Determination of Penetration Limit of Solar Distributed Generation (DG) Considering Multiple Bus Integration

Caampued, Carl Peter Christian C.; Aguirre, Rodolfo A.

doi:10.1109/appeec.2018.8566493

Cited by 5 publications

(2 citation statements)

References 19 publications

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“…These results support the findings of [31], who investigated network system losses as a result of high PV injection into the network. Similar results are reported in the works of [13], [72], and [79].…”

Section: ) Line Power Lossessupporting

confidence: 91%

Reverse Power Flow Due to Solar Photovoltaic in the Low Voltage Network

Majeed

Nwulu

2023

IEEE Access

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Distributed generation has enhanced power production in recent times. Due to their benefits, Ghana is interested in grid-tied solar photovoltaic (PV) systems. Despite the benefits, solar PV integration studies in Ghana have not advanced. This study examines reverse power flow (RPF) due to solar PV in Low Voltage (LV) network branches. The methodology uses a modified IEEE European test network and an Electricity Company of Ghana (ECG) LV network. ETAP software is used to simulate the two solar PV integrated LV networks, and the obtained data is used to formulate correlation models of solar PV penetration and key network parameters in Excel. Model results estimate the RPF critical values for the modified IEEE European test network and the ECG LV network as 7.36 kW and 7.44 kW, respectively. The RPF values are obtained at maximum penetration depths of 62.6% and 69.8% respectively. At maximum penetration levels, predicted line loadings are 6.42% and 7.28% respectively. Further analysis reveals branch-transformer RPF margins of 26.8% and 23.1% in the modified IEEE European test network and the ECG LV network respectively. The results are essential for establishing pre-determined settings to safeguard LV network branches and transformers from overload due to RPF.INDEX TERMS Safe margins, low voltage network, reverse power flow, simulation data, solar PV, threshold parameters.

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Section: ) Line Power Lossessupporting

confidence: 91%

Reverse Power Flow Due to Solar Photovoltaic in the Low Voltage Network

Majeed

Nwulu

2023

IEEE Access

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“…Article [15] has suggested another type of objective for sizing and siting which includes the purpose of increasing the penetration level of DGs in distribution networks. In study [16], the penetration limit of solar DG has been determined in the network. In study [17], the authors have aimed for power loss reduction, maintaining short-circuit level, and voltage profile improvement.…”

Section: Introductionmentioning

confidence: 99%

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

Madahi

Sarić

2020

Energies

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The optimal allocation and sizing of distributed generation (DG) resources are important in installing these resources, to improve the technical parameters of the network, including the power losses, voltage profile, and short-circuit level, as well as to increase economic factors. In this paper, a new multi-criteria algorithm and objective function are proposed for the optimal sizing and allocation of renewable and non-renewable DG resources simultaneously. The proposed algorithm is implemented on 63/20 kV substations at 20 kV levels. In the proposed objective function, all important technical and economic factors as well as important constraints, such as penetration level of DGs and budget constraint, are considered in a way that all factors are assigned to monetary values. Moreover, a new mathematical formulation is introduced for the allocation of renewable DG resources to reduce run-time optimization. The genetic algorithm (GA) is employed in the proposed algorithm to minimize the objective function. For renewable DG resources, photovoltaic panels and wind turbines, and for non-renewable DG resources, gas turbines are considered. The 115 buses network of Bakhtar Regional Electric Company (BREC) in Iran is used to evaluate the performance of the proposed algorithm. The results demonstrate that the proposed algorithm improves technical factors efficiently and maximizes the profitability of the investment.

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Novel Technical Planning Tool for Hosting Capacity With Optimization Techniques for Solar PV-Grid Integration

Majeed,

Nwulu

2024

IEEE Access

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Determination of Penetration Limit of Solar Distributed Generation (DG) Considering Multiple Bus Integration

Cited by 5 publications

References 19 publications

Reverse Power Flow Due to Solar Photovoltaic in the Low Voltage Network

Reverse Power Flow Due to Solar Photovoltaic in the Low Voltage Network

Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations

Novel Technical Planning Tool for Hosting Capacity With Optimization Techniques for Solar PV-Grid Integration

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