Multistage expansion planning of generation and interconnections with sustainable energy development criteria: A multiobjective model

Unsihuay-Vila, Clodomiro; Marangon-Lima, J.W.; Souza, Antônio Carlos Zambroni de; Pérez-Arriaga, Ignacio J.

doi:10.1016/j.ijepes.2010.08.021

Cited by 87 publications

(40 citation statements)

References 40 publications

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“…Delgado et al use a planning model in a stochastic setting to focus on the impact of nuclear (they for instance consider different scenarios for fuel and allowance prices) [9]. Unsihuay-Vila et al consider both generation and transmission expansion planning, in a load duration based model setting with multiple objectives (i.e., cost, lifecycle emissions and diversification) [10].…”

Section: Introductionmentioning

confidence: 99%

Accounting for flexibility in power system planning with renewables

Belderbos

Delarue

2015

International Journal of Electrical Power & Energy Systems

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Due to the increasing deployment of intermittent renewables, the residual load profile, as seen by the dispatchable generation units, becomes lower and more volatile. This paper introduces a new system planning model on a power plant resolution, taking into account technical operational constraints. The objective of this model is to determine the optimal set of generation units, able to serve a given demand. Two initial solutions are obtained; one from a classical screening curve model, and another from a model using mixed integer linear programming (MILP). These initial solutions are perturbed and combined with an operational model to validate and further improve the solution. The developed model complements other models available from the literature, in its level of detail (power plant level and full year -hourly time resolution) combined with a fast computation time (< 1 h). The evolution of the optimal amount of generation capacity as a function of the installed wind capacity is examined in a case study. As the share of wind power increases in the portfolio, a shift takes place from base load generation towards mid and peak load. This shift is triggered both by the lower demand and the increasing volatility. This demonstrates that operational constraints of power plants (individual basis) have an important impact on the configuration of the optimal generator set, and need being considered, especially at increasing rates of intermittent renewables.

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Section: Introductionmentioning

confidence: 99%

Accounting for flexibility in power system planning with renewables

Belderbos

Delarue

2015

International Journal of Electrical Power & Energy Systems

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“…10 See e.g., Botterud and Korpas, 2007, Dodu and Merlin, 1981, Elkarmi et al, 2010, Hu et al, n.d., Levitin and Lisniasnski, 1999, Manso and DaSilva, 2004, Malcolm and Zenios, 1994, Sanghvi, 1984, Smith and Villegas, 1997, Tekiner et al, 2010, and Unsihuay-Vila et al, 2011. 11 See e.g., ICSU (2007.…”

Section: Energy Demand Projectionsmentioning

confidence: 99%

Energy access scenarios to 2030 for the power sector in sub-Saharan Africa

et al. 2012

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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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“…In other words, we seek to maximize the carbon impact of adding renewable generation capacity. This problem is variant of the well studied Transmission Network Expansion Planning (TNEP) [4], [5], [6], [7], Generation Expansion Planning (GEP) [8], [9], [10], [11], and Integrated Resource Planning (IRP) [12], [13], [14] problems.…”

Section: Introductionmentioning

confidence: 99%

“…Literature Review While literature on Power Grid Expansion Planning (PGRP) goes back many decades, it has only been recently, with a few exceptions [18], that there has been interest in how to use planning to reduce carbon emissions [9], [14], [19]. We now briefly discuss some of these contributions in order to place this paper in the context of the existing literature.…”

Section: Introductionmentioning

confidence: 99%

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Grid expansion planning for carbon emissions reduction

Bent

Toole

2012

2012 IEEE Power and Energy Society General Meeting

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Abstract-In recent years the grid expansion planning problem has become increasingly complex and challenging. The integration of renewable generation is a source of many of these challenges. These challenges often include a deficiency in transmission capacity in regions with high potential for renewable energy production. Historically, this lack of capacity has had adverse effects such as negative price market conditions or the curtailing of other green generation sources. This paper considers a combined generation and transmission expansion model to avoid the curtailment of existing green generation sources, in other words maximize the realized carbon reduction of adding renewable generation. Recent work on Randomized Constructive Heuristics (RCH) has shown this approach to be quite effective in addressing the Transmission Network Expansion Planning (TNEP) problem. In this paper, we propose a generalization of RCH to handle simultaneous carbon reduction and expansion cost objectives as well as multi-scenario planning.

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Multistage expansion planning of generation and interconnections with sustainable energy development criteria: A multiobjective model

Cited by 87 publications

References 40 publications

Accounting for flexibility in power system planning with renewables

Accounting for flexibility in power system planning with renewables

Energy access scenarios to 2030 for the power sector in sub-Saharan Africa

Grid expansion planning for carbon emissions reduction

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