Identification of Generation Expansion Plans in Competitive Markets

Cerda, Patricia; Larrain, M.; Rudnick, H.

doi:10.1109/tla.2011.6030989

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…As mentioned before, the main purpose of GEP in deregulated market is to maximise the revenue of generation companies (GENCOs), while the purpose of GEP in regulated system is to minimise the cost. In deregulated power systems, each GENCO tries to maximise their own revenue while satisfying the independent system operator (ISO) criteria such as reliability, reserve margin and load satisfaction [93]. Electricity market in GEP problem has been widely investigated.…”

Section: Deregulated Electricity Marketmentioning

confidence: 99%

Comprehensive review of generation and transmission expansion planning

Hemmati¹,

Hooshmand²,

Khodabakhshian³

2013

IET Generation, Transmission & Distribution

253

162

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Section: Deregulated Electricity Marketmentioning

confidence: 99%

Comprehensive review of generation and transmission expansion planning

Hemmati¹,

Hooshmand²,

Khodabakhshian³

2013

IET Generation, Transmission & Distribution

253

162

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“…Moreover, GEP problem is also solved by metaheuristic optimization techniques such as ant colony, tabu search, genetic algorithm, honey bee algorithm, artificial immune system, evolutionary programming, and PSO . Also, GEP studies are carried out by considering various single objectives such as minimizing planning cost, maximizing planning profit in deregulated electricity market, improving reliability, reducing environmental pollution, and considering demand‐side management programs . Eventually, GEP problem has been solved subject to several constraints such as reliability, environmental pollution, investment cost, and security …”

Section: Introductionmentioning

confidence: 99%

Multistage multiobjective electricity generation expansion planning for Tamil Nadu considering least cost and minimal GHG emission

Bhuvanesh¹,

Christa²,

Subramanian³

et al. 2018

Int Trans Electr Energ Syst

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Summary Developing countries like India necessitates installation of new power plants to meet the elevating electricity demand. Several single‐objective mathematical formulations are modeled and solved previously for short‐term and long‐term power generation expansion planning aiding power system planners to ensure optimal decision. The input data, such as forecasted demands, economic and technical data of the generating units are numerous and unmanageable to be analyzed manually. Modern power systems have faced major challenge in solving multiple objectives such as least cost and minimal greenhouse gas emissions simultaneously. This paper presents an application of multiobjective differential evolution algorithm to multistage, multiobjective generation expansion planning problem for Tamil Nadu, a state in India. The multiobjective generation expansion planning problem has been solved for short‐term (6 years) and long‐term (12 years) planning horizon by considering 8 different cases and also compared with Nondominated Sorting Genetic Algorithm version II.

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“…Existe una gran cantidad de variantes con respecto a detalles de modelado y métodos de solución que han sido propuestos para el PEG. Si bien minimizar el costo de instalación y operación de las nuevas unidades generadoras es el principal objetivo del PEG, también se han considerado aspectos como la maximización de las ganancias de los generadores en mercados desregulados (Cerda et al, 2011), maximización de la confiabilidad (Murugan et al;2009) y minimización de emisiones contaminantes (Tekiner et al, 2010). Estudios recientes sobre el PEG han prestado especial atención al tema ambiental.…”

Section: Introductionunclassified

Planeamiento Integrado de la Expansión en Generación y Transmisión Considerando Restricciones de Seguridad

2018

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Este artículo presenta un modelo para el Planeamiento Integrado de la Expansión en Generación y Transmisión (PIEGT) considerando restricciones de seguridad. El modelo propuesto combina el problema de planeamiento de expansión de la transmisión (PET) con el problema de planeamiento de la expansión en generación (PEG) adicionando restricciones de seguridad (criterio N-1). El problema resultante (PIEGT) es abordado usando un modelo de programación lineal entera mixta. La principal contribución del artículo es la introducción de restricciones de seguridad en el PIEGT. Los resultados muestran que incluir generación a pequeña escala en el planeamiento de redes de transmisión reduce el número de líneas y los costos totales en los se incurre para atender la demanda esperada. Se realizaron pruebas utilizando el sistema Garver de 6 barras y los sistemas IEEE de 24 y 48 barras, evidenciando la aplicabilidad del modelo propuesto.

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Identification of Generation Expansion Plans in Competitive Markets

Cited by 8 publications

References 9 publications

Comprehensive review of generation and transmission expansion planning

Comprehensive review of generation and transmission expansion planning

Multistage multiobjective electricity generation expansion planning for Tamil Nadu considering least cost and minimal GHG emission

Planeamiento Integrado de la Expansión en Generación y Transmisión Considerando Restricciones de Seguridad

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