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- Consumer energy management system with integration of smart metersPublication . Pereira, Rita Marcos Fontes Murta; Figueiredo, J.; Melício, Rui; Mendes, Victor; Martins, J.; Quadrado, Jose CarlosThis paper develops an energy management system with integration of smart meters for electricity consumers in a smart grid context. The integration of two types of smart meters (SM) are developed: (i) consumer owned SM and (ii) distributor owned SM. The consumer owned SM runs over a wireless platform - ZigBee protocol and the distributor owned SM uses the wired environment - ModBus protocol. The SM are connected to a SCADA system (Supervisory Control And Data Acquisition) that supervises a network of Programmable Logic Controllers (PLC). The SCADA system/PLC network integrates different types of information coming from several technologies present in modern buildings. The developed control strategy implements a hierarchical cascade controller where inner loops are performed by local PLCs, and the outer loop is managed by a centralized SCADA system, which interacts with the entire local PLC network. In order to implement advanced controllers, a communication channel was developed to allow the communication between the SCADA system and the MATLAB software. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Fuzzy clustering applied to a demand response model in a smart grid contingency scenarioPublication . Pereira, Rita; Melício, Rui; Mendes, Victor; Figueiredo, J.; Martins, J.; Fagundes, A.; Quadrado, Jose CarlosThis paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.
- Fuzzy clustering applied to a demand response model in a smatr grid contingency scenarioPublication . Pereira, Rita; Melício, Rui; Mendes, Victor; Figueiredo, J.; Martins, J.; Fagundes, A.; Quadrado, Jose CarlosThis paper focus on a demand response model analysis in a smart grid context considering a contingency scenario. A fuzzy clustering technique is applied on the developed demand response model and an analysis is performed for the contingency scenario. Model considerations and architecture are described. The demand response developed model aims to support consumers decisions regarding their consumption needs and possible economic benefits.
- Optimal brake specific fuel consumption trajectory for stand-alone variable speed Diesel Gen-SetPublication . Luís, Ricardo; Quadrado, Jose Carlos; Silva, José FernandoEnergy efficiency plays an important role to the CO2 emissions reduction, combating climate change and improving the competitiveness of the economy. The problem presented here is related to the use of stand-alone diesel gen-sets and its high specific fuel consumptions when operates at low loads. The variable speed gen-set concept is explained as an energy-saving solution to improve this system efficiency. This paper details how an optimum fuel consumption trajectory based on experimentally Diesel engine power map is obtained.
- A fuzzy clustering approach to a demand response modelPublication . Pereira, Rita; Fagundes, A.; Melício, Rui; Mendes, Victor; J. Figueiredo; J. Martins; Quadrado, Jose CarlosThis paper proposes a novel demand response model using a fuzzy subtractive cluster approach. The model development provides support to domestic consumer decisions on controllable loads management, considering consumers' consumption needs and the appropriate load shape or rescheduling in order to achieve possible economic benefits. The model based on fuzzy subtractive clustering method considers clusters of domestic consumption covering an adequate consumption range. Analysis of different scenarios is presented considering available electric power and electric energy prices. Simulation results are presented and conclusions of the proposed demand response model are discussed. (C) 2016 Elsevier Ltd. All rights reserved.