123 research outputs found
Potential impact of load curtailment on the day-ahead Iberian market : a preliminary analysis
ABSTRACT: Demand response (DR) in electricity markets may offer a variety of financial and operational benefits. Typically, customers respond to DR events by adopting curtailment and shifting strategies. This article focuses on the former strategy and assumes that consumers are encouraged to avoid consuming electricity during specific hours of a 24 h day, because the energy price is above a given threshold. It presents a study on the Iberian market, conducted with the help of an agent-based simulation tool, called MATREM. The results are very favorable to the adoption of the load curtailment strategy (as a consequence of the enrollment in different DR programs).info:eu-repo/semantics/publishedVersio
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Quantifying the increasing sensitivity of power systems to climate variability
Large quantities of weather-dependent renewable energy generation are expected in power systems under climate change mitigation policies, yet little attention has been given to the impact of long term climate variability. By combining state-ofthe-art multi-decadal meteorological records with a parsimonious representation of a power system, this study characterises the impact of year-to-year climate variability on multiple aspects of the power system of Great Britain (including coal, gas and
nuclear generation), demonstrating why multi-decadal approaches are necessary. All aspects of the example system are impacted by inter-annual climate variability, with the impacts being most pronounced for baseload generation. The impacts of inter-annual climate variability increase in a 2025 wind-power scenario, with a 4-fold increase in
the inter-annual range of operating hours for baseload such as nuclear. The impacts on peak load and peaking-plant are comparably small. Less than 10 years of power supply and demand data are shown to be insuffcient for providing robust power system planning guidance. This suggests renewable integration studies - widely used in policy, investment and system design - should adopt a more robust approach to climate characterisation
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THE ELASTICITY OF APPLIANCE DEMAND FOR ENERGY WITH RESPECT TO EFFICIENCY.
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Analysis of the California WEPEX Applications to FERC
The major theme of this report is that the Western Power Exchange (WEPEX) Applications prevent the Independent System Operator (ISO) from clearing the market, and that this is the root of the most important problems. The proposed rules at fault (1) prevent the Power Exchange (PX) and other Scheduling Coordinators from passing on all of their bids to the ISO, and (2) prevent the ISO from dispatching beyond the point at which congestion is eliminated. Although it is generally accepted that these restrictions prevent the ISO from achieving the least-cost dispatch, many other consequences of this market-clearing failure have not been widely recognized. These include sub-optimal dispatches by the PX when the system is uncongested, congestion charges that reward power flow in the congested direction, and incentives for Scheduling Coordinators to ignore known intra-zone congestion. But the most pernicious effect of failing to clear the market may be decreased system reliability. Four minor themes will also be considered but in less detail. Most importantly the author describes several examples of unequal treatment for the PX. Second, he discusses the ambiguities introduced by zonal pricing. WEPEX`s zonal system is based on a view of congestion that largely ignores loop flow and consequently has not been well defined. Third, WEPEX appears to have invented a new definition of the transmission congestion contract (TCC) that is based on actual instead of pre-specified flows. The author shows that this ruins the incentive properties of TCCs, but that this problem is partially rectified by the market in TCCs. Lastly, he discusses losses. The WEPEX proposal intentionally avoids marginal-cost pricing of losses. What has not been recognized is that it significantly increases use of the power grid. Because this effect is greatest during peak usage, it will necessitate costly grid expansion
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