Abstract
The success of a design of an effective premises area network requires appropriate algorithm and communication strategy. The primary objective of this paper is to present an effective algorithm for low cost process and monitoring system integrated with energy management of a solar-powered home system. The proposed algorithm designed to serve a system of a low power consumption and recognized by a lower number of electronic components, the system includes only a pair of XBee RF modules to process signals of current, voltage and temperature sensors and to monitor the power consumption data rate variations. The proposed control algorithm able to manage the Xbee on-board micro-controller with the associated sensors to act as a remote integrated wireless sensor node. The processed information sent to base node attached to PC for monitoring the attained data and displaying over an appropriate GUI. The approach suits the XBee RF environment, but, based on a direct sensor link concept, can open horizon to other wireless sensor networking applications such as WiFi. The results have been validated by a real case study conducted in solar powered home appliances in the DC - environment system. A (11–123) Hz sampling frequency has been achieved to capture the possible surge power. This work serves as an essential stepping stone towards more efficient wireless circuit design for the smart home energy system.
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References
Sabry, A.H., Wan Hasan Mohd Zainal, W.Z., Amran, M., Shafie, S.B.: High efficiency integrated solar home automation system based on DC load matching technique. ARPN J. Eng. Appl. Sci. 10(15), 6424–6434 (2015)
Bradac, Z., Kaczmarczyk, V., Fiedler, P.: Optimal scheduling of domestic appliances via MILP. Energies 8(1), 217–232 (2015)
Ahmed, M.A., Kang, Y.C., Kim, Y.: Communication network architectures for smart-house with renewable energy resources. Energies 8, 8716–8735 (2015)
Pascual, J., Sanchis, P., Marroyo, L.: Implementation and control of a residential electrothermal microgrid based on renewable energies, a hybrid storage system and demand side management. Energies 7(1), 210–237 (2014)
Collotta, M., Pau, G.: A novel energy management approach for smart homes using bluetooth low energy. IEEE J. Sel. Areas Commun. 33(12), 2988–2996 (2015)
Han, D.-M., Lim, J.-H.: Design and implementation of smart home energy management systems based on zigbee. IEEE Trans. Consum. Electron. 56(3), 1417–1425 (2010)
Subbiah, R., Pal, A., Nordberg, E.K., Marathe, A., Marathe, M.V.: Energy demand model for residential sector: a first principles approach. IEEE Trans. Sustain. Energy 8(3), 1–19 (2017)
Samadi, P., Mohsenian-Rad, A.-H., Schober, R., Wong, V.W.S., Jatskevich, J.: Optimal real-time pricing algorithm based on utility maximization for smart grid. In: 2010 First IEEE International Conference on Smart Grid Communications, pp. 415–420 (2010)
Chen, C., Kishore, S., Snyder, L.V.: An innovative RTP-based residential power scheduling scheme for smart grids. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5956–5959 (2011)
Kaufmann, S., Künzel, K., Loock, M.: Customer value of smart metering: explorative evidence from a choice-based conjoint study in Switzerland. Energy Policy 53, 229–239 (2013)
Celebi, E., Fuller, J.D.: A model for efficient consumer pricing schemes in electricity markets. IEEE Trans. Power Syst. 22(1), 60–67 (2007)
Yang, P., Tang, G., Nehorai, A.: Optimal time-of-use electricity pricing using game theory. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 3081–3084 (2012)
Saha, A., Kuzlu, M., Khamphanchai, W., Pipattanasomporn, M., Rahman, S., Elma, O., Selamogullari, U.S., Uzunoglu, M., Yagcitekin, B.: A home energy management algorithm in a smart house integrated with renewable energy. In: IEEE PES Innovative Smart Grid Technologies Conference Europe. vol. 2015, no. January (2015)
Chavali, P., Yang, P., Nehorai, A.: A distributed algorithm of appliance scheduling for home energy management system. IEEE Trans. Smart Grid 5(1), 282–290 (2014)
Pipattanasomporn, M., Kuzlu, M., Rahman, S.: An algorithm for intelligent home energy management and demand response analysis. IEEE Trans. Smart Grid 3(4), 2166–2173 (2012)
Barbato, A., Capone, A., Carello, G., Delfanti, M., Falabretti, D., Merlo, M.: A framework for home energy management and its experimental validation. Energy Effic. 7(6), 1013–1052 (2014)
Sabry, A.H., Wan Hasan, W.Z., Zainal, M., Amran, M., Shafie, S.B.: Alternative solar-battery charge controller to improve system efficiency. Appl. Mech. Mater. 785(February 2016), 156–161 (2015)
Sabry, A.H., Wan Hasan, W.Z., Zainal, M., Amran, M., Shafie, S.B.: DC loads matching technique as an alternative to ac inverter in residential solar system application evaluation and comparison. Appl. Mech. Mater. 785, 225–230 (2015)
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Sabry, A.H., Hasan, W.Z.W., Kadir, M.A., Radzi, M.A.M., Shafie, S. (2017). Processing and Monitoring Algorithm for Solar-Powered Smart Home in DC-Environment System Based on RF-Radio Node. In: Phon-Amnuaisuk, S., Ang, SP., Lee, SY. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2017. Lecture Notes in Computer Science(), vol 10607. Springer, Cham. https://doi.org/10.1007/978-3-319-69456-6_25
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DOI: https://doi.org/10.1007/978-3-319-69456-6_25
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