High-resolution modeling framework for planning electricity systems with high penetration of renewables

Pina, André; Silva, Carlos Antônio da; Ferrão, Paulo

doi:10.1016/j.apenergy.2013.05.074

Cited by 155 publications

(99 citation statements)

References 25 publications

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“…Such improved representation can have significant impact on the actual amount of RES generation achieved in a system or on CO 2 emissions [21] [22]. Several approaches also have used planning models as TIMES, soft-linked to an operational model to validate results in technical terms [23][24].…”

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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“…As stated in [68], this feedback mechanism is often ignored. In [14], maximum investment in wind generation capacity is restricted if annual curtailment of wind generation exceeds 10% of the expected annual wind generation. This feedback loop thus only directly impacts wind generation capacities.…”

Section: State Of the Art Methodologiesmentioning

confidence: 99%

“…Multiple authors have recently analysed the impact of temporal detail [10][11][12][13][14][15][16], technical detail [10,11,[17][18][19][20] and spatial detail [21][22][23] employed in long-term planning models. Depending on the representation of integration challenges, low levels of detail can either favour or disfavour VRES: For high penetrations of VRES, If electricity is treated as a homogeneous good or only a low number of averaged time-slices is used, the low level of detail leads to an overestimation of the value of baseload technologies and VRES, while the value of flexible generation technologies with higher generation costs is underestimated [10].…”

Section: Introductionmentioning

confidence: 99%

Integrating short term variations of the power system into integrated energy system models: A methodological review

Collins

Deane

Poncelet

et al. 2017

Renewable and Sustainable Energy Reviews

235

145

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It is anticipated that the decarbonisation of the entire energy system will require the introduction of large shares of variable renewable electricity generation into the power system. Long term integrated energy systems models are useful in improving our understanding of decarbonisation but they struggle to take account of short term variations in the power system associated with increased variable renewable energy penetration. This can oversimplify the ability of power systems to accommodate variable renewables and result in mistaken signals regarding the levels of flexibility required in power systems. Capturing power system impacts of variability within integrated energy system models is challenging due to temporal and technical simplifying assumptions needed to make such models computationally manageable. This paper addresses a gap in the literature by reviewing prominent methodologies that have been applied to address this challenge and the advantages & limitations of each. The methods include soft linking between integrated energy systems models and power systems models and improving the temporal and technical representation of power systems within integrated energy systems models. Each methodology covered approaches the integration of short term variations and assesses the flexibility of the system differently. The strengths, limitations, and applicability of these different methodologies are analysed. This review allows users of integrated energy systems models to select a methodology (or combination of methodologies) to suit their needs. In addition, the analysis identifies remaining gaps and shortcomings.

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“…To aid the transition pathway and develop strategies that achieve a high penetration of renewable energy sources, modelling tools can provide a method to assess the technical and economic impacts of investing in such technologies [29]. Such models have been developed since the second half of the 20th century for aiding long-term strategic planning [30], however including renewable energy sources presents a more complex problem due to the variability and spatial distribution [31].…”

Section: Model Overviewmentioning

confidence: 99%

Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach

et al. 2017

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Abstract:The key market drivers for marine energy are to reduce carbon emissions, and improve the security and sustainability of supply. There are other technologies that also meet these requirements, and therefore the marine energy market is dependent on the technology being cost effective, and competitive. The potential UK wave and tidal stream energy market is assessed using ETI's energy systems modelling environment (ESME) which uses a multi-vector approach including energy generation, demand, heat, transport, and infrastructure. This is used to identify scenarios where wave and tidal energy form part of the least-cost energy system for the UK by 2050, and will assess what Levelised Cost of Energy (LCOE) reductions are required to improve the commercialization rate. The results indicate that an installed capacity of 4.9 GW of wave and 2.5 GW of tidal stream could be deployed by 2050 if the LCOE is within 4.5 and 7 p/kWh for each respective technology. If there is a step reduction to the LCOE of wave energy, however, a similar capacity of 5 GW could be deployed by 2050 at a LCOE of 11 p/kWh.

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High-resolution modeling framework for planning electricity systems with high penetration of renewables

Cited by 155 publications

References 25 publications

Accounting for flexibility in power system planning with renewables

Accounting for flexibility in power system planning with renewables

Integrating short term variations of the power system into integrated energy system models: A methodological review

Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach

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