Intelligent control strategy for power management in hybrid renewable energy system

Now a days, the power distribution between RES and load through a storage backup system to balance the load using adaptive neuro-fuzzy inference system (ANFIS) in Wind/PV/FC/battery system is discussed. The dynamic model consists of PV, FC, storage system, converters and controllers for ensuring the continuous power supply for load demand. The proposed hybrid control strategy for hybrid renewable energy with wind, solar power, FC and battery system are proposed in grid connected hybrid system. The proposed control strategy is performed under random solar insolation and temperature, to obtain maximum power by using ANFIS at different conditions. The main aim of this paper is to maintain constant DC bus voltage, analyze and study the improvements in power flow in HPS.

[1]  P. Reji,et al.  Battery charge controller for hybrid stand alone system using adaptive neuro fuzzy inference system , 2016, 2016 International Conference on Energy Efficient Technologies for Sustainability (ICEETS).

[2]  Chung-Liang Chang,et al.  Combining the Wind Power Generation System with Energy Storage Equipments , 2008, 2008 IEEE Industry Applications Society Annual Meeting.

[3]  Frede Blaabjerg,et al.  Flexible Active Power Control of Distributed Power Generation Systems During Grid Faults , 2007, IEEE Transactions on Industrial Electronics.

[4]  Jin Wei,et al.  Intelligent Soft Computing-Based Security Control for Energy Management Architecture of Hybrid Emergency Power System for More-Electric Aircrafts , 2018, IEEE Journal of Selected Topics in Signal Processing.

[5]  Sewan Choi,et al.  Indirect Current Control Algorithm for Utility Interactive Inverters in Distributed Generation Systems , 2008, IEEE Transactions on Power Electronics.

[6]  Wei Hong,et al.  Dynamic Behavioral Modeling of Power Amplifiers Using ANFIS-Based Hammerstein , 2008, IEEE Microwave and Wireless Components Letters.

[7]  Mohammad El-Bardini,et al.  Design and FPGA-implementation of an improved adaptive fuzzy logic controller for DC motor speed control , 2014 .

[8]  Luis M. Fernández,et al.  ANFIS-Based Control of a Grid-Connected Hybrid System Integrating Renewable Energies, Hydrogen and Batteries , 2014, IEEE Transactions on Industrial Informatics.

[9]  A. Yazdani Islanded Operation of A Doubly-Fed Induction Generator (DFIG) Wind-Power System with Integrated Energy Storage , 2007, 2007 IEEE Canada Electrical Power Conference.

[10]  S. Chowdhury,et al.  ANFIS based automatic voltage regulator with hybrid learning algorithm , 2007, 2007 42nd International Universities Power Engineering Conference.

[11]  Chanan Singh,et al.  Evaluation of the failure rates of transmission lines during hurricanes using a neuro-fuzzy system , 2010, 2010 IEEE 11th International Conference on Probabilistic Methods Applied to Power Systems.

[12]  Pedro Ponce,et al.  A Supervised Adaptive Neuro-Fuzzy Inference System controller for a Hybrid Electric Vehicle's power train system , 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

[13]  J.P. Barton,et al.  Energy storage and its use with intermittent renewable energy , 2004, IEEE Transactions on Energy Conversion.

[14]  Paras Mandal,et al.  A Hybrid Intelligent Framework for Wind Power Forecasting Engine , 2014, 2014 IEEE Electrical Power and Energy Conference.

[15]  Padmanaban Sanjeevikumar,et al.  Review on control techniques and methodologies for maximum power extraction from wind energy systems , 2018, IET Renewable Power Generation.

[16]  Hemanth Kumar. M.B,et al.  Power Quality Improvement for Wind Energy Conversion System using Composite Observer Controller with Fuzzy Logic , 2018, International Journal of Intelligent Systems and Applications.

[17]  Li Wang,et al.  Combining the Wind Power Generation System With Energy Storage Equipment , 2009, IEEE Transactions on Industry Applications.

[18]  Ziyad M. Salameh,et al.  Dynamic response of a stand-alone wind energy conversion system with battery energy storage to a wind gust , 1997 .

[19]  Luciane Neves Canha,et al.  Multi-objective analysis of impacts of distributed generation placement on the operational characteristics of networks for distribution system planning , 2010 .

[20]  Ren He,et al.  Design of an Energy Management Strategy for a Parallel Hybrid Electric Bus Based on an IDP-ANFIS Scheme , 2018, IEEE Access.

[21]  Archana Mohan,et al.  Reactive power compensation of wind-diesel hybrid system using STATCOM with Fuzzy tuned and ANFIS tuned PID controllers , 2015, 2015 International Conference on Control Communication & Computing India (ICCC).

[22]  Qing-Chang Zhong,et al.  A Current-Control Strategy for Voltage-Source Inverters in Microgrids Based on $H^{\infty }$ and Repetitive Control , 2011, IEEE Transactions on Power Electronics.

[23]  Henrik Madsen,et al.  Short‐term Prediction—An Overview , 2003 .

[24]  Asheesh K. Singh,et al.  A passive islanding detection approach for distributed generation using rate of change of negative sequence voltage and current , 2016, 2016 IEEE Uttar Pradesh Section International Conference on Electrical, Computer and Electronics Engineering (UPCON).

[25]  Hany M. Hasanien,et al.  Hybrid ANFIS-GA-based control scheme for performance enhancement of a grid-connected wind generator , 2018 .

[26]  Aeidapu Mahesh,et al.  ANFIS based energy management strategy for PV/Wind/Battery hybrid energy system , 2016, 2016 IEEE 7th Power India International Conference (PIICON).

[27]  Frede Blaabjerg,et al.  Overview of Control and Grid Synchronization for Distributed Power Generation Systems , 2006, IEEE Transactions on Industrial Electronics.

[28]  A. P. Grilo,et al.  Protection strategies for rotor side converter of DFIG-based wind turbine during voltage dips , 2015, 2015 IEEE Power & Energy Society General Meeting.

[29]  Maloth Naresh,et al.  A rapid charging system with bi-directional power flow for plug-in hybrid electric vehicle , 2017, 2017 Innovations in Power and Advanced Computing Technologies (i-PACT).

[30]  Felix A. Farret,et al.  Interaction between proton exchange membrane fuel cells and power converters for AC integration , 2008 .