Overcoming the issues associated with operating a distribution system in reverse power flow

Pollock, James K.; Hill, Dennis

doi:10.1049/cp.2016.0552

Cited by 5 publications

(5 citation statements)

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“…But after some particular penetration ratio, e.g., γ = 30% in our simulated system, a significant raise in the number of cases with reverse power flow issues will appear and more cases will have large magnitudes of 𝐹 𝑟 𝑡𝑜𝑡 . Note that the distribution network we studies has limited tolerance to operate normally with reverse power flows as reported in [24]. Therefore, the distribution network owners (DNOs) may need to specify a safety threshold for PVDG installation.…”

Section: Simulation Results and Impact Comparisonmentioning

confidence: 99%

Photovoltaic generation in distribution networks: Optimal vs. random installation

Sadeghian

Wang

2018

2018 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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Nowadays common practice in deploying photovoltaic distributed generations (PVDGs) is customer-based installation in the distribution network. Increasing level of PVDG applications and expedite approval by utilities have raised concern about the negative impacts of PVDG installations on the distribution network operations such as reverse power flows and undesirable voltage fluctuations. One potential solutions is to optimize the siting and sizing of these distributed renewable generation resources. This paper presents a comparative study on both optimal and randomized installation of PVDGs with the latter modeling real life customer-based renewable integration. The proposed models examine and compare the impacts of PVDG installation on distribution network operation. Numerical simulations have been performed on a local distribution network model with realistic load profiles, GIS information, local solar insolation, and feeder and voltage settings. It is found that when the distribution system has a medium penetration ratio optimal PVDG installations may introduce essential improvements in terms of voltage deviation and energy loss reduction than randomized installation. However, if the penetration ratio is very low or extremely high there will be not significant difference between the two.

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Section: Simulation Results and Impact Comparisonmentioning

confidence: 99%

Photovoltaic generation in distribution networks: Optimal vs. random installation

Sadeghian

Wang

2018

2018 IEEE Power &Amp; Energy Society Innovative Smart Grid Technologies Conference (ISGT)

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“…Here we present two pieces of codes used in the case studies above. The codes and the python package will soon be available on GitHub 2 Listing…”

Section: Appendixmentioning

confidence: 99%

“…Lower penetrations of RES into the grid (as is currently), do not provide any significant challenges. Once the share of RES starts becoming significant, issues such as large, and unpredictable net load ramps [1], reverse power flows [2], reduced system inertia [3], among others, start affecting reliable and economic system operation.…”

Section: Introductionmentioning

confidence: 99%

Energy Flexibility Analysis using FMUWorld

Gusain

Cvetković

Pálenský

2019

2019 IEEE Milan PowerTech

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Energy flexibility is key to integrating more renewables into the grid. An essential contributor to enabling energy flexibility is P2X technologies such a Power2Heat, Power2Gas, among others. To evaluate the flexibility available from these resources and the impact they can have on the electrical grid, complex simulations need to be set up that may not always be possible using traditional simulation tools, given the multi-domain nature of such systems. Hence, the need for intelligent simulation techniques arises. This paper introduces a co-simulation tool, FMUWorld, to overcome simulation problems for complex energy systems. We use a multi-energy co-simulation and an energy flexibility analysis as use cases to explore the capabilities of the proposed tool. The ease-of-use offered by FMUWorld is shown to allow users to focus more on analysis of the system, such as parameter sensitivity, system optimisation, etc., rather than co-simulation setup. The paper highlights the key features and functionalities of FMUWorld that make it a novel tool for cosimulation of multi-energy systems.

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“…In the current literature, distribution feeders are the main focus of investigation for assessing the impacts of high PV penetration [43], [44], [45], [46], [47]. Certain studies, however, investigate the impact of RPF due to high solar PV penetration in distribution feeders [48], [49], [50], [51]. For instance, the study in [52] illustrates the potential intensity of reverse power flows due to high penetration by scenario analysis on the main feeder.…”

Section: Introductionmentioning

confidence: 99%

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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Overcoming the issues associated with operating a distribution system in reverse power flow

Cited by 5 publications

References 0 publications

Photovoltaic generation in distribution networks: Optimal vs. random installation

Photovoltaic generation in distribution networks: Optimal vs. random installation

Energy Flexibility Analysis using FMUWorld

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

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