2 and energy losses are decreased, reverse power flow is prevented, environmental emission is reduced, and economic profit is maximized.

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Reliability assessment of photovoltaic power systems: Review of current status and future perspectives

Cited by 213 publications

References 98 publications

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

An optimal investment planning framework for multiple distributed generation units in industrial distribution systems

Dynamic Performance Evaluation of Photovoltaic Power Plant by Stochastic Hybrid Fault Tree Automaton Model

Optimal placement, sizing, and daily charge/discharge of battery energy storage in low voltage distribution network with high photovoltaic penetration

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