Browsing by Keyword "Power markets"
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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 Electric vehicles as distributed energy storage for local energy management(Institution of Engineering and Technology, 2020-01-01) Morales, Ricardo; Fraile-Ardanuy, Jesús; Gutiérrez, Álvaro; Jiménez, David; Artaloytia, Benito; Álvaro-Hermana, Roberto; Merino, Julia; Castanõ-Solis, Sandra; Tecnalia Research & InnovationEven though the Li-ion battery price has dropped significantly in recent years, this storage technology is still quite expensive and, in order to avoid overspending, this study proposes using EV’s batteries as Battery Energy Storage System. One of the main disadvantages of this scheme is that the total available battery’s capacity is variable, but it is dependent on the EV’s mobility. In this chapter, an optimization model is developed to minimize the electricity cost purchased from the utility grid by the building manager. This optimization model takes into account several parameters: the availability of the EVs parked at the parking lot (that affects the available storage capacity, which varies at each time period, as EVs come and go along the day), the total energy consumption demanded by the building, the self -PV generation and, finally, the retail energy prices. With this information, the optimization algorithm determines how the EV batteries’ charge/ discharge of all parked vehicles should be managed to minimize the cost of electricity purchased from the grid.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.