“…Market participants are only incentivized to integrate new flexible resources when the investment is profitable. Although electricity storage plants can be used for many applications (e.g., arbitrage, portfolio optimization, frequency control, voltage support, black-start service [4,5]) and maximizing the value of storage requires the aggregation of different applications, one of the most studied and well-known applications is arbitraging day-ahead (DA) market electricity prices [6,7]. This article focuses on the arbitrage application as the sole revenue source.…”
Section: Motivationmentioning
confidence: 99%
“…The storage operator is thus assumed to decide upon the charge power p c h and discharge p d h power based on short-term DA price differences throughout the day, and is assumed to have a perfect knowledge of these prices for the upcoming optimization period. 4 An electricity storage plant can typically be characterized by the minimum and maximum charge power rating P c,min and P c,max , discharge power rating P d,min and P d,max , and energy storage capacity E min and E max , the charge and discharge efficiency η c and η d , and the down-and upward ramp rate in charge mode R c,do and R c,up and in discharge mode R d,do and R d,up . In addition, storage plants have a limited lifetime, which is either determined by the calendar life N cal in case of infrequent use or by the cycle-life N cyc in case of frequent use [49].…”
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Electricity storage plants can be used for many applications, with one of the most studied applications being arbitrage in the day-ahead market.
Terms of use:
Documents inAlthough the arbitrage value is related to the presence of price spreads, it also depends on the effect of (dis)charge actions on prices, as arbitrage generally reduces price spreads by increasing off-peak prices when charging and decreasing peak prices when discharging. As such, there are two important assumptions in price-based unit commitment arbitrage models: first, whether the storage operator is assumed to have perfect knowledge of future prices, and second, whether they recognize that their (dis)charge actions may affect those prices, i.e., the price-taking or pricemaking assumption. This article proposes a comprehensive formulation of the arbitrage problem including detailed operating constraints, and focuses on relaxing the price-taking assumption by considering real-world price-effect data, published in the form of hourly piecewise linear relationships between quantity and price based on submitted bids, which are referred to as "market resilience functions". These can be used to (1) evaluate the price-taking and price-making assumptions based on simplified price-effects, and to (2) provide an upper limit to the arbitrage value under the assumption that prices and price-effects are known at the decision stage. In addition, a stepwise approximation to the piecewise linear functions is developed to reduce computation time, i.e., from mixed-integer nonconvex quadratic programming to mixed-integer linear programming, while providing lower-and upper bound approximations to the arbitrage value. The developed models are applied to the Belgian day-ahead market for 2014, and show that the price-effect has a strong impact on the operation and arbitrage value of large-scale storage.
“…Market participants are only incentivized to integrate new flexible resources when the investment is profitable. Although electricity storage plants can be used for many applications (e.g., arbitrage, portfolio optimization, frequency control, voltage support, black-start service [4,5]) and maximizing the value of storage requires the aggregation of different applications, one of the most studied and well-known applications is arbitraging day-ahead (DA) market electricity prices [6,7]. This article focuses on the arbitrage application as the sole revenue source.…”
Section: Motivationmentioning
confidence: 99%
“…The storage operator is thus assumed to decide upon the charge power p c h and discharge p d h power based on short-term DA price differences throughout the day, and is assumed to have a perfect knowledge of these prices for the upcoming optimization period. 4 An electricity storage plant can typically be characterized by the minimum and maximum charge power rating P c,min and P c,max , discharge power rating P d,min and P d,max , and energy storage capacity E min and E max , the charge and discharge efficiency η c and η d , and the down-and upward ramp rate in charge mode R c,do and R c,up and in discharge mode R d,do and R d,up . In addition, storage plants have a limited lifetime, which is either determined by the calendar life N cal in case of infrequent use or by the cycle-life N cyc in case of frequent use [49].…”
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Electricity storage plants can be used for many applications, with one of the most studied applications being arbitrage in the day-ahead market.
Terms of use:
Documents inAlthough the arbitrage value is related to the presence of price spreads, it also depends on the effect of (dis)charge actions on prices, as arbitrage generally reduces price spreads by increasing off-peak prices when charging and decreasing peak prices when discharging. As such, there are two important assumptions in price-based unit commitment arbitrage models: first, whether the storage operator is assumed to have perfect knowledge of future prices, and second, whether they recognize that their (dis)charge actions may affect those prices, i.e., the price-taking or pricemaking assumption. This article proposes a comprehensive formulation of the arbitrage problem including detailed operating constraints, and focuses on relaxing the price-taking assumption by considering real-world price-effect data, published in the form of hourly piecewise linear relationships between quantity and price based on submitted bids, which are referred to as "market resilience functions". These can be used to (1) evaluate the price-taking and price-making assumptions based on simplified price-effects, and to (2) provide an upper limit to the arbitrage value under the assumption that prices and price-effects are known at the decision stage. In addition, a stepwise approximation to the piecewise linear functions is developed to reduce computation time, i.e., from mixed-integer nonconvex quadratic programming to mixed-integer linear programming, while providing lower-and upper bound approximations to the arbitrage value. The developed models are applied to the Belgian day-ahead market for 2014, and show that the price-effect has a strong impact on the operation and arbitrage value of large-scale storage.
“…However, many studies look into the full CO 2 capture (90 %) via CCS for fossil-fuel-fired power plants rather than partial carbon capture; the feasibility of highly aggressive penetration (50-80 % of the fleet) of renewable energy in the future generation fleet needs further technical and economic assessments. Grid-scale energy storage holds the potential to facilitate high penetration of intermittent renewable energy resources into the electric power grid, manage peak demand, and support grid stability [29]. Although pumpedstorage hydroelectricity is the major form of current energy storage for electric power systems [30], battery systems would offer a number of opportunities for grid-scale energy storage, given that lower costs can potentially be obtained [31].…”
Section: Water Impacts Of Low-carbon Electricity Generationmentioning
Water is an integral element of energy production. Future US energy production will increasingly be driven by the need to mitigate climate change, posing complex water challenges. The water impacts of electricity generation in a carbon-constrained future have been a subject of active research. This paper reviews technologies and regulatory policy options for low-carbon electricity generation, including systems that use fossil fuels with carbon capture and storage, renewables such as wind, solar, and biomass, and nuclear energy. We also review cooling technologies in support of thermoelectric power generation, report and discuss current assessment methods and results on water use for low-carbon energy production, and identify adaptive approaches that could reinforce resilience for low-carbon electricity generation. Some recommendations are made for future research.
“…Grid-scale energy storage is widely believed to have the potential to provide more flexibility which led to research investigation on both the technical and economic issues surrounding energy storage system (ESS) applications [15][16][17][18][19][20][21]. In most of these applications, the matter of inertia and different control methodologies for providing inertia is missing.…”
Abstract:Due to increasing level of power converter-based component and consequently the lack of inertia, automatic generation control (AGC) of interconnected systems is experiencing different challenges. To cope with this challenging issue, a derivative control-based virtual inertia for simulating the dynamic effects of inertia emulations by HVDC (highvoltage direct current) interconnected systems is introduced and reflected in the multi-area AGC system. Derivative control technique is used for higher level applications of inertia emulation. The virtual inertia will add an additional degree of freedom to the system dynamics which makes a considerable improvement on first overshoot responses in addition to damping characteristics of HVDC links. Complete trajectory sensitivities are used to analyse the effects of virtual inertia and derivative control gains on the system stability. The effectiveness of the proposed concept on dynamic improvements is tested through Matlab simulation of two-area test system for different contingencies.
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