Smart Inverters' Functionalities and their Impacts on Distribution Feeders at High Photovoltaic Penetration

Olowu, Temitayo O.; Dharmasena, Shamini; Debnath, Anjan; Sarwat, Arif I.

doi:10.1109/greentech48523.2021.00026

Cited by 7 publications

(1 citation statement)

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“…When the detail networks and energy metering data are unavailable, the loss factor approach is frequently used by utilities to estimate EL in the distribution network [11], [27]. Researchers in [4], [17], [28]- [30] use benchmark networks to calculate the EL of wide distribution networks based on their clusters. However, because it is very unlikely that two networks or feeders will display similar characteristics, this benchmarking approach to determine the EL of a large distribution network may not produce acceptable findings [31].…”

Section: Introductionmentioning

confidence: 99%

An efficient method for estimating energy losses in distribution's feeder

et al. 2023

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This paper explains a simple and efficient methodology for calculating monthly energy losses (EL) using the load loss factor technique and a representative composite load profile. One of the important benefits of the proposed work is a simpler, more efficient and less rigorous method to estimate the system-wide energy loss of an extensive distribution network with reasonable accuracy. The sum of all EL provided by each feeder section is used to calculate the total feeder EL. A base case feeder with a typical cable type and power factor is used to generate regression equations, a peak power loss function to estimate the EL. A case study is then used to show the models and techniques that have been established. The result indicates a high level of agreement with the time-series load flow simulations (smaller than 10% deviations). With this model, an approach to estimate the EL of all radial feeders of various configurations and characteristics could be extended and implemented. The spreadsheet approach is ideal for completing a quick energy audit of existing distribution feeder EL and determining the sensitivity of distribution network efficiency to changes in feeder sections and load characteristics.

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Section: Introductionmentioning

confidence: 99%

An efficient method for estimating energy losses in distribution's feeder

et al. 2023

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Algorithmic Formulation for Network Resilience Enhancement by Optimal DER Hosting and Placement

2022

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This paper proposes an algorithmic formulation for optimal PV hosting and placement of distributed energy resources (DER) for network resiliency enhancement. The algorithm incorporates a unique critical infrastructure (CI) ranking scheme to prioritize the CIs nodes for the DER placement while ensuring maximum hosting of the DER. The proposed multi-objective non linear programming formulation is validated on an IEEE 34 bus feeder with different outage scenarios caused by a hurricane event. The simulation has produced 18 Pareto Optimal Solutions showing several options of optimally locating the DERs in order to achieve a maximum DER hosting capacity, improve system's resiliency and minimize the system's active power loss while satisfying all network and power flow constraints. The results verify the effectiveness of the proposed algorithmic formulation which distribution planners and designers can apply directly to multitude of their network substations to improve the overall system's resiliency through grid-scale situation awareness.

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