Blar i Publikasjoner fra CRIStin på tidsskrift "Electric power systems research"
Viser treff 1-13 av 13
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Accounting for uncertainties due to high-impact low-probability events in power system development
(Peer reviewed; Journal article, 2021)In the long-term development of the electric power system, system operators should consider the socio-economic balance between grid investment costs and security of supply, including the risk of power supply interruptions. ... -
An overview on formulations and optimization methods for the unit-based short-term hydro scheduling problem
(Journal article; Peer reviewed, 2019)The short-term hydro scheduling (STHS) problem aims at determining the optimal power generation schedules for either a single hydropower plant or an integrated system of cascaded watercourses during a time horizon from a ... -
Applying successive linear programming for stochastic short-term hydropower optimization
(Journal article; Peer reviewed, 2016)We present a model for operational stochastic short-term hydropower scheduling, taking into account the uncertainty in future prices and inflow, and illustrate how the benefits of using a stochastic rather than a deterministic ... -
Comprehensive classifications and characterizations of power system flexibility resources
(Peer reviewed; Journal article, 2021)Due to the increasing integration of renewable forms of generation, ageing network infrastructure, and rapid increase in peak load demand, flexibility is becoming economically more viable and hence significant role player ... -
Estimation of investment model cost parameters for VSC HVDC transmission infrastructure
(Journal article; Peer reviewed, 2018)Investment model cost parameters for VSC HVDC transmission infrastructure continue to be associated with high uncertainty and their validity remains a crucial challenge. Thus, it is the key objective of this analysis to ... -
Hydrothermal scheduling in the continuous-time framework
(Peer reviewed; Journal article, 2020)Continuous-time optimization models have successfully been used to capture the impact of ramping limitations in power systems. In this paper, the continuous-time framework is adapted to model flexible hydropower resources ... -
The impact of flexible resources in distribution systems on the security of electricity supply: A literature review
(Peer reviewed; Journal article, 2020)The power system is transitioning from the traditional one-way system to a more integrated and complex system with more active end-users and with generation and reverse power flow at the distribution level. As a part of ... -
Measurement-based frequency-dependent model of a HVDC transformer for electromagnetic transient studies
(Peer reviewed; Journal article, 2020)A wide-band, frequency-dependent five-terminal model is developed that represents one HVDC transformer unit in the French-English IFA2000 HVDC interconnection. Three such interconnected 1-ph units constitute one 3-ph ... -
Medium-term scheduling of a hydropower plant participating as a price-maker in the automatic frequency restoration reserve market
(Peer reviewed; Journal article, 2020) -
Passivity assessment and enforcement utilizing eigenpairs information
(Peer reviewed; Journal article, 2021)Rational models can be a cause of unstable time domain simulations if they are non-passive. One commonly applied method for ensuring model passivity is to combine a passivity assessment step with a passivity enforcement ... -
Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage
(Peer reviewed; Journal article, 2021)This paper studies the electricity price formation in a competitive market when introducing generation from variable renewable energy technologies with zero marginal cost and electric energy storage systems. A power system ... -
Review of investment model cost parameters for VSC HVDC transmission infrastructure
(Journal article; Peer reviewed, 2017)Cost parameters for VSC HVDC transmission infrastructure have been gathered from an extensive collection of techno-economic sources. These cost parameter sets have been converted to a common format, based on a linear ... -
Stochastic variational inference for probabilistic optimal power flows
(Peer reviewed; Journal article, 2021)This paper applies a generative deep learning model, namely a Variational Autoencoder, on probabilistic optimal power flows. The model utilizes Gaussian approximations in order to adequately represent the distributions of ...