Optimal location and sizing of real power DG units to improve the voltage stability in the distribution system using ABC algorithm united with chaos

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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“…However, the approach has still not been considered in depth by the researchers. [47]; VPQ (B) [62].…”

Section: (3) Harmony Search Algorithm (Hs)mentioning

confidence: 99%

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

2017

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“…Algunas de las técnicas mono-objetivo más empleadas son: algoritmo genético [50], enjambre de partículas [51], recocido simulado [52], búsqueda tabú [53], algoritmos inmunes [54], colonia de hormigas [55], enjambre de abejas [56], entre otros. Dentro las técnicas multi-objetivo, las más conocidas y empleadas son: algoritmo de ordenamiento no dominado (NSGA, por sus siglas en inglés) [57] y el algoritmo caótico artificial colonia de abejas (CABC, de sus siglas en inglés) [58]. En la literatura se puede encontrar gran cantidad de trabajos que implementan este tipo de técnicas en la integración de GD, entre los que se encuentran los siguientes:…”

Section: Métodos Heurísticos Y Metaheurísticosunclassified

“…• Mohandas et al [58] presentan una metodología para la integración de múlti-ples unidades de GD, utilizando el Indice de Rendimiento Multi-objetivo (Multi Objective Performance Index [MOPI]), para mejorar la estabilidad de la tensión del SD. El problema es resuelto implementando el algoritmo Caótico Artificial de Colonia de Abejas (Caotic Artificial Bee Colony [CABC]).…”

Section: Métodos Heurísticos Y Metaheurísticosunclassified

Ubicación y dimensionamiento de generación distribuida: Una revisión

Grisales

Cuestas

Jaramillo

2017

Cien.Ing.Neogranadina

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La generación distribuida (GD) se presenta como un apoyo para suplir la demanda del sistema de forma localizada, lo que permite además como alternativas de generación el uso de fuentes de energía renovables a pequeña escala. Como aporte principal, este artículo presenta las consideraciones que se deben tener en cuenta al momento de analizar, modelar y solucionar el problema de ubicación y dimensionamiento de GD en la red eléctrica de distribución. Inicialmente, se enuncian los aspectos técnicos de la red, el modelado de las cargas e impactos de la GD; seguido de la formulación del modelo matemático del problema, principales técnicas de solución y metodologías aplicadas en la literatura; finalmente, se muestran las investigaciones futuras en este campo de estudio. Todo lo anterior en busca de mejorar las condiciones operativas de la red. Dentro de la revisión de los trabajos presentados por los diferentes autores, se encontró que una gran parte de los estudios se enfocan en los aspectos técnicos, sin tener en cuenta los costos asociados a la integración de GD, ni los incentivos económicos a los que puede ser susceptibles este tipo de proyectos, que son de vital importancia para evaluar la viabilidad de la propuesta de integración.

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“…The multi-objective performance index was presented in Ref. [10] to improve the voltage profile and reduces the system losses. In [11], the crisscross optimal algorithm and Monte Carlo simulation was proposed to minimize the total cost and power losses.…”

Section: Introductionmentioning

confidence: 99%

Minimizing Power Losses in Distribution Systems Using GA in Planning and Operation: A Case Study for DGs and SCs

Tung¹,

Mottola²,

Testa³

2017

IJGDC

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Optimal location and sizing of real power DG units to improve the voltage stability in the distribution system using ABC algorithm united with chaos

Cited by 124 publications

References 27 publications

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

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

Ubicación y dimensionamiento de generación distribuida: Una revisión

Minimizing Power Losses in Distribution Systems Using GA in Planning and Operation: A Case Study for DGs and SCs

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