Monitoring, Control and Energy Management of Smart Grid System via WSN Technology Through SCADA Applications
- 3 Downloads
For robust monitoring, control and proper energy management of renewable energy sources (RES), wireless sensing networks (WSNs) are proved to be a vital solution. Since the power system is stepping towards the smart grid system and the use of WSNs provides numerous advantages in terms of economical, reliable and safer transmission of controlling and monitoring signals, with their low cost and easy deployment. This research proposes a new architecture for efficient monitoring, control and proper energy management of smart grid system. The architecture is evolved by taking into account the SCADA system in-conjunction with WSNs as sensor nodes. The data transmission is done though wireless link based on IEEE 802.15.4 security protocol. The WSNs are arranged in multi-hop mesh network for efficient data transmission between sensor and coordinating nodes. A new economical model based on Wireless Switch-yard System is used for integrating RES. Three different scenarios are considered, i.e., with RES, without RES and with both, RES and main grid supply for proper energy management and control strategy. A total of 10.5 kW is connected as smart home load to smart grid system. The State of Charge of battery storage system varies for maintaining the constant DC link voltage at 100 V. The efficacy of proposed model is verified through laboratory setup on Power Hardware-In-Loop system.
KeywordsMonitoring and control Energy management Wireless sensing network (WSN) Renewable energy sources (RES) Smart grid station Power Hard-In Loop (PHIL) Smart home load
Authors are very much thankful to Sukkur IBA University for providing peaceful environment for conducting this research work. Additionally first author is very much grateful to Prof. Nisar Ahmed Siddiqui, Vice Chancellor Sukkur IBA University for always motivating and appreciating the research work conducted.
- 4.Lobo, F., Cabello, A., Lopez, A., Mora, D., & Mora, R. (2008). Distribution network as communication system. In Proc. smart grids distrib., CIRED semin (pp. 1–4). Frankfurt, Germany.Google Scholar
- 6.Parikh, P., Kanabar, M., & Sidhu, T. (2010). Opportunities and challenges of wireless communication technologies for smart grid applications. In Proc. CCECS power energy soc. gen. meeting (pp. 1–7.14).Google Scholar
- 7.Yerra, R. V. P., Bharathi, A. K., Rajalakshmi, P., & Desai, U. B. (2011). WSN based power monitoring in smart grids. In Proceeding IEEE Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 401–406). IEEE.Google Scholar
- 9.Batista, N. C., Melicio, R., Matias, J. C. O., & Catalao, J. P. S. (2013). Photovoltaic and wind energy systems monitoring and building/home energy management using ZigBee devices within a smart grid. Energy-Elsevier, 49, 306–315.Google Scholar
- 13.Pereira P., Gonçalves, J., Grilo, A., Fortunato, C., Nunes, M. S., & Casaca, A. (2011). Energy and quality of service management in wireless multimedia sensor networks. In 11a Conferência sobre Redes de Computadores (CRC’2011) (pp. 87–94). ISBN: 978-989-96001-6-4. Coimbra, Portugal, 17–18 November.Google Scholar
- 15.Draves, R., Padhye, J., & Zill, B. (2004). Routing in multi-radio, multi-hop wireless mesh networks. MobiCom’04, Sept. 26-Oct. 1, 2004, Philadelphia, Pennsylvania, USA. Copyright 2004 ACM 1- 58113-868-7/04/0009.Google Scholar
- 16.Capone, A., Coletti, L., & Zambardi, M. (2005). QoS routing in multi-hop wireless networks: A new model and algorithm. Quality of service in multiservice IP networks, third international workshop, QoSIP, Catania, Italy, February 2–4, 2005, https://doi.org/10.1007/978-3-540-30573-6_42. Source: DBLP.
- 17.Hossen, M. S., Sultanul Kabir, A. F. M., Khan, R. H., & Azfar, A. (2010). Interconnection between 802.15.4 devices and IPv6: Implications and existing approaches. IJCSI. International Journal of Computer Science Issues, 7(1), 19–31.Google Scholar
- 19.Sapienza, G. Scrosati, G., & Zaninelli, D. (2010). Real time simulation of smart grids for interface protection test and analysis. In Proc. int. conf. harmon. quality power (pp. 1–6).Google Scholar
- 20.Werner, S., Masing, L., Lesniak, F., & Becker, J. Software-in-the-loop simulation of embedded control applications based on virtual platforms. In 25th international conference on field programmable logic applications (pp. 1–8), London, England, September 2015.Google Scholar
- 22.Abourda, S., Belanger, J., & Dufour, C. (2005). Real-time HIL simulation of a complete PMSM drive at 10 μs time step. In Proc. IEEE Eur. conf. power electron. appl (pp. P-3–P-9).Google Scholar
- 25.Janczak, J. J. (2007). Implementation of a hardware-in-the-loop system using scale model hardware for hybrid electric vehicle development. Master of Science: Mechanical Engineering Virginia Polytechnic Institute and State University Blacksburg, Virginia.Google Scholar
- 26.Wu, J., Cheng, Y., Srivastava, A. K., & Ginn, H. L. (2006). Hardware in the loop test for power system modeling and simulation. In Power systems conference and exposition, 2006. PSCE ‘06. 2006 IEEE PES. https://doi.org/10.1109/psce.2006.296201.
- 30.Mita, H. (2017) Simplified model of a small scale micro-grid. Power Systems, MathWorks.Google Scholar