Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss

Amanulla, B.; Chakrabarti, Saikat; Singh, S. N.

doi:10.1109/tpwrd.2011.2179950

Cited by 259 publications

(146 citation statements)

References 26 publications

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“…• Benefits: Easy to code, efficient computation time and better convergence than GA. [61,65], [67]]; CRU (C) [76,88]; NTR (D) [92,93].…”

Section: Meta-heuristics (Mh) Methodsmentioning

confidence: 99%

“…Moreover, component (protection and automation devices) placement, modern grid reinforcement and upgrades (CRU) [71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89]. Finally a change of topology and/or NTR has discussed as a planning option in [90][91][92][93][94][95][96][97][98][99][100]. The details in each category are discussed in later sections.…”

Section: Paper Contributionmentioning

confidence: 99%

“…Planning components associated to each PT in reviewed work are designated with symbols A, B, C, and D, respectively, also shown in an overarching diagram as in Figure 1. The color coding allocated to each PT in the arrangement order includes green (A) for DGP ; orange (B) for VPQ [53][54][55][56][57][58][59][60][61][62][63][64][65][66][67][68][69][70]; blue (C) for CRU [71][72][73][74][75][76][77][78][79][80][81][82][83][84][85][86][87][88][89] and purple (D) for NTR [90][91][92][93][94][95][96][97][98][99][100]. It is important to note that date o...…”

Section: Composite Review Of Mop Techniques With Taxonomymentioning

confidence: 99%

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Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

2017

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Distribution networks (DNWs) are facing numerous challenges, notably growing load demands, environmental concerns, operational constraints and expansion limitations with the current infrastructure. These challenges serve as a motivation factor for various distribution network planning (DP) strategies, such as timely addressing load growth aiming at prominent objectives such as reliability, power quality, economic viability, system stability and deferring costly reinforcements. The continuous transformation of passive to active distribution networks (ADN) needs to consider choices, primarily distributed generation (DG), network topology change, installation of new protection devices and key enablers as planning options in addition to traditional grid reinforcements. Since modern DP (MDP) in deregulated market environments includes multiple stakeholders, primarily owners, regulators, operators and consumers, one solution fit for all planning scenarios may not satisfy all these stakeholders. Hence, this paper presents a review of several planning techniques (PTs) based on mult-objective optimizations (MOOs) in DNWs, aiming at better trade-off solutions among conflicting objectives and satisfying multiple stakeholders. The PTs in the paper spread across four distinct planning classifications including DG units as an alternative to costly reinforcements, capacitors and power electronic devices for ensuring power quality aspects, grid reinforcements, expansions, and upgrades as a separate category and network topology alteration and reconfiguration as a viable planning option. Several research works associated with multi-objective planning techniques (MOPT) have been reviewed with relevant models, methods and achieved objectives, abiding with system constraints. The paper also provides a composite review of current research accounts and interdependence of associated components in the respective classifications. The potential future planning areas, aiming at the multi-objective-based frameworks, are also presented in this paper.Keywords: active distribution network (ADN); distributed generation (DG); distributed energy resources (DERs); distribution network planning (DP); multi-objective optimization (MOO); multi-criteria decision analysis (MCDA); distributed generation placement (DGP); volt-ampere reactive power (VAR) compensation and power quality (VPQ); component reinforcement and up gradation (CRU); network (distribution) topology change and reconfiguration (NTR); planning techniques (PT); multiple objective planning (MOP); multi-objective planning techniques (MOPTs); future distribution networks (FDNs)

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“…• Benefits: Easy to code, efficient computation time and better convergence than GA. [61,65], [67]]; CRU (C) [76,88]; NTR (D) [92,93].…”

Section: Meta-heuristics (Mh) Methodsmentioning

confidence: 99%

Section: Paper Contributionmentioning

confidence: 99%

Section: Composite Review Of Mop Techniques With Taxonomymentioning

confidence: 99%

See 1 more Smart Citation

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

2017

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“…From a theoretical perspective, a network reconfiguration is an optimisation problem which may have different objective functions, such as minimum switching operations, minimum power loss, balanced feeder load balancing, or their combination [3][4][5][6][7][8][9] to comply with a set of operational constraints such as bus bar voltage limits, line or cable capacity ratings and fault levels. Generally these methods can be grouped into several categories; classic optimization technique [10][11][12][13], sensitivities analysis method [14], knowledge-based heuristic method [15][16][17][18], and Genetic Algorithms [19].…”

Section: Introductionmentioning

confidence: 99%

Distribution network reconfiguration validation with uncertain loads – network configuration determination and application

Bai

Mavrocostanti

Strickland

et al. 2016

IET Generation, Transmission & Distribution

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Automatic load transfer (ALT) on the 11kV network is the process by which circuit breakers on the network are switched to form open points in order to feed load from different primary substations. Some of the potential benefits that may be gained from dynamically using ALT include maximising utilisation of existing assets, voltage regulation and reduced losses. One of the key issues, that has yet to be properly addressed in published research, is how to validate that the modelled benefits really exist. On an 11kV distribution network where the load is continually changing and the load on each distribution substation is unlikely to be monitored -reduction in losses from moving the normally open point is particularly difficult to prove. This paper proposes a method to overcome this problem and uses measured primary feeder data from two parts of the Western Power Distribution 11kV Network under different configurations. The process of choosing the different configurations is based on a heuristic modelling method of locating minimum voltages to help reduce losses.

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“…With these approaches, linear programming cannot be used because we have more than one objective function. Thereby, different artificial intelligence based methods have been used: evolutionary [31], branch exchange [32] and particle swarm optimization [33].…”

Section: Introductionmentioning

confidence: 99%

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

et al. 2013

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Reconfiguration, by exchanging the functional links between the elements of the system, represents one of the most important measures which can improve the operational performance of a distribution system. The authors propose an original method, aiming at achieving such optimization through the reconfiguration of distribution systems taking into account various criteria in a flexible and robust approach. The novelty of the method consists in: the criteria for optimization are evaluated on active power distribution systems (containing distributed generators connected directly to the main distribution system and microgrids operated in grid-connected mode); the original formulation (Pareto optimality) of the optimization problem and an original genetic algorithm (based on NSGA-II) to solve the problem in a non-prohibitive execution time. The comparative tests performed on test systems have demonstrated the accuracy and promptness of the proposed algorithm.

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Reconfiguration of Power Distribution Systems Considering Reliability and Power Loss

Cited by 259 publications

References 26 publications

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Multi-Objective Planning Techniques in Distribution Networks: A Composite Review

Distribution network reconfiguration validation with uncertain loads – network configuration determination and application

Pareto Optimal Reconfiguration of Power Distribution Systems Using a Genetic Algorithm Based on NSGA-II

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