Browsing by Keyword "Power system economics"
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Item Economic Implications of DSO-TSO Coordination Schemes at a System Level and for Market Actors in case of Flexibility or Traditional Grid-based Solution(IEEE, 2022-10) Madina, Carlos; Gonzalez-Garrido, Amaia; Gomez-Arriola, Ines; Tecnalia Research & Innovation; POWER SYSTEMSThis paper proposes a methodology to evaluate the economic implication of the use of flexibility to solve both joint DSO-TSO and local DSO-specific congestion management needs. The presented methodology enables evaluating the economic implications at a system level and per market actor according to the selected DSO-TSO coordination scheme and given flexibility needs. Firstly, several DSO-TSO coordination schemes are presented to solve joint needs, in which market access to flexible resources at the distribution grid is enabled to a greater or lesser extent. Secondly, the use of flexibility is compared to traditional grid solutions (i.e., grid reinforcement, temporary commissioning services) to enable the DSO to make cost-efficient grid decisions in the short and medium term. Finally, the economic impact on flexible service providers at the distribution level is carefully presented. This methodology seeks to support energy policies and other regulatory decisions.Item Peer-to-peer energy market between electric vehicles(Institution of Engineering and Technology, 2020-01-01) Álvaro-Hermana, Roberto; Merino, Julia; Fraile-Ardanuy, Jesús; Castanõ-Solis, Sandra; Jiménez, David; Tecnalia Research & InnovationElectric vehicles (EVs) are a major component of future electric grids, both for the increase in electricity demand and the flexibility they can add to the grid. Vehicle-to-grid and vehicle-to-building pilots have been tested and some have been approved by grid operators, but the EVs’ possibilities shall be further enhanced. In previous works, the authors proposed a peer-to-peer energy market between EVs that largely reduced the expenses of their costly day-charging. This chapter further expands the model by taking into account the long-term effects of the market, which reduce the impact of the electric grid prices forecast on the market. The ratio between EVs that offer energy and those that demand energy is shown to be a good indicator for the market price forecast. Almost all energy demand occurs in pairs zone-time in which the number of offering EVs is more than five times the number of demanding EVs, for which the market price is very close to the electricity price at night.