Fault location determination in three-terminal transmission lines connected to industrial microgrids without requiring fault classification data and independent of line parameters

Abasi, Mahyar; Rohani, Arash; Hatami, Farhad; Joorabian, Mahmood; Gharehpetian, Gevork B.

doi:10.1016/j.ijepes.2021.107044

Cited by 27 publications

(16 citation statements)

References 38 publications

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“…The optimization model contains objective function [29][30][31][32][33][34][35][36][37][38][39] and constraints [40][41][42][43][44][45][46][47][48][49][50]. To apply this model on the networks, networks needs to smart devices [51][52][53][54][55] and telecommunications equipment [56][57][58][59][60][61][62].…”

Section: Economic Operation Of Flexible Ehsmentioning

confidence: 99%

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Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Farsani

Joorabian

Mortazavi

2023

IET Renewable Power Gen

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The market clearing pricing (MCP) model is used to operate electricity, gas, and heating networks (EGHNs) with flexible energy hubs (EHs) in the day‐ahead energy market. It's two‐level optimization. Its higher level refers to EHs' participation in the market and their profit maximization bound by the operational model of power sources, storage devices, and responsive loads in the form of EHs and their flexibility limit. In the lower‐level problem, the MCP model calculates energy price and evaluates EH performance's effects on the networks' technical and economic indices. It optimizes power flow in the networks to reduce centralized generator operating costs. This approach is linear approximation. Unscented transformation (UT) model load and renewable power uncertainties. This technique contains the fewest situations, reducing issue volume and computing time. Benders decomposition (BD) technique calculates energy prices, EHs, and networks. Finally, the numerical results show that the proposed scheme can extract the optimal economic and flexibility states of EHs. EHs' optimal performance enhanced energy networks' economic and operating status compared to power flow studies and promoted societal welfare by lowering energy prices.

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Section: Economic Operation Of Flexible Ehsmentioning

confidence: 99%

“…The optimization model contains objective function [29–39] and constraints [40–50]. To apply this model on the networks, networks needs to smart devices [51–55] and telecommunications equipment [56–62].…”

Section: Economic Operation Of Flexible Ehsmentioning

confidence: 99%

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Farsani

Joorabian

Mortazavi

2023

IET Renewable Power Gen

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“…The location of critical loads in buses 7, 8, 13-15, and 54-56 (buses with red colour in Figure 3), and the upper and their corresponding lower allowable voltage limits are 1.02 and 0.98 p.u., respectively [15]. The other buses are non-critical load, for which the allowable voltage range is [0.9 1.1] p.u [15,77,78]. It is assumed that this network has a 6-pulse converter-type nonlinear load located in buses 9, 16, 32, 46, 51, 63, and 69 (buses with green colour in Figure 3).…”

Section: Problem Datamentioning

confidence: 99%

Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot

Rohani¹,

Nahavandi

Abasi

et al. 2023

IET Generation Trans & Dist

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This paper presents the optimal scheduling of active distribution network (ADN) with linear and non‐linear loads in the presence of an integrated unit of electric spring and electric vehicle parking lot (IUEE). The proposed scheme is formulated in the form of three‐objective optimization, which minimizes the expected operating cost of the ADN, voltage deviation function (VDF), and the total harmonic distortion (THD) of the voltage in separate objective functions. Constraints include harmonic power flow (HPA) equations, operation and power quality limits, and operation model of the IUEE. This scheme has uncertainties of load, energy price, and energy demand of EVs, which are modelled here using stochastic programming. Next, the sum of the weighted functions method as a subset of the Pareto optimization technique is adopted to extract the integrated single‐objective problem. Then, Sine‐Cosine Combined Algorithm (SCA) and Gray Wolf Optimization (GWO) are used to achieve an optimal solution. In the end, by examining the numerical results obtained from the implementation of the proposed scheme on a 69‐bus ADN, the capability of the design in enhancing the economic situation, operation, and power quality of the ADN compared to network power flow studies obtained by optimal scheduling of the IUEE is confirmed.

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“…This paper uses KVL equations from the terminal to the fault point, and with solving this equation the fault location is obtained. Fault location in three-terminal networks with the integration of renewable resources to the transmission network has been studied in [98].…”

Section: ) Multi-terminal Fault Location Using the Data Of All Terminalsmentioning

confidence: 99%

Advances in Transmission Network Fault Location in Modern Power Systems: Review, Outlook and Future Works

Panahi

Zamani²,

Sanaye‐Pasand

et al. 2021

IEEE Access

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Fault location determination in three-terminal transmission lines connected to industrial microgrids without requiring fault classification data and independent of line parameters

Cited by 27 publications

References 38 publications

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Participation of energy hubs in the market clearing price‐based energy market considering generation and consumption uncertainty modelling

Power management of harmonic polluted active distribution network in the presence of integrated unit of electric spring and electric vehicles parking lot

Advances in Transmission Network Fault Location in Modern Power Systems: Review, Outlook and Future Works

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