A new model to evaluate the dynamic adaptation of an electric distribution system

García, Elena; Schweickardt, Gustavo Alejandro; Andreoni, Alberto Mario

doi:10.1016/j.eneco.2007.05.003

Cited by 10 publications

(3 citation statements)

References 6 publications

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“…Demand-side management (DSM) is the process of managing the consumption of energy to optimize available and planned generation resources, and DSMIPs are the actions conducted by energy suppliers to promote investment. Garcia et al (2008) presented a model developed to evaluate the Dynamic Adaptation of an Electric Energy Distribution System with respect to planning for a given period of Tariff Control. The model is based on a two-stage strategy that deals with the mid/short-term and long-term planning, respectively.…”

Section: Ahp and Anp In The Construction Industrymentioning

confidence: 99%

The analytic hierarchy process and analytic network process: an overview of applications

Sipahi

Timor

2010

Management Decision

454

130

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Section: Ahp and Anp In The Construction Industrymentioning

confidence: 99%

The analytic hierarchy process and analytic network process: an overview of applications

Sipahi

Timor

2010

Management Decision

454

130

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“…over a 5-20 year time horizon, the foundation of which is normally a set of electricity (or energy) demand projections. Electricity capacity expansion planning generally tends to be based on some type of leastcost optimisation given various constraints that mirror existing physical infrastructure conditions, Elshafei, 1979, Garcia et al, 2008, Ghanadan and Koomey, 2005, Güven, 1994, Hart and Jacobson, 2011, Heinrich et al, 2007, Kobos et al, 2006, Pokharel and Chandrashekar, 1998, Psarras et al, 1990, Rachmatullah et al, 2007, Rath-Nagel and Voss, 1981, Samouilidis and Berahas, 1983, Shrestha and Bhattarai, 1994, Silva and Nakata, 2009, Spinney and Watkins, 1996, St. Denis and Parker, 2009, Turkson, 1990, Voropai and Ivanova, 2002, and Wu et al, 2000. 7 See e.g., Arango and Larsen, 2011, Auriol and Blanc, 2009, Dubash, 2003, Gillwald, 2005, Gratwick and Eberhard, 2008, Gualberti et al, 2009, Habtetsion and Tsighe, 2007, Haselip, 2007, Haselip and Hilson, 2005, Haselip and Potter, 2010, Jamasb, 2006, Malgas and Eberhard, 2011, Mebratu and Wamukonya, 2007, Nagayama, 2007, Nagayama, 2009, Nagayama and Kashiwagi, 2007, Nyoike, 2002…”

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confidence: 99%

Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa

Bazilian

Nussbaumer

Rogner³

et al. 2011

SSRN Journal

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SummaryIn order to reach a goal of universal access to modern energy services in Africa by 2030, consideration of various electricity sector pathways is required to help inform policy-makers and investors, and help guide power system design. To that end, and building on existing tools and analysis, we present several 'high-level', transparent, and economy-wide scenarios for the sub-Saharan African power sector to 2030. We construct these simple scenarios against the backdrop of historical trends and various interpretations of universal access. They are designed to provide the international community with an indication of the overall scale of the effort required. We find that most existing projections, using typical long-term forecasting methods for power planning, show roughly a threefold increase in installed generation capacity occurring by 2030, but more than a tenfold increase would likely be required to provide for full access -even at relatively modest levels of electricity consumption. This equates to approximately a 13% average annual growth rate, compared to a historical one (in the last two decades) of 1.7%. Abstract: In order to reach a goal of universal access to modern energy services in Africa by 2030, consideration of various electricity sector pathways is required to help inform policy-makers and investors, and help guide power system design. To that end, and building on existing tools and analysis, we present several 'high-level', transparent, and economy-wide scenarios for the subSaharan African power sector to 2030. We construct these simple scenarios against the backdrop of historical trends and various interpretations of universal access. They are designed to provide the international community with an indication of the overall scale of the effort required. We find that most existing projections, using typical long-term forecasting methods for power planning, show roughly a threefold increase in installed generation capacity occurring by 2030, but more than a tenfold increase would likely be required to provide for full access -even at relatively modest levels of electricity consumption. This equates to approximately a 13% average annual growth rate, compared to a historical one (in the last two decades) of 1.7%. Keywords

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“…It aims to minimise capital and investment cost. Paper [11] has developed a model based on two‐stage procedure that involves mid‐ and long‐term planning. A dynamic model is presented in [12] for expansion of distribution system at the presence of DER to solve total cost and technical constraint.…”

Section: Introductionmentioning

confidence: 99%

Smart distribution grid multistage expansion planning under load forecasting uncertainty

Ravadanegh

Jahanyari

Amini

et al. 2016

IET Generation, Transmission & Distribution

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A new model to evaluate the dynamic adaptation of an electric distribution system

Cited by 10 publications

References 6 publications

The analytic hierarchy process and analytic network process: an overview of applications

The analytic hierarchy process and analytic network process: an overview of applications

Energy Access Scenarios to 2030 for the Power Sector in Sub-Saharan Africa

Smart distribution grid multistage expansion planning under load forecasting uncertainty

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