A decision support system for power generation expansion planning with a case study

Clímaco, João; Antunes, Carlos Henggeler; Martins, António Gomes; Marta, Joan; Almeida, A.T.

doi:10.1109/cdc.1990.203593

Cited by 1 publication

(2 citation statements)

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“…One of the earliest efforts in addressing GEP problem from a multiobjective perspective was presented as a two‐stage procedure for evaluation of power expansion planning . In a similar study, Climaco et al expressed a power GEP problem using multiobjective LP optimisation .…”

Section: Model Formulationmentioning

confidence: 99%

“…110 One of the earliest efforts in addressing GEP problem from a multiobjective perspective was presented as a two-stage procedure for evaluation of power expansion planning. 111 In a similar study, Climaco et al expressed a power GEP problem using multiobjective LP optimisation. 112 The study considered the optimisation of three objective functions: minimisation of the total expansion cost, maximisation of the generation scheme reliability, and the minimisation of environmental impacts.…”

Section: Multiobjective Gep Modelsmentioning

confidence: 99%

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A comprehensive state‐of‐the‐art survey on power generation expansion planning with intermittent renewable energy source and energy storage

2019

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Summary Generation expansion planning (GEP) is a power plant mix problem that identifies what, where, when, and how new generating facilities should be installed and when old units be retired over a specific planning horizon. GEP ensures that the quantity of electricity generated matches the electricity demand throughout the planning horizon. This kind of planning is of importance because most production and service delivery is dependent on availability of electricity. Over the years, the traditional GEP approaches have evolved to produce more realistic models and new solution algorithms. For example, with the agitation for green environment, the inclusion of renewable energy plants and energy storage in the traditional GEP model is gradually gaining attention. In this regards, a handful of research has been conducted to identify the optimal expansion plans based on various energy‐related perspectives. The appraisal and classification of studies under these topics are necessary to provide insights for further works in GEP studies. This article therefore presents a comprehensive up‐to‐date review of GEP studies. Result from the survey shows that the integration of demand side management, energy storage systems (ESSs), and short‐term operational characteristics of power plants in GEP models can significantly improve flexibility of power system networks and cause a change in energy production and the optimal capacity mix. Furthermore, this article was able to identify that to effectively integrate ESS into the generation expansion plan, a high temporal resolution dimension is essential. It also provides a policy discussion with regard to the implementation of GEP. This survey provides a broad background to explore new research areas in order to improve the presently available GEP models.

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Section: Model Formulationmentioning

confidence: 99%

Section: Multiobjective Gep Modelsmentioning

confidence: 99%