Impact of market-coupling on electricity price modeling in fundamental unit-commitment approaches

Nobis, Moritz; Wyrwoll, Lothar; Moser, Albert; Raths, Stephan

doi:10.1109/energycon48941.2020.9236434

Cited by 5 publications

(2 citation statements)

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“…Nonetheless, ISOs are faced with some problems to clear electrical energy and reserve day ahead market due to stochastic actions of RERs and electrical demand. For instance, Nobis et al [6] model the generations of thermal power plants in the energy market using an efficient single-stage approach. The efficacy of this approach is more than multi-stage approaches which are not converged to find accurate prices.…”

Section: Literature Reviewmentioning

confidence: 99%

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Robust scheduling of power system considering social costs and environmental concerns

2023

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One of the most significant problems of the modern electricity markets is to deal with renewable energy resources (RERs) scheduling. The RER generations face severe stochastic behaviour, such that short‐term scheduling of them is also complicated. To overcome this drawback, using hydro pumped storage units (HPSUs) as a fast response and eco‐friendly technology can help to smooth fluctuations of these types of generations and consequently to appropriately dispatch all generations in the energy and reserve market. This article suggests a stochastic optimisation model to optimally operate thermal power plants as well as HPSUs in the day ahead energy and reserve market. Optimisation aims to minimise operation costs, emissions, and social costs subject to several technical constraints. There is an intrinsic deviation between predicted and actual uncertainty variables in the power system. This article presents a stochastic optimal operation model based on robust optimisation. To improve the flexibility of the proposed market, the curtailed demand as a demand response programme (DRP) is taken into consideration. The CPLEX solver of the GAMS software is used to solve the proposed model which has been formulated as a robust mixed integer linear problem (RMILP). The effectiveness of the proposed model is evaluated by applying the offered model to the 9‐bus test power system.

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Section: Literature Reviewmentioning

confidence: 99%

“…For instance, Nobis et al. [6] model the generations of thermal power plants in the energy market using an efficient single‐stage approach. The efficacy of this approach is more than multi‐stage approaches which are not converged to find accurate prices.…”

Section: Introductionmentioning

confidence: 99%

Robust scheduling of power system considering social costs and environmental concerns

2023

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Modeling the transition of the multimodal pan-European energy system including an integrated analysis of electricity and gas transport

Yueksel-Erguen,

Most,

Wyrwoll

et al. 2023

Energy Syst

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Most recently, the European energy system has undergone a fundamental transformation to meet decarbonization targets without compromising the security of the energy supply. The transition involves several energy-generating and consuming sectors emphasizing sector coupling. The increase in the share of renewable energy sources has revealed the need for flexibility in supporting the electricity grid to cope with the resulting high degree of uncertainty. The new technologies accompanying the energy system transition and the recent political crisis in Europe threatening the security of the energy supply have invalidated the experience from the past by drastically changing the conventional scenarios. Hence, supporting strategic planning tools with detailed operational energy network models with appropriate mathematical precision has become more important than ever to understand the impacts of these disruptive changes. In this paper, we propose a workflow to investigate optimal energy transition pathways considering sector coupling. This workflow involves an integrated operational analysis of the electricity market, its transmission grid, and the gas grid in high spatio-temporal resolution. Thus, the workflow enables decision-makers to evaluate the reliability of high-level models even in case of disruptive events. We demonstrate the capabilities of the proposed workflow using results from a pan-European case study. The case study, spanning 2020–2050, illustrates that feasible potential pathways to carbon neutrality are heavily influenced by political and technological constraints. Through integrated operational analysis, we identify scenarios where strategic decisions become costly or infeasible given the existing electricity and gas networks.

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Price convergence in an integrated simulation of the electricity and the gas market

Guntermann,

Tebbenjohanns,

Moser

2023

2023 19th International Conference on the European Energy Market (EEM)

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Impact of market-coupling on electricity price modeling in fundamental unit-commitment approaches

Cited by 5 publications

References 1 publication

Robust scheduling of power system considering social costs and environmental concerns

Robust scheduling of power system considering social costs and environmental concerns

Modeling the transition of the multimodal pan-European energy system including an integrated analysis of electricity and gas transport

Price convergence in an integrated simulation of the electricity and the gas market

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