Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty

Kavousi‐Fard, Abdollah; Niknam, Taher

doi:10.1109/tpwrd.2013.2292951

Cited by 208 publications

(107 citation statements)

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“…Hence, in normal operating condition performance of the distribution system can be improved by selecting the correct status of switches. In past, researchers have proposed various approaches to the network reconfiguration [9][10][11][12][13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method

Kamble¹,

Patil²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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Distribution system (DS) delivers electrical power to the end users and is the first interface of the utility with the consumers. Due to deregulation and competition amongst distributors, distribution utilities are under pressure to minimize the losses and to improve reliability to enhance the overall performance. Keeping in view of these aspects the distribution system is reconfigured for the purpose of loss minimization, balancing the load on the feeders, relieving overloads, and maintenance. Each configuration (switching combination) is considered as alternative for the decision makers (DM) with attributes like voltage profile, reliability etc. Multi-attribute decision-making (MADM) is the branch of decision making which deals with assessing the number of alternatives based on some conflicting attributes. In this paper, Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE) is proposed for finding the compromised best configuration from available alternatives. MADM methods weighted sum method (WSM), weighted product method (WPM), Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are applied to sample distribution system and results are compared with PROMETHEE.

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Section: Introductionmentioning

confidence: 99%

Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method

Kamble¹,

Patil²

2017

Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

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“…It is expressed that the difference of voltage angle across a line is less than 0.105 radian based on power flow results of different 161 distribution networks [34][35][36] that is shown in table 1. Therefore, based on the first assumption, sin (b-j) and cos (b-j) are 162 equal to (b-j) and 1, respectively.…”

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confidence: 99%

Proactive operation of electric vehicles in harmonic polluted smart distribution networks

Pirouzi

Aghaei

Niknam

et al. 2018

IET Generation, Transmission & Distribution

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Abstract-This study proposes combined framework for proactive operation, i.e. bidirectional active and reactive power 14 management, of the smart distribution network as well as harmonic compensation of non-linear loads using electric vehicles 15 (EVs) equipped with bidirectional chargers. The problem is in the form of non-linear programming (NLP) where the objective 16 function is to minimise the voltage deviation at the fundamental frequency and the total harmonic distortion. The harmonic load 17 flow equations, EVs constraints, system operation and harmonic indexes limits are formulated as problem constraints. The 18 proposed NLP problem is converted to an equivalent mixed integer linear programming (MILP) model using Taylor series and 19 linearisation techniques for AC power flow formulation. Also, the Benders decomposition (BD) algorithm is used to solve the 20proposed MILP problem that is tested on different distribution test networks to demonstrate its efficiency and performance. The 21 results show that the NLP model can be substituted with the high-speed linear programming model. Moreover, the computation 22 speed is improved by using the BD method. Finally, the network and harmonic indexes improved and charging cost reduced 23 using the proposed idea. 24 25

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“…The approaches make use of deterministic optimization models [35,37,40], or probabilistic methods including different uncertainties [36,37,39]. On the other hand, topology configuration and reconfiguration is one of the most important control actions on distribution networks [38,40,[42][43][44][45][46][47][48][49]. The objective of the former is to minimize losses and/or the cost of reliability during system normal operation [43,44,46,50].…”

mentioning

confidence: 99%

“…The objective of the former is to minimize losses and/or the cost of reliability during system normal operation [43,44,46,50]. Restoration of disconnected customers with possibly minimal deviation of operational constraints is the primary goal of network reconfiguration in system emergencies [38,42,45,[47][48][49]. However, the authors are not aware of any research that investigates impact of DG integration and/or network reconfiguration on asset ageing and replacement.…”

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confidence: 99%

Cable Replacement Considering Optimal Wind Integration and Network Reconfiguration

Buhari

Leví

Kapetanaki

2018

IEEE Trans. Smart Grid

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Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty

Cited by 208 publications

References 29 publications

Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method

Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method

Proactive operation of electric vehicles in harmonic polluted smart distribution networks

Cable Replacement Considering Optimal Wind Integration and Network Reconfiguration

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