Reconfiguration of distribution systems with distributed generators using Ant Colony Optimization and Harmony Search algorithms

Abdelaziz, Almoataz Y.; Osama, Reham A.; Elkhodary, Salem M.; El-Saadany, Ehab F.

doi:10.1109/pesgm.2012.6345125

Cited by 8 publications

(7 citation statements)

References 18 publications

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“…Several researchers have put forward diverse definitions of distributed generator as given in [4], [6], [17][18][19][20][21][22][23][24][25][26]. According to CIRED (1999), there is no consensus yet on the generally acceptable definition of DG.…”

Section: What Then Is Distributed Generator?mentioning

confidence: 99%

“…Though there are some other solutions, DG gives the best option to overcome load demand, economic and environmental challenges [4] among other methods such as FACTS devices for power system improvement, network reconfiguration, capacitor compensation, static VAR etc. [5][6][7][8][9][10][11][12][13][14][15][16]. Review of work done with distributed generators, will be the area of focus in this work.…”

Section: Introductionmentioning

confidence: 99%

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Critical Review of Different Methods for Siting and Sizing Distributed-generators

et al. 2018

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Due to several benefits attached to distributed generators such as reduction in line losses, improved voltage profile, reliable system etc., the study on how to optimally site and size distributed generators has been on the increase for more than two decades. This has propelled several researchers to explore various scientific and engineering powerful simulation tools, valid and reliable scientific methods like analytical, meta-heuristic and hybrid methods to optimally place and size distributed generator(s) for optimal benefits. This study gives a critical review of different methods used in siting and sizing distributed generators alongside their results, test systems and gaps in literature.

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Section: What Then Is Distributed Generator?mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Critical Review of Different Methods for Siting and Sizing Distributed-generators

et al. 2018

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“…The unbalance ratio (phasing unbalance index (PUI)) of current can be calculated in the same way as voltage unbalance ratio using the following equation [4,5]:…”

Section: Fig 1: Three Phase Supply Voltage (A) Balanced System (B) Umentioning

confidence: 99%

“…Another method for balancing the current in the substation transformer is by always measuring the output currents and exchanging the connection of largest and smallest load phases [3]. Another research compounded this method with intelligent Neural Network [4]. In a simulation method that related to the last one, the instant current of each load was measured at the transformer via Power Line Carrier.…”

Section: Introductionmentioning

confidence: 99%

Wireless Control System for Three Phase Loads Balancing in Distribution Networks

Abdulmuttalib¹,

Fadhela²,

Osama³

2018

IJCA

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The aim of this paper is to design and construction a wireless control system for three phase loads balancing in a regional transformer. This system is designed to solve the problems of the loads imbalance to avoid the losses of the electricity in the distribution networks and also to protect the elements of the network like transformers from damages. The important parts of the wireless control system are the three phase smart energy meters which equipped at each house within this system. These meters send their electrical measurement quantities wirelessly to the main control system (base station). The base station uses the received electrical measurement quantities of the smart meters to investigate the equilibrium among the three phase lines of the transformer by swapping some phases of the houses. The swap phases are chosen according to the heuristic search algorithm and the equilibrium is achieved when the maximum acceptable rate of PUI (phasing unbalance index) is 10 %. Each smart meter in each house is equipped by six contactors used for the phases swapping. The designed wireless control system is tested in several experiment results to indicate it is performance. General TermsDistribution network, Loads balancing system.

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“…The proposed method was compared with Acharya's method and classical grid search algorithm. Other methods that have also been deployed are Newton Raphson method of load flow study [8], power flow algorithm [9], second-order power flow sensitivities [10], differential evolution [11], discrete particle swarm optimisation [12], ant colony optimisation [13], particle swarm optimisation [14]. Most of the previous methods deployed were based on iterative approach and varying location in order to ascertain optimal result.…”

Section: Introductionmentioning

confidence: 99%

Deployment of Power Network Structural Topology to Optimally Position distributed Generator within Distribution System

Somefun¹,

Awosope²,

Abdulkareem³

et al. 2020

JESTR

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Distribution system is very essential to load centre or service mains. This is because it is the final section of electric power system (EPS) to supply the consumers. Once this section is compromised, low voltage consumers will be denied of a reliable supply of electricity. One way to make supply to low voltage consumers reliable is by bringing generation close to them through distributed generators. However, location of distributed generator is very important with respect to the entire EPS security. In this study, power network structural topology (PNST) is proposed to optimally locate distributed generator within distribution system which results in minimal loss as well as maintaining voltage profile within constraint limits. 5bus IEEE test system was used as case study to show the feasibility of the proposed method. Results obtained for both test systems were validated through the results from power world simulation tool.In this section, power network structural topology (PNST) and power world simulation software are considered. The PNST is the proposed approach in this study while power world simulation software is used to validate the result obtained from PNST. Power network structural TopologyPower network structural topology (PNST) is an approach that considers the inherent characteristic of electric power circuitry in order solve power system problems. PNST approach proposed in this study, is based on the two-port network technique which has been reported in previous works [15][16][17].

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Reconfiguration of distribution systems with distributed generators using Ant Colony Optimization and Harmony Search algorithms

Cited by 8 publications

References 18 publications

Critical Review of Different Methods for Siting and Sizing Distributed-generators

Critical Review of Different Methods for Siting and Sizing Distributed-generators

Wireless Control System for Three Phase Loads Balancing in Distribution Networks

Deployment of Power Network Structural Topology to Optimally Position distributed Generator within Distribution System

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