A knowledge-based approach for network radiality in distribution system reconfiguration

Solo, Ashu M. G.; Ramakrishna, G.; Sarfi, R.J.

doi:10.1109/pes.2006.1709616

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…Thus, the radiality constraint is present in almost all of operation planning and expansion problems of electric distribution networks [25], [26]. The radial configuration in which the IMG must operate should not possess any closed path with all nodes energized.…”

Section: Problem Constraintsmentioning

confidence: 99%

Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

Abdelaziz

Farag

El-Saadany

2016

IEEE Trans. Power Syst.

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This paper proposes a new formulation for the optimum reconfiguration of islanded microgrid (IMG) systems. The reconfiguration problem is casted as a multi-objective optimization problem, in order to: 1) minimize the IMG fuel consumption in the operational planning horizon for which islanded operation is planned; 2) ensure the IMG capability to feed the maximum possible demand by enhancing its voltage instability proximity index taken over all the states at which the islanded system may reside; and 3) minimize the relevant switching operation costs. The proposed problem formulation takes into consideration the system's operational constraints in all operating conditions based on the consideration of the uncertainty associated with renewable resources output power and load variability. Moreover, the proposed formulation accounts for droop controlled IMG special operational characteristics as well as the availability/unavailability of a supervisory microgrid central controller (MGCC). The formulated problem is solved using non-dominated sorting genetic algorithm II (NSGA-II). MATLAB environment has been used to test and validate the proposed problem formulation. The results show that the implementation of appropriate IMG reconfiguration problem formulations will enhance the performance of IMG systems and facilitate a successful integration of the microgrid concept in distribution networks.Index Terms-Distributed generation, distribution network reconfiguration, droop control, islanded microgrids, renewable energy resources.

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Section: Problem Constraintsmentioning

confidence: 99%

Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

Abdelaziz

Farag

El-Saadany

2016

IEEE Trans. Power Syst.

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“…In [7], the switch exchanges are carried out based on an estimate of the sensitivity of active power loss to power loss minimization. A knowledge-based network that identifies a pair of switching status to ensure the radial topology of the network is provided in [8]. Although knowledge-based heuristic techniques are thought to be the most natural and straightforward, they do not always produce the best results for highly complex systems [9].…”

Section: Figure 1 Classification Of Used Methodsmentioning

confidence: 99%

“…The literature can be roughly divided into three categories based on the methods used to tackle the problem of separately or simultaneously integration of DGs and NR: (i) heuristic and metaheuristic strategies [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23]; (ii) analytical techniques [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40]; and (iii) hybrid techniques [41][42][43][44][45][46][47][48][49]. Fig.…”

Section: Introductionmentioning

confidence: 99%

Simultaneously Distributed Generation Allocation and Network Reconfiguration in Distribution Network Considering Different Loading Levels

Kamel,

Khasanov,

Jurado

et al. 2023

IEEE Access

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This paper presents an application of new developed meta-heuristic Geometric Mean Optimization (GMO) algorithm, which mimics geometric mean operator unique features in mathematics with combination of power loss sensitivity index (PLSI) for the problem of optimal network reconfiguration (NR), optimal distributed generation (DG) unit allocation with optimal power factor (OPF) and unity power factor (UPF), simultaneous optimal NR and allocation of DG units with considering UPF and OPF, taking into account operational constraints and three loading levels (0.5 p.u loading (light load level), 1.0 p.u loading (nominal load level) 1.6 p.u loading (heavy load level) to solve single and multi-objective functions such as maximize voltage stability index (VSI), minimize total active power loss (TAPL) and voltage deviation (VD) in distribution network (DN). The effectiveness of the proposed technique has been evaluated on IEEE 33 bus and 69-bus networks. As a result of simultaneous optimal NR and DG unit allocation with OPF, substantial improvements have been observed in terms of VSI and minimization of TAPL and VD, as compared to optimal simultaneous NR and DG unit allocation with UPF, only DG unit allocation with UPF and OPF, and only NR and base case. When multiple objectives are considered, simultaneous allocation of NR and DG units with OPF provides better results for all types of load conditions. Using the results at nominal load level for the objective of TAPL, the proposed technique was compared with the results obtained with other existing algorithms in the literature to assess its efficacy. Based on the comparison of results, it is determined that the combined technique outperforms other techniques in the literature for the goal of TAPL at a nominal load level for all cases. This proposed technique process has a good accuracy and convergence speed which makes it a good choice for simultaneous optimal NR and DG unit allocation with UPF and OPF for problem-solving for all load conditions.

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“…Reference [9] provides a method, based on graph theory, to identify all the radial configurations in a terrestrial electrical distribution network. A knowledge-based system, implemented in the CLIPS language, is used by [10] in order to preserve a radial configuration for terrestrial electrical distribution network. Expert systems are used in [11] [12] in order to restore electrical power to as much electrical loads as possible in a shipboard after a failure event.…”

Section: State Of the Art Of Electrical Network Reconfigurationmentioning

confidence: 99%

Knowledge-based system for aircraft electrical power system reconfiguration

Giraud¹,

Piquet²,

Budinger³

et al. 2012

2012 Electrical Systems for Aircraft, Railway and Ship Propulsion

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Aircraft electrical power system (EPS), in charge of supplying power to aircraft electric systems, needs a reconfiguration capability in order to overcome cases of EPS component failures. During the design phase, EPS reconfiguration elicitation is a complex task due to the high number of failure combinations and to the aeronautical operational constraints, which are to be taken into account. Therefore a knowledge-based system is developed in order to help designers for such a task. It is based on the implementation of two different types of rules: mandatory and know-how rules. EPS connectivity is managed by graph-theory algorithms. The knowledge-based system is capable of producing several reconfiguration solutions. The knowledge-based system functioning is illustrated in detail on a simplified EPS. Results on an actual and modern EPS are also presented.I.

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A knowledge-based approach for network radiality in distribution system reconfiguration

Cited by 9 publications

References 6 publications

Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

Optimum Reconfiguration of Droop-Controlled Islanded Microgrids

Simultaneously Distributed Generation Allocation and Network Reconfiguration in Distribution Network Considering Different Loading Levels

Knowledge-based system for aircraft electrical power system reconfiguration

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