CPES - Indexed Articles in Journals
Permanent URI for this collection
Browse
Browsing CPES - Indexed Articles in Journals by Author "4999"
Results Per Page
Sort Options
-
ItemA cluster-based optimization approach to support the participation of an aggregator of a larger number of prosumers in the day-ahead energy market( 2019) José Pedro Iria ; Filipe Joel Soares ; 5485 ; 4999
-
ItemControl Room Requirements for Voltage Control in Future Power Systems( 2018) Filipe Joel Soares ; João Peças Lopes ; Riano,S ; Merino,J ; Coelho,A ; 4999 ; 1103In future power grids, a large integration of renewable energy sources is foreseen, which will impose serious technical challenges to system operators. To mitigate some of the problems that renewable energy sources may bring, new voltage and frequency control strategies must be developed. Given the expected evolution of technologies and information systems, these new strategies will benefit from increasing system observability and resources controllability, enabling a more efficient grid operation. The ELECTRA IRP project addressed the new challenges that future power systems will face and developed new grid management and control functionalities to overcome the identified problems. This work, implemented in the framework of ELECTRA, presents an innovative functionality for the control room of the cell operator and its application in assistance with the voltage control designed for the Web-of-Cells. The voltage control method developed uses a proactive mode to calculate the set-points to be sent to the flexible resources, each minute, for a following 15-min period. This way, the voltage control method developed is able to mitigate voltage problems that may occur, while, at the same time, contributes to reduce the energy losses. To enable a straightforward utilization of this functionality, a user interface was created for system operators so they can observe the network state and control resources in a forthright manner accordingly.
-
ItemDevelopment and Field Demonstration of a Gamified Residential Demand Management Platform Compatible with Smart Meters and Building Automation Systems( 2019) Zehir,MA ; Ozdemir,A ; Kucuk,U ; Bagriyanik,M ; Filipe Joel Soares ; João Gama ; Aydin,Z ; Batman,A ; Gul,H ; Ortac,KB ; 5120 ; 4999Demand management is becoming an indispensable part of grid operation with its potential to aid supply/demand balancing, reduce peaks, mitigate congestions and improve voltage profiles in the grid. Effective deployments require a huge number of reliable participators who are aware of the flexibilities of their devices and who continuously seek to achieve savings and earnings. In such applications, smart meters can ease consumption behavior visibility, while building automation systems can enable the remote and automated control of flexible loads. Moreover, gamification techniques can be used to motivate and direct customers, evaluate their performance, and improve their awareness and knowledge in the long term. This study focuses on the design and field demonstration of a flexible device-oriented, smart meter and building automation system (BAS) compatible with a gamified load management (LM) platform for residential customers. The system is designed, based on exploratory surveys and systematic gamification approaches, to motivate the customers to reduce their peak period consumption and overall energy consumption through competing or collaborating with others, and improving upon their past performance. This paper presents the design, development and implementation stages, together with the result analysis of an eight month field demonstration in four houses with different user types in Istanbul, Turkey.
-
ItemElectric Vehicles Charging: Management and Control Strategies( 2018) Bruna Costa Tavares ; João Peças Lopes ; Coelho,AM ; Filipe Joel Soares ; David Emanuel Rua ; Clara Sofia Gouveia ; 5524 ; 5226 ; 4999 ; 1103 ; 6593In this article, we present a holistic framework for the integration of electric vehicles (EVs) in electric power systems. Their charging management and control methodologies must be optimized to minimize the negative impact of the charging process on the grid and maximize the benefits that charging controllability may bring to their owners, energy retailers, and system operators. We have assessed the performance of these methods initially through steady-state computational simulations, and then we validated them in a microgrid (MG) laboratory environment. © 2018 IEEE.
-
ItemOptimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets( 2019) Manuel Matos ; José Pedro Iria ; Filipe Joel Soares ; 5485 ; 4999 ; 214