Particle Swarm Optimization and Backward/Forward Sweep Load Flow Analysis for Droop-Regulated Islanded Microgrids

This paper presents a frequency and voltage control implementation for a droop-regulated islanded microgrid through Direct Backward Forward Sweep Load-Flow Method (DBFS) modeled as a particle swarm optimization (PSO) problem. The PSO allied with the Vehicle-to-Grid (V2G) technology of electric vehicles controls the microgrid droop features to improve steady state frequency and voltage. As an advantage, this load flow method runs without the necessity of a slack bus. Simulations are performed in a 33-bus distribution system with distributed generators and electric vehicles, and the results showed the effectiveness and convergence of the proposed method.

[1]  Hao Xing,et al.  Decentralized Optimal Scheduling for Charging and Discharging of Plug-In Electric Vehicles in Smart Grids , 2016, IEEE Transactions on Power Systems.

[2]  Mohammed E. Nassar,et al.  A novel branch-based power flow algorithm for islanded AC microgrids , 2017 .

[3]  Oriol Gomis-Bellmunt,et al.  Trends in Microgrid Control , 2014, IEEE Transactions on Smart Grid.

[4]  Yuri R. Rodrigues,et al.  Considerations on islanded microgrid frequency control capability within different generation configurations , 2016, 2016 12th IEEE International Conference on Industry Applications (INDUSCON).

[5]  Felix F. Wu,et al.  Network Reconfiguration in Distribution Systems for Loss Reduction and Load Balancing , 1989, IEEE Power Engineering Review.

[6]  Usman Bashir Tayab,et al.  A review of droop control techniques for microgrid , 2017 .

[7]  Mohammad A. S. Masoum,et al.  V2G application to frequency regulation in a microgrid using decentralized fuzzy controller , 2014, Proceedings of 2014 International Conference on Modelling, Identification & Control.

[8]  Jinsong Wu,et al.  A survey of battery energy storage system (BESS), applications and environmental impacts in power systems , 2017, 2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM).

[9]  Lingyu Ren,et al.  Generalized Microgrid Power Flow , 2018, IEEE Transactions on Smart Grid.

[10]  Romeo Ortega,et al.  Modeling of microgrids - from fundamental physics to phasors and voltage sources , 2015, Autom..

[11]  Tarek Hassan Mohamed,et al.  Single area power system voltage and frequency control using V2G scheme , 2017, 2017 Nineteenth International Middle East Power Systems Conference (MEPCON).

[12]  Yue Shi,et al.  A modified particle swarm optimizer , 1998, 1998 IEEE International Conference on Evolutionary Computation Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98TH8360).

[13]  James Kennedy,et al.  Particle swarm optimization , 2002, Proceedings of ICNN'95 - International Conference on Neural Networks.

[14]  Mehdi Savaghebi,et al.  Power flow modeling of islanded AC microgrids with hierarchical control , 2019, International Journal of Electrical Power & Energy Systems.

[15]  Dan Liu,et al.  Autonomous frequency regulation control of V2G(Vehicle-to-grid) system , 2017, 2017 29th Chinese Control And Decision Conference (CCDC).