2019
Authors
Razavi, SE; Rahimi, E; Javadi, MS; Nezhad, AE; Lotfi, M; Shafie khah, M; Catalao, JPS;
Publication
Renewable and Sustainable Energy Reviews
Abstract
2019
Authors
Javadi, MS; Lotfi, M; Gough, M; Nezhad, AE; Santos, SF; Catalao, JPS;
Publication
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
Abstract
2019
Authors
Sheikh, M; Aghaei, J; Rajabdorri, M; Shafie khah, M; Lotfi, M; Javadi, MS; Catalao, JPS;
Publication
Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
Abstract
Congestion in transmission lines is an important topic in power systems and it continues to be an area of active research. Various approaches have been proposed to mitigate congestion especially immediate ready ones such as Congestion Management (CM) and Transmission Switching (TS). Using either of the two or their combination (CMTS) may have undesirable consequences like increasing operational costs or increasing the number of switching of transmission lines. More switching aggravates system reliability and imposes extra costs on the operator. In this paper, a multi-objective model is introduced which reduces overall operation costs, the number of switching in transmission lines, and the congestion of lines, compared to available approaches which employ congestion management and TS simultaneously. To verify the performance of the proposed model, it is implemented using GAMS and tested on 6- and 118- bus IEEE test systems. A benders' decomposition approach was employed. © 2019 IEEE.
2019
Authors
Javadi, MS; Nezhad, AE; Anvari Moghaddam, A; Guerrero, JM; Lotfi, M; Catalao, JPS;
Publication
Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
Abstract
This paper presents an operation strategy of energy hubs in the presence of electrical, heating, and cooling demand as well as renewable power generation uncertainties. The proposed strategy can be used for optimal decision making of energy providers companies, as well as, other private participants of hub operators. The presence of electrical energy storage devise in the assumed energy hub can handle the fluctuations in the operating points raised by such uncertainties. In order to modeling of hourly demands and renewable power generation uncertainties a scenario generation model is adopted in this paper. The considered energy hub in this study follows a centralized framework and the energy hub operator is responsible for optimal operation of the hub assets based on the day-ahead scheduling. The simulation result illustrates that in the presence of electrical energy storage devices the optimal operation of hub assets can be attained. © 2019 IEEE.
2019
Authors
Javadi, MS; Firuzi, K; Rezanejad, M; Lotfi, M; Gough, M; Catalao, JPS;
Publication
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal, October 14-17, 2019
Abstract
2020
Authors
Lotfi, M; Javadi, M; Osorio, GJ; Monteiro, C; Catalao, JPS;
Publication
Energies
Abstract
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