Secondary Load Frequency Control of Time-Delay Stand-Alone Microgrids With Electric Vehicles

This study utilizes a new optimal model-free controller based on a sliding mode technique to make a balance between load demands and power generations in the time-delay stand-alone microgrid system with electric vehicles. Forasmuch as the performance of the proposed controller is related to its parameter values, a new modified optimization algorithm, entitled the Black Hole optimization search algorithm, is applied to tune the coefficients of the proposed model-free technique. Finally, in order to validate the feasibility of the suggested approach under load disturbances, detailed simulation, and hardware-in-the-loop experimental results are shown.

[1]  Issarachai Ngamroo,et al.  Coordinated Control of Wind Turbine Blade Pitch Angle and PHEVs Using MPCs for Load Frequency Control of Microgrid , 2016, IEEE Systems Journal.

[2]  Nand Kishor,et al.  A literature survey on load–frequency control for conventional and distribution generation power systems , 2013 .

[3]  Mohammad Shahidehpour,et al.  Grid Secondary Frequency Control by Optimized Fuzzy Control of Electric Vehicles , 2018, IEEE Transactions on Smart Grid.

[4]  Saeid Nahavandi,et al.  Static Output Feedback Frequency Stabilization of Time-Delay Power Systems With Coordinated Electric Vehicles State of Charge Control , 2017, IEEE Transactions on Power Systems.

[5]  Jin Zhang,et al.  Adaptive Event-Triggering ${H}_{\infty }$ Load Frequency Control for Network-Based Power Systems , 2018, IEEE Transactions on Industrial Electronics.

[6]  Juan C. Vasquez,et al.  Small-Signal Analysis of the Microgrid Secondary Control Considering a Communication Time Delay , 2016, IEEE Transactions on Industrial Electronics.

[7]  Yasunori Mitani,et al.  Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach , 2012, IEEE Transactions on Smart Grid.

[8]  Hieu Minh Trinh,et al.  Load Frequency Control of Power Systems With Electric Vehicles and Diverse Transmission Links Using Distributed Functional Observers , 2016, IEEE Transactions on Smart Grid.

[9]  Abdolreza Hatamlou,et al.  Black hole: A new heuristic optimization approach for data clustering , 2013, Inf. Sci..

[10]  Issarachai Ngamroo,et al.  Application of electrolyzer to alleviate power fluctuation in a stand alone microgrid based on an optimal fuzzy PID control , 2012 .

[11]  Radu-Emil Precup,et al.  Model-free sliding mode control of nonlinear systems: Algorithms and experiments , 2017, Inf. Sci..

[12]  Taher Niknam,et al.  A new load frequency control strategy for micro-grids with considering electrical vehicles , 2017 .

[13]  Frede Blaabjerg,et al.  A robust adaptive load frequency control for micro-grids. , 2016, ISA transactions.

[14]  Haibo He,et al.  Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy , 2017, IEEE Transactions on Industrial Electronics.

[15]  Juan C. Vasquez,et al.  Hierarchical Control of Droop-Controlled AC and DC Microgrids—A General Approach Toward Standardization , 2009, IEEE Transactions on Industrial Electronics.

[16]  Stephan Koch,et al.  Provision of Load Frequency Control by PHEVs, Controllable Loads, and a Cogeneration Unit , 2011, IEEE Transactions on Industrial Electronics.

[17]  Rasoul Azizipanah-Abarghooee,et al.  Multiobjective Dynamic Optimal Power Flow Considering Fuzzy-Based Smart Utilization of Mobile Electric Vehicles , 2016, IEEE Transactions on Industrial Informatics.

[18]  S. Kayalvizhi,et al.  Load Frequency Control of an Isolated Micro Grid Using Fuzzy Adaptive Model Predictive Control , 2017, IEEE Access.

[19]  Tomonobu Senjyu,et al.  Fuzzy Control of Distributed PV Inverters/Energy Storage Systems/Electric Vehicles for Frequency Regulation in a Large Power System , 2013, IEEE Transactions on Smart Grid.

[20]  Li Wang,et al.  Small-Signal Stability Analysis of an Autonomous Hybrid Renewable Energy Power Generation/Energy Storage System Part I: Time-Domain Simulations , 2008, IEEE Transactions on Energy Conversion.