Membership Function Optimization of Fuzzy Inference System Using Cuckoo Search Algorithm for Peak Load Forecasting in National Holiday

Andi Imran, Imam Robandi, Firdaus Firdaus, Ruslan Ruslan, Muhammad Yusuf Mappeasse, Muhammad Ruswandi Djalal

Abstract


This study aims to analysis peak load prediction of Indonesian national holidays for Jawa-Bali electricity system. Forecasting applied using the Fuzzy Logic System (FLS) method combined with the Cuckoo Search Algorithm (CSA). CSA is used to determine the optimal membership function in fuzzy logic. Cuckoo search algorithm has a very good performance in terms of optimization. This method is applied for short-term load estimates on holidays/special days on the Jawa-Bali electricity system, Indonesia. The study used data from daily peak loads during Indonesian national holidays in 2014 on the Jawa-Bali electricity system. The data analyzed is the daily peak load documentation data for 4 days before national holidays and during national holidays in 2014. Testing the simulation results, it was found that the Fuzzy Logic System - Cuckoo Search Algorithm (FLS-CSA) method gives good forecasting results, this is evidenced by using the mean absolute percentage error (MAPE). Forecasting results using the Cuckoo Search Algorithm (CSA) optimization method on fuzzy logic membership functions for peak loads on national holidays on the Java-Bali 500kV electrical system give satisfactory results with an average forecasting error of 1.511314562%.

Keywords


Load Forecasting; Fuzzy Inference System; Cuckoo Search; MAPE

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References


V. Dehalwara, A. Kalama, M. L. Kolheb, and A. Zayegh, A, "Electricity load forecasting for Urban area using weather forecast information," IEEE Int Conf on Power and Renewable Energy 2016, Shanghai, China, 21-23 Oct. 2016. pp. 355 - 359, 2016.

M. Lekshmi and K. N. A. Subramanya, "Short-Term load forecasting of 400kV grid substation using R-Tool and study of influence of ambient temperature on the forecasted load," IEEE Int Conf on Adv Comp and Comm Paradigms (ICACCP), 2019.Gangtok, India,25-28 Feb, 2019.

M. Alamaniotis, "Synergism of deep neural network and ELM for smart very-short-term load forecasting," IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) 2019. Bucharest, Romania,29 Sept.-2 Oct, 2019.

L. C. M. D. Andrade, M. Oleskovicz, A. Q. Santos, D. V. Coury, and R. A. S. Fernandes, "Very short-term load forecasting based on NARX recurrent neural networks," IEEE PES General Meeting | Conference & Exposition. National Harbor, MD, USA, 27-31 July, 2014.

G. Yan, T. Han, W. Zhang, and S. Zhao, "Short-term load forecasting of smart grid based on load spatial - temporal distribution," IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia), Chengdu, China, 21-24 May. pp. 781-785, 2019.

A. Imran, I. M. Y. Negara, and I. Robandi, "Peak load forecasting on national holiday using fuzzy-firefly algorithm at Jawa-Bali electricity system in Indonesia," Int. Journal of Civil Eng. and Tech (IJCIET), 9(6). 1001–1015, 2018.

A. Imran, I. M. Y. Negara, and I. Robandi, "Peak load forecasting on national holiday using fuzzy-cuckoo for Jawa-Bali system in Indonesia," Int Journal of Eng & Tech (IJET), 7(6). 5565–5569, 2018.

L. Jinlian, Z. Yufen, and L. Jiaxuan, "Long and medium term power load forecasting based on a combination model of GMDH, PSO and LSSVM," IEEE,2017 29th Chinese Control And Decision Conference (CCDC). Chongqing, China, 28-30 May, pp. 964-969, 2017.

W. Xue, C. Li, X. Mao, X. Li, L. Zhao, and X. Zhao, "Medium and long term load forecasting of regional power grid in the context of economic transition," 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2),.Beijing, China,20-22 Oct. 2018.

F. Gao, “Application of Improved Grey Theory Prediction Model in Medium-Term Load Forecasting of Distribution Network,” IEEE, 2019 Seventh International Conference on Advanced Cloud and Big Data (CBD).Suzhou, China, 21-22 Sept. pp. 151 - 155, 2019.

R. Weron, "Modeling and forecasting electricity loads and prices" Published by John Wiley & Sons, ISBN-13: 978-0-470-05753-7, 2006.

K.-H. Kim, H.-S. Youn, and Y.-C. Kang, "Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method," IEEE Transactions on Power Systems, 15(2). 599 - 565, 2000.

X. S. Yang, and S. Deb, "Cuckoo Search via Le´vy Flights," IEEE, 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), Coimbatore, India, 9-11 Dec, pp. 210 - 214, 2009.

L. A. Zadeh, "Fuzzy Sets," Elsevier, Information and Control. 8 (3), pp. 338 - 353, 1965.




DOI: https://doi.org/10.18196/jet.v5i2.12889

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