Real Measure of a Transmission Line Data with Load Fore-cast Model for The Future

Year 2018, Volume: 6 Issue: 2, 141 - 145, 30.04.2018

Musa Yılmaz

https://doi.org/10.17694/bajece.419646

Cited By: 9

Abstract

In this study, an electric transmission line
taken hourly data of feeders, belonging to the 1990-2017 year in Turkey by
using actual consumption value, load forecasting analysis was done for the
future. Short-medium-long term forecast range that results in hourly resolution,
presented a mathematical approach to versatile applications. A statistical
prediction tool that is called Exponentially Weighted Moving Average (EWMA) is
used to predict the next year's demand for transmission in Turkey. In addition
to this method, the estimated value of load factors near future, within a few
years also has been shown to successfully predict the hour as possible. To load
demand will increase in the future, it was presented solutions to be taking
precautions.

Keywords

Power grids, microgrids, power transmission, power system management, smart grids

References

• Trudnowski, Dan J., Warren L. McReynolds, and Jeffery M. Johnson. "Real-time very short-term load prediction for power-system automatic generation control." IEEE Transactions on Control Systems Technology 9.2 (2001): 254-260.
• Ahmadi, A., Gandoman, F. H., Khaki, B., Sharaf, A. M., & Pou, J. (2016). Comprehensive review of gate-controlled series ca-pacitor and applications in electrical systems. IET Generation, Transmission & Distribution, 11(5), 1085-1093.
• Asker, M. E., Ozer, A. B., & Kurum, H. (2016). Reduction of EMI with chaotic space vector modulation in direct torque con-trol. Elektronika ir Elektrotechnika, 22(1), 8-13.
• Bayindir, R., Irmak, E., Colak, I., & Bektas, A. (2011). Develop-ment of a real time energy monitoring platform. International Journal of Electrical Power & Energy Systems, 33(1), 137-146.
• Colak, I., Bayindir, R., Fulli, G., Tekin, I., Demirtas, K., & Covrig, C. F. (2014). Smart grid opportunities and applications in Turkey. Renewable and Sustainable Energy Reviews, 33, 344-352.
• Colak, I., Kabalci, E., & Bayindir, R. (2011). Review of multilevel voltage source inverter topologies and control schemes. En-ergy Conversion and Management, 52(2), 1114-1128.
• Colak, I., Kabalci, E., & Bayindir, R. (2011). Review of multilevel voltage source inverter topologies and control schemes. En-ergy Conversion and Management, 52(2), 1114-1128.
• Efe, S. B. (2016). Power Flow Analysis of A Distribution System Under Fault Conditions. International Journal of Energy and Smart Grid, 1(1), 22-27.
• Fotouhi Ghazvini, M. A., Soares, J., Morais, H., Castro, R., & Vale, Z. (2017). Dynamic Pricing for Demand Response Considering Market Price Uncertainty. Energies, 10(9), 1245.
• Lezama, F., Castañón, G., & Sarmiento, A. M. (2013). Routing and wavelength assignment in all optical networks using dif-ferential evolution optimization. Photonic Network Communi-cations, 26(2-3), 103-119.
• Nazarloo, Amin, et al. "Improving Voltage Profile and Optimal Scheduling of Vehicle to Grid Energy based on a New Method." Advances in Electrical And Computer Engineering 18.1 (2018): 81-88.
• Kaur, Sandeep, and Ganesh Balu Kumbhar. "Incentive driven distributed generation planning with renewable energy resources." Advances in Electrical and Computer Engineering 14.4 (2014): 21-28.
• Chanhom, Peerapon, Surasak Nuilers, and Natchpong Hatti. "A new V2G control strategy for load factor improvement using smoothing technique." Advances in Electrical and Computer Engineering 17.3 (2017): 43-51.
• Nazaripouya, H., Chu, C. C., Pota, H. R., & Gadh, R. (2017). Battery Energy Storage System Control for Intermittency Smoothing Using Optimized Two-Stage Filter. IEEE Transactions on Sustainable Energy.
• Nazaripouya, H., Wang, Y., Chu, P., Pota, H. R., & Gadh, R. (2015, July). Optimal sizing and placement of battery energy storage in distribution system based on solar size for voltage regulation. In Power & Energy Society General Meeting, 2015 IEEE (pp. 1-5). IEEE.
• Emiroglu, Selcuk, Yilmaz Uyaroglu, and Gulcihan Ozdemir. "Distributed Reactive Power Control based Conservation Voltage Reduction in Active Distribution Systems." ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING 17.4 (2017): 99-106.
• Reyes-Archundia, Enrique, et al. "Fault detection and localization in transmission lines with a static synchronous series compensator." Advances in Electrical and Computer Engineering 15.3 (2015): 17-22.
• Pinto, T., Sousa, T. M., Praça, I., Vale, Z., & Morais, H. (2016). Support Vector Machines for decision support in electricity markets׳ strategic bidding. Neurocomputing, 172, 438-445.
• Soares, J., Canizes, B., Ghazvini, M. A. F., Vale, Z., & Venayaga-moorthy, G. K. (2017). Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids. IEEE Transactions on Industry Ap-plications, 53(6), 5905-5914.
• Sousa, T., Morais, H., Vale, Z., Faria, P., & Soares, J. (2012). Intel-ligent energy resource management considering vehicle-to-grid: A simulated annealing approach. IEEE Transactions on Smart Grid, 3(1), 535-542.
• Wang, Y., Shi, W., Wang, B., Chu, C. C., & Gadh, R. (2017). Op-timal operation of stationary and mobile batteries in distribu-tion grids. Applied Energy, 190, 1289-1301.
• Wang, Y., Wang, B., Chu, C. C., Pota, H., & Gadh, R. (2016). Energy management for a commercial building microgrid with stationary and mobile battery storage. Energy and Buildings, 116, 141-150.
• Yilmaz, M. (2017, March). The Prediction of Electrical Vehicles' Growth Rate and Management of Electrical Energy Demand in Turkey. In Green Technologies Conference (GreenTech), 2017 Ninth Annual IEEE (pp. 118-123). IEEE.