Analysis of optimal conductor selection for radial distribution systems using DPSO

Manikandan, S.; Sasitharan, S.; Rao, J. Viswanatha; Moorthy, V. Prasanna

doi:10.1109/icees.2016.7510623

Cited by 8 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This extends to minimizing conductor depreciation costs, highlighted in [40], [45], [67]. Opex also encompasses interruption costs, emphasized in [110], and depreciation on capital, as seen in [62]. Additional costs including installation and maintenance are also included in the Opex [100].…”

Section: Economic Objectivesmentioning

confidence: 99%

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

Waswa,

Chihota,

Bekker

2023

IEEE Access

View full text Add to dashboard Cite

Conductor size selection (CSS) is critical for the optimal design and operation of distribution networks. CSS, like other aspects of network planning, has become increasingly sophisticated as the prevalence of distributed energy resources (DERs) increases. This complexity is linked to DER operational and planning uncertainties, which often exacerbate network issues. Increased uncertainty and uncontrolled DER penetration can result in increased conductor loading and extreme voltage performance concerns (rise, drop, and unbalance) that lower the quality of supply (QoS). Traditional CSS techniques, which were developed for passive systems, do not take DERs into account. Therefore, continued application of these methodologies in CSS for modern networks is untenable. As a result, the shift towards active network design and planning requires new CSS techniques that can enhance the adoption of DERs and facilitate optimal longterm network planning. This paper presents a review of CSS methodologies, focusing on the advances made to accommodate DERs, particularly the adaptation of modeling processes to cater to DER planning and operational uncertainties, and its impacts on other key aspects of CSS. Key CSS processes, including the choice of the CSS objectives, input (loads, generation, and feeder) modeling, load flow assessment, optimization, as well as the incorporation of risk in DER analysis are discussed. Informed by the review, the paper scopes the requirements for a robust CSS methodology for active networks with high DER penetration. The findings of the paper are relevant to future research in the field of active distribution network design with a focus on optimizing the integration and utilization of DERs and the related technical performance of networks.

show abstract

Section: Economic Objectivesmentioning

confidence: 99%

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

Waswa,

Chihota,

Bekker

2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…Particle swarm optimization (PSO) is a metaheuristic approach inspired by the social behavior of some organisms such as schools of fish and flocks of birds. The OCS has also been solved through PSO [15,16], selective particle swarm optimization (SPSO) [17], discrete particle swarm optimization (DPSO) [18] and salp swarm optimization (SSO) [19].…”

Section: Introductionmentioning

confidence: 99%

Optimal Integration of Distribution Network Reconfiguration and Conductor Selection in Power Distribution Systems via MILP

Gallego Pareja,

López-Lezama,

Gómez Carmona

2023

Energies

View full text Add to dashboard Cite

Power distribution systems (PDS) comprise essential electrical components and infrastructure that facilitate the delivery of electrical energy from a power transmission system to end users. Typically, the topology of distribution systems is radial, so that power goes from the substations to end users through main lines or feeders. However, the expansion of new feeders to accommodate new users and ever-growing energy demand have led to higher energy losses and deterioration of the voltage profile. To address these challenges, several solutions have been proposed, including the selection of optimal conductors, allocation of voltage regulators, utilization of capacitor banks, implementation of distributed generation, and optimal reconfiguration. Although reconfiguring the network is the most cost-effective approach, this solution might not be sufficient to completely minimize technical losses and improve system performance. This paper presents a novel approach that combines optimal distribution network reconfiguration (ODNR) with optimal conductor selection (OCS) to minimize power losses and enhance the voltage profiles of PDS. The key contribution lies in the integration of the ODNR and OCS into a single MILP problem, ensuring the attainment of globally optimal solutions. The proposed model was tested with benchmark 33-, 69-, and 85-bus test systems. The results allowed us to conclude that the combined effect of ODNR and OCS presents better results than when any of these approaches are applied either separately or sequentially.

show abstract

“…Los autores de [1] propusieron un modelo matemático exacto para la solución del problema de selección óptima de conductores usando el software AMPL, los resultados demuestran la eficiencia del modelo propuesto, sin embargo, no se proveen comparaciones con otros métodos de optimización. Otras de las metodologías comunes para la selección óptima de conductores en sistemas de distribución son: recocido simulado [11], optimización por enjambre de partículas [12], y algoritmo de optimización de murciélagos [13], entre otros.…”

Section: Introductionunclassified

Selección óptima de conductores en sistemas de distribución utilizando la versión discreta del algoritmo de senos y cosenos

Montoya Giraldo,

Riaño Enciso,

Contreras Sepúlveda

2023

Sci. tech

View full text Add to dashboard Cite

El problema de selección óptima de calibres de conductores para sistemas de distribución de energía eléctrica se abordó en este artículo mediante la aplicación de la versión discreta del algoritmo de senos y cosenos (ASC). La implementación de la metodología se solución propuesta se realiza en el software y e MATLAB para dos alimentadores de prueba compuestos de 8 y 27 nodos con topología radial. Para validar los resultados se emplea el software DigSILENT para obtener los perfiles de tensión y el costo de las pérdidas de energía mediante la aplicación del método de Newton-Raphson para flujo de potencia. Para comparar la eficiencia y robustez de la metodología propuesta se emplean el algoritmo genético de Chu & Beasley y la solución del modelo exacto de programación no lineal en el software GAMS.

show abstract

Analysis of optimal conductor selection for radial distribution systems using DPSO

Cited by 8 publications

References 4 publications

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

Toward Optimal Active Distribution Network Planning: A Critical Review of Conductor Size Selection Methods

Optimal Integration of Distribution Network Reconfiguration and Conductor Selection in Power Distribution Systems via MILP

Selección óptima de conductores en sistemas de distribución utilizando la versión discreta del algoritmo de senos y cosenos

Contact Info

Product

Resources

About