Firefly Algorithm-Based Optimized Controller for Frequency Control of an Autonomous Multi-Microgrid

This paper considered a mathematical model that consists of two-area microgrid based on renewable energy resources for the study of automatic generation control. The microgrid consists of Solar Photovoltaic (SPV); Hydro, Battery Energy Storage System (BESS); Load, and one has Bio Gas Turbine Generator (BGTG) and other have Biodiesel Engine Generator (BDEG). Proportional-Integral (PI) controller is used as the frequency controller for this system. The BDEG, BGTG, and BESS have been considered for instant Load Frequency Control (LFC) sources during a disturbance in the system frequency. Cuckoo Search (CS) and Firefly (FA) algorithms are used for tuning the gain values of the controllers. Finally, for the validity of the proposed approach, the system performance obtained by the firefly algorithm for PI controller with random step load perturbation is compared with the CS algorithm

[1]  A. Hasib Chowdhury,et al.  Load frequency control of multi-microgrid using energy storage system , 2014, 8th International Conference on Electrical and Computer Engineering.

[2]  Amar Kumar Barik,et al.  Expeditious frequency control of solar photovoltaic/biogas/biodiesel generator based isolated renewable microgrid using grasshopper optimisation algorithm , 2018, IET Renewable Power Generation.

[3]  Xin-She Yang,et al.  Firefly Algorithm: Recent Advances and Applications , 2013, ArXiv.

[4]  Deepak Kumar Lal,et al.  Load Frequency Control of Multi Area Interconnected Microgrid Power System using Grasshopper Optimization Algorithm Optimized Fuzzy PID Controller , 2018, 2018 Recent Advances on Engineering, Technology and Computational Sciences (RAETCS).

[5]  Ramin Rajabioun,et al.  Cuckoo Optimization Algorithm , 2011, Appl. Soft Comput..

[6]  Attia A. El-Fergany,et al.  Efficient frequency controllers for autonomous two-area hybrid microgrid system using social-spider optimiser , 2017 .

[7]  J.A.P. Lopes,et al.  Hierarchical Frequency Control Scheme for Islanded Multi-Microgrids Operation , 2007, 2007 IEEE Lausanne Power Tech.

[8]  D. Muthu,et al.  Production of Biogas from wastes Blended with CowDung for Electricity generation-A Case study , 2017 .

[9]  Xin Wang,et al.  Load frequency control in multiple microgrids based on model predictive control with communication delay , 2017 .

[10]  Chandrasekhar Yammani,et al.  Multi-Objective Jaya Algorithm for Optimal Scheduling of DGs in Distribution System Sectionalized into Multi-Microgrids , 2018, Smart Science.

[11]  Nand Kishor,et al.  Small-Signal Analysis of Autonomous Hybrid Distributed Generation Systems in Presence of Ultracapacitor and Tie-Line Operation , 2010 .

[12]  Aniruddha Bhattacharya,et al.  Load Frequency Control of Microgrid Considering Renewable Source Uncertainties , 2018, 2018 Internat2018 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)ional conference on computation of power, energy, Information and Communication (ICCPEIC).