Table 3 Summary of literature review (Alsadi & Khatib, 2018; Cabrera-Tobar et al., 2016; Failed, 2017; Kerekes et al., 2011, 2012; Kornelakis & Koutroulis, 2009; Kornelakis & Marinakis, 2010; Liu et al., 2012; Luo et al., 2018; Mondol et al., 2009; Notton et al., 2010; Rakhshani et al., 2019; Ramli et al., 2015; Rosselan et al., 2017; Sulaiman et al., 2012; Türkay & Telli, 2011; Wong et al., 2014; Zebarjadi & Askarzadeh, 2016)
From: Large-scale solar system design, optimal sizing and techno-economic-environmental assessment
No. | Authors | Title of paper | Year | Key findings | Design parameter | Performance parameter |
|---|---|---|---|---|---|---|
1 | G. Notton et al. | Optimal sizing of a grid-connected PV system for various PV module technologies and inclinations, inverter efficiency characteristics and locations | 2010 | • The relative size of the inverter is affected by the efficiency of the selected inverter • Inclination has a less influence on the optimal ratio of the PV system but a high influence on the PV system performance | Size of PV panels and size of inverter | Total system output |
2 | Sulaiman et al. | An intelligent method for sizing optimization in grid-connected photovoltaic system | 2012 | • The fitness value of each generation was improved, and the maximum yield of system was achieved when the NLSS was incorporated to Meta-EP • The maximum NPV was achieved as well | PV module and inverter model | System yield |
3 | Ramli et al. | Optimal sizing of grid-connected PV energy system in Saudi Arabia | 2015 | • A larger PV size connected to the grid proves lower emission of CO2 • The inverter size influences the CO2 emissions as well, the bigger the inverter the lower the emission | PV arrays and inverter size | Net present cost, renewable electricity fraction, excess electricity and CO2 emissions |
4 | M. Zebarjadi et al. | Optimization of a reliable grid-connected PV-based power plant with/without energy storage system by a heuristic approach | 2016 | • The sizing of the GCPV was optimized with the harmony search algorithm with respect to the electricity prices | Area of installed PV system | Electricity price |
6 | Liu G et al. | Techno-economic simulation and optimization of residential grid-connected PV system for the Queensland climate | 2012 | • The NPC and the CO2 emission are the criteria used to measure the effectiveness of the optimized system applied in 11 cities around Queensland • The tilt angle was varied from 0° to 45°, to be applied in all 11 cities. Based on the best slope degree the COE, ROI and CO2 emission are analysed | PV system design (PV slope and size) | Investment cost, financial income, electricity generation and CO2 emission |
7 | Türkay et al. | Economic analysis of standalone and grid-connected hybrid energy systems | 2011 | • Analysing the use of renewable energy in power generation and defining the restrictions of its measure values and rivalry state • Variation of possible system configuration arrangements was simulated where the cost and CO2 emission were analysed | Cost of RE components | Price of electricity |
8 | Kerekes et al. | An optimization method for designing large PV plants | 2013 | • The algorithm developed was tested with several optimized parameters. (optimized for minimum LCOE, non-optimized, optimized only for minimum cost and optimized only for maximum energy.) • The performance of each scenario was evaluated based on the LCOE, Tilt angle, DIM | Number, type and arrangement of components | Annual electricity production |
9 | Khatib T et al. | On the effectiveness of optimally sizing an inverter in a grid-connected photovoltaic power system | 2017 | • The optimally sized inverter was determined with the model of PV grid-connected systems developed using MATLAB • A sizing ratio of 1.66 gives an efficiency of 95.16% | Sizing ratio | A conversion efficiency yield factor and capacity factor |
10 | Kerekes et al. | A practical optimization method for designing large PV PLANTS | 2011 | • An algorithm was developed using MATLAB and PVSyst was used a benchmark to evaluate most significant models of the PV system, that optimizes the assembly of the plant based on pre-defined goals, such as the minimum Levelized Cost of Energy | Voltage of PV modules | Current of PV modules |
11 | Luo L et al. | Optimal siting and sizing of distributed generation in distribution systems with PV solar farm utilized as STATCOM (PV-STATCOM) | 2018 | • The reactive power fast response characteristic of the PV was taken into account during DGs’ optimal siting and sizing • Making use of PV solar plants as fast reactive power source has very high economic benefit under emergency, this factor has to be taken into consideration for DG’s optimal sizing and siting | Number of buses in distribution system | Voltage magnitude PV capacity |
12 | A.Kornelakis et al. | Contribution for optimal sizing of grid-connected PV systems using PSO | 2010 | • The results for the PVGCS optimal sizing are evaluated based on the tilt angle, the shading distance, number of panels arranged in series and parallel • The results for the PVGCS optimal economic are evaluated based on the NPV, IRR and the cost | Tilt angle, arrangement of PV array | Power output |
13 | A.Kornelakis et al. | Methodology for the design optimization and the economic analysis of grid-connected photovoltaic systems | 2009 | • The PVGCS optimization was arranged in 4 combinations based on the PV module type and the DC/AC Converter type. Combination #2 has proven to be an overall optimal solution as the installation area is utilized and the target PVGCS is 86.2% • The PVGCS optimal economic results were evaluated based on the 4 combinations as well. Combination #2 was proven to be the overall optimal solution | Tilt angle, arrangement of PV array | Total PV generated energy, NPV |
14 | Rakshani et al. | Integration of large-scale PV-based generation into power systems: a survey | 2019 | • Important characteristics that have to be considered in PV system are the topographical factors, location of PV and aspects related to the environment • Loads will be distributed appropriately when the utility grid is accessible; therefore, the PV-based generators together with inverters should be connected in a series–parallel configuration to the grid • Energy storage needs to be taken into account when dispatching ancillary services of PV systems | – | – |
15 | Alsadi et al. | Photovoltaic power systems optimization research status: a review of criteria, constrains, models, techniques and software tools | 2018 | • To predict the energy output of the system, the meteorological condition at the system’s location needs to be investigated • PV system optimizing criteria are the power reliability and the system cost analysis. These criteria need to have an ideal combination to ensure any PV system is optimized • Techniques to optimize grid-connected PV system are by numerical methods, genetic algorithm, Particle Swarm Optimization and evolutionary programming | – | – |
16 | Mondol et al. | Optimizing the economic viability of grid-connected photovoltaic system | 2009 | • When the input power into the inverter is above the designated capacity the efficiency of it reduces • The input power into the inverter has a large impact on its efficiency • The sizing ratio has an influence on the PV saving in 5 location in Europe | PV/Inverter sizing ratio, PV slope, PV unit cost | PV electricity cost |
17 | Rosselan et al. | Sizing optimization of large-scale grid-connected photovoltaic system using dolphin echolocation algorithm | 2017 | • The selection of optimal PV cells and inverters were achieved with the use of DEA, the results showed an increase in the performance ratio • Incorporating DEA is justified as the results has shown that DEA produces alike optimal result to ISA but with shorter computational time | Sizing of PV modules and inverter | System yield |
18 | Wong et al. | Grid-connected photovoltaic system in Malaysia: a review on voltage issues | 2013 | • The likelihood of having voltage abuse per day is about 47% typically. It is clearly demonstrated that the violation of voltage rise is very deceptive in the low voltage distribution networks in Malaysia • Malaysia’s tolerable voltage unbalance factor is two per cent • High voltage (HV) and medium voltage (MV) networks normally have the occurrence of voltage fluctuation and flicker | – | – |
19 | Tobar et al. | Review of advanced grid requirements for the integration of large-scale photovoltaic power plants in the transmission system | 2016 | • Voltage deviation is a common issue to be solved by conventional power plants must to ensure reactive support can be provided to the grid. Commonly, the voltage works in a band of 10% of the rated voltage. The accolade of this requirement depends on the reactive power support characteristics of the PV inverter and ancillary devices such as STATCOMs or capacitor banks • To connect LS-PV to the grid, the voltage control has two main encounters: (i) the voltage has to be kept within a dead band regulated by TSO and (ii) the LS-PV has to accomplish the capability curve given by the TSO for the relation between reactive and active power | – | – |
20 | Hashwini et al. | Optimization of LSS-PV system in Malaysia | 2020 | • Optimization of design steps in LSS-PV • Inverter selection with low mismatch loss • Economic viability of LSS-PV development | PV/inverter sizing ratio | System yield, LCOE |