Measurement and Analysis of the Dynamic Load Modeling for Smart Grid Environment
Mohammad Kamrul Hasan1, Musse Mohamud Ahmed2, Noor Farhana Shamilawani3
1Mohammad Kamrul Hasan*, Network and Communication Technology, Research Center for Cyber Security, Faculty of Information Science and Technology, National University Malaysia (UKM), UKM, Bangi, Selangor. And, Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia.
2Musse Mohamud Ahmed, Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia, Kota Samarahan. Sarawak, Malaysia.
3Noor Farhana Shamilawani, Department of Electrical and Electronics Engineering, Faculty of Engineering, Universiti Malaysia, Kota Samarahan. Sarawak, Malaysia.
Manuscript received on April 05, 2020. | Revised Manuscript received on April 25, 2020. | Manuscript published on April 30, 2020. | PP: 93-98 | Volume-9 Issue-4, April 2020. | Retrieval Number: C5229029320/2020©BEIESP | DOI: 10.35940/ijeat.C5229.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper mainly focuses the dynamic modeling to overcome the severe challenges of dynamic characteristics of loads of Smart Grid System in Kuching and Samalaju, where facility loads have significant consequences to the power system stability. Appearances of conventional types of loads, which are power-electronic, based or interfaced and it requires operating with increasing non-conventional and intermittent types of generation. These lead to an interest in dynamic modeling. In Sarawak Energy Berhad (SEB) power grid, the instability of the voltage, frequency deviations of the power system can damage the bulk load and important data as well. Dynamic modeling is a technique used to model the system to study the power system stability, including system voltage, frequency, and oscillation of the generation. This paper proposes dynamic modeling that will be done based on the data at the Kuching Bulk Load of SEB. Moreover, this study also assesses the time-domain dynamic simulation by comparing the recorded and simulated response as well as assess the parametric study using the parameter estimation method (Least Square Error). The selected model of the bulk load can be optimized by converging on the data of the Least Square Error Method in this study.
Keywords: Dynamic Load Modeling; Least Square Error Method.