A new model applied to the planning of distribution systems for competitive electricity markets

Thang, V. V.; Thong, D. Q.; Khanh, Bach Quoc

doi:10.1109/drpt.2011.5993970

Cited by 9 publications

(7 citation statements)

References 9 publications

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“…2. Procedimiento general del NSGA-II encontrados en [19], [29], [30]. Se considera inicialmente que no existen ramales de interconexión en el sistema, siendo propuestos 6 locales para posibles construcciones de estos ramales.…”

Section: Análisis De Los Resultadosunclassified

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Switch and tie lines allocation in distribution systems using NSGA II

Caetano

Pereira

Amorim

et al. 2014

2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV)

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An optimization mathematical model to minimize the costs associated with energy not supplied and investments on the allocation of sectionalizing switches and tie lines between branches and / or feeders in primary distribution systems is presented. This is a mixed integer nonlinear programming model, which considers the power flow constraints and continuity indexes. A set of trade-off solutions between total cost of investments and network reliability is obtained using a multiobjective genetic algorithm (Non-Dominated Sorting Genetic Algorithm II -NSGA II. It is demonstrated that by considering these two elements at the same time, the results are better than when these elements are considered isolated on the mathematical models.

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Section: Análisis De Los Resultadosunclassified

“…y un máximo de 1.10 p.u. [1], y para el límite de corriente fue la capacidad de los conductores [30]. El cálculo de estas restricciones fue a través de un algoritmo de flujo de potencia trifásico presentado en [32].…”

Section: Análisis De Los Resultadosunclassified

Switch and tie lines allocation in distribution systems using NSGA II

Caetano

Pereira

Amorim

et al. 2014

2014 IEEE Central America and Panama Convention (CONCAPAN XXXIV)

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“…Technical requirement constraints of limited nodal voltage are given in equation (6). Voltages at substation nodes are assumed constantly.…”

Section: ) Constraints Of Limited Nodal Voltagementioning

confidence: 99%

“…The objective function of the two-stage DS planning model in [5] includes the minimum of total costs for upgrading feeders, substation transformers and DG construction, energy expenses purchased from market and environmental pollution costs. Similarly, [6] introduced a DS planning model determining optimized equipment sizing and timeframe required for DS upgrading. The selection issues optimal displacement, sizing, installation period and technology of DG to meet the demand growth are presented in [6].…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, [6] introduced a DS planning model determining optimized equipment sizing and timeframe required for DS upgrading. The selection issues optimal displacement, sizing, installation period and technology of DG to meet the demand growth are presented in [6]. In previous studies, the power of DG is always assumed to be constant without regarding to the natural variability of DG capacity which depends on the primary energy, this is not practical.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Model Calculated Distribution Systems Planning Intergrated Distribution Generators for Competitive Electricity Markets

Thang¹,

Thúy²,

Thong³

et al. 2013

JSEA

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Recently, the distributed generator (DG) has been successfully studied and applied in distribution system at many countries around the world. Many planning models of the DG integrated distribution system have been proposed. These models can choose the optimization locations, capacities and technologies of DG with the objective function minimizing power loss, investment costs or total life cycle costs of the investment project. However, capacity of DG that uses renewable energy resources is natural variability according to primary energy. This study proposed a planning model of optimized distribution system that integrates DG in the competitive electricity market. Model can determine equipment sizing and timeframe requiring for upgrading equipment of distribution system as well as select DG technologies with power variable constraints of DG. The objective function is minimizing total life cycle cost of the investment project. The proposed model is calculated and tested for a 48-bus radial distribution system in the GAMS programming language

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The Optimization Model for Calculating Distribution System Planning Integrated Photovoltaic

Thang

2016

Advances in Information and Communication Technology

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A new model applied to the planning of distribution systems for competitive electricity markets

Cited by 9 publications

References 9 publications

Switch and tie lines allocation in distribution systems using NSGA II

Switch and tie lines allocation in distribution systems using NSGA II

A Novel Model Calculated Distribution Systems Planning Intergrated Distribution Generators for Competitive Electricity Markets

The Optimization Model for Calculating Distribution System Planning Integrated Photovoltaic

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