707 documents found, page 1 of 71

From Day-Ahead to a 6-Hour Period-Ahead Market Adapted to the Stochastic Behavi...

ABSTRACT: The existing electricity market design challenges the fair and competitive participation of variable renewable energy sources (vRES) due to their weather dependence and limited forecasting accuracy, especially for long-time horizons, as required in the day-ahead market (DAM). These challenges impact market clearing prices and create imbalances, leading to inefficiencies, such as market-splitting event...

The Role of Demand and Vres Flexibility in Carbon-Neutral Power Systems: Insigh...

ABSTRACT: The goal of a carbon-neutral society by 2050 is speeding up the integration of variable renewable energy sources (vRES) in European power systems. For the expected levels of vRES, the adaptation of the demand will be crucial to manage the stochastic behaviour of these technologies. This work evaluates the impact of four prospective 2050 energy mix scenarios in the Iberian electricity market. All scena...

Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach f...

ABSTRACT: Typically, Transmission System Operators apply power flow models with Seasonal Line Rating prescriptions to compute the ampacity of power lines, in a process that enables to obtain the cross-border capacity for trading between different countries or market zones. These seasonal-dependent models rely on fixed conservative meteorological conditions throughout the year, underestimating the real-time tran...

Reduction of the Market Splitting Occurrences: A Dynamic Line Rating Approach f...

ABSTRACT: Typically, Transmission System Operators apply power flow models with Seasonal Line Rating prescriptions to compute the ampacity of power lines, in a process that enables to obtain the cross-border capacity for trading between different countries or market zones. These seasonal-dependent models rely on fixed conservative meteorological conditions throughout the year, underestimating the real-time tran...

Performance assessment of current and new market designs and trading mechanisms...

Joint Optimal Allocation of Electric Vehicle Charging Stations and Renewable En...

Made available in DSpace on 2022-04-28T19:44:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-09-01; In the coming years, several transformations in the transport sector are expected, associated with the increase in electric vehicles (EVs). These changes directly impact electrical distribution systems (EDSs), introducing new challenges in their planning and operation. One way to assist in the desired i...

Local Electricity Markets for Electric Vehicles: An Application Study Using a D...

Made available in DSpace on 2022-04-29T08:36:38Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-11-04; Fundação para a Ciência e a Tecnologia; Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model ...

Optimal strategy of electricity and natural gas aggregators in the energy and b...

This paper presents a stochastic two-stage model for energy aggregators (EAs) in the energy and balancing markets to supply electricity and natural gas to end-users equipped with combined heat and power (CHP) units. The suggested model takes into account the battery energy storage (BES) as a self-generating unit of EA. The upper and lower subproblems determine the optimal energy supply strategy of EA and consum...

Near real-time management of appliances, distributed generation and electric ve...

Consumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should control different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. At the same time, the home management systems should be able to interact with other actors such as energy communitie...

Evaluation Metrics to Assess the Most Suitable Energy Community End-Users to Pa...

In the energy sector, prosumers are becoming relevant entities for energy management systems since they can share energy with their citizen energy community (CEC). Thus, this paper proposes a novel methodology based on demand response (DR) participation in a CEC context, where unsupervised learning algorithms such as convolutional neural networks and k-means are used. This novel methodology can analyze future e...