Uniform voltage distribution based constructive algorithm for optimal reconfiguration of electric distribution networks

Bayat, Akbar

doi:10.1016/j.epsr.2013.06.010

Cited by 25 publications

(18 citation statements)

References 27 publications

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“…For a given network configuration, the fitness function is obtained by considering both the maximum allowed power supplied by DG sources and the exploitation of the lines together with the bus voltage profiles. Uniform Voltage Distribution Algorithm (UVDA) based constructive reconfiguration is used as heuristic in [52], [53]. Objective of the problem is to reconfigure the network and DG sizing to maximize network power loss reduction and HC.…”

Section: B Network Reconfigurationmentioning

confidence: 99%

Hosting Capacity Analysis: A Review and a New Evaluation Method in Case of Parameters Uncertainty and Multi-Generator

Mirbagheri

Falabretti

Ilea

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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The rapid growth of distributed energy resources exploitation can cause voltage violations and overloading on distribution grids due to the uncontrolled and unprogrammable power injections associated with dispersed generators. To overcome these issues, distributed system operators have to evaluate the maximum generation that can be hosted by distribution grids without violating the technical constraints and find the ways to increase it. In this paper, different hosting capacity analyses for different case studies have been reviewed, and a novel model to evaluate hosting capacity in case of grid parameters uncertainties and multi-generator connection is proposed.

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Section: B Network Reconfigurationmentioning

confidence: 99%

Hosting Capacity Analysis: A Review and a New Evaluation Method in Case of Parameters Uncertainty and Multi-Generator

Mirbagheri

Falabretti

Ilea

et al. 2018

2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Syst

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“…Dorostkar‐Ghamsari et al analyzed the worthiness of the hourly network reconfiguration and found it economically attractive. In Bayat, a constructive method is proposed based on the assumption that when the voltage in the network is uniform, the configuration is globally optimal.…”

Section: Introductionmentioning

confidence: 99%

Annual energy loss reduction of distribution network through reconfiguration and renewable energy sources

Hesaroor

Das

2019

Int Trans Electr Energ Syst

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Summary Renewable energy sources are becoming popular day by day for distributed generation as technology is becoming cheaper and modular. Power loss reduction is a powerful incentive for a distribution system operator to promote distributed generation. This paper presents a method to minimize annual energy losses through the integration of nondispatchable renewable distributed generation (DG) units and network reconfiguration under varying load demand condition. The optimal location and DG power level are calculated, and then these data are used to determine DG plant size taking into account the nonavailability of renewable energy at certain times. A network reconfiguration strategy is proposed, which takes into account both the time‐varying load and the renewable energy source such that annual energy loss is minimum. The proposed methodology is applied to 33‐node and 118‐node test distribution system with different scenarios. Results show a substantial reduction in energy loss. A cost‐benefit analysis is also carried out.

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“…The majority of the reconfiguration methods usually fall into two main categories, heuristic and meta-heuristic ones. The metaheuristic methods compared to heuristic ones have high computational burden for single objective problems [6]. The earliest methods for the network reconfiguration were based on heuristic methods.…”

Section: Introductionmentioning

confidence: 99%

“…Among the reconfiguration methods the one which is the main concern of this paper is UVDA. UVDA is a vigorous constructive reconfiguration algorithm which is capable to find the global optimal configuration of large distribution networks with no or less DG included [6]. In this paper we propose a modification to its inefficiency in finding the global optimal configuration of highly DG embedded smart grids.…”

Section: Introductionmentioning

confidence: 99%

Modified UVDA suitable for the reconfiguration of future smart grids consist of many dispersed generations

Bayat¹

2016

CIRED Workshop 2016

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It is expected that future distribution networks be smarter and include many dispersed generations (DG) of different sizes. As an innate capability of Smart Grids, dynamic reconfiguration will be realized by the use of advanced remote control switches. Distribution network reconfiguration (DNR) is one of the simplest and robust ways to reduce operational losses. However, the problem of DNR is a nonlinear combinatorial discrete problem which makes it difficult to be solved using mathematical optimization methods. UVDA is a robust reconfiguration algorithm which works flawlessly when network encompasses very few DGs. however, its performance weakens when the distribution network contains numerous DGs. In this paper, a modification is proposed to the network data which strengthens UVDA's ability in finding optimal configuration. The proposed method is verified through simulation results on 33-bus distribution network.

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Uniform voltage distribution based constructive algorithm for optimal reconfiguration of electric distribution networks

Cited by 25 publications

References 27 publications

Hosting Capacity Analysis: A Review and a New Evaluation Method in Case of Parameters Uncertainty and Multi-Generator

Hosting Capacity Analysis: A Review and a New Evaluation Method in Case of Parameters Uncertainty and Multi-Generator

Annual energy loss reduction of distribution network through reconfiguration and renewable energy sources

Modified UVDA suitable for the reconfiguration of future smart grids consist of many dispersed generations

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