Improved Feeder Flow Control Method for a Virtual Power Plant With Various Resources to Reduce Communication Dependency

The concept of a virtual power plant (VPP) was introduced for supporting market participation of small-scale renewable energy-based generators (REGs). In a VPP, energy storage systems (ESSs) and micro-turbine-based generators (MTGs) are used together to mitigate the variability of the output of REGs. To keep the output of a VPP at the contracted value in a market, centralized feeder flow control (FFC) methods can be adopted for the VPP. However, conventional centralized FFC methods lack careful consideration of different characteristics of various resources and require high-speed communications and several central control units. Therefore, this paper proposes a new FFC method considering various characteristics of resources and enabling operation with less communication dependency. The effectiveness of the proposed method is verified by comparing the results of the proposed method with those of the conventional method with performance analysis, stability analysis, and simulations with Simulink/MATLAB.

[1]  Joao P. S. Catalao,et al.  Strategic bidding of virtual power plant in energy markets: A bi-level multi-objective approach , 2019 .

[2]  Josep M. Guerrero,et al.  Decentralized Optimal Frequency Control in Autonomous Microgrids , 2019, IEEE Transactions on Power Systems.

[3]  Janusz W. Bialek,et al.  PMU-Based Estimation of Dynamic State Jacobian Matrix and Dynamic System State Matrix in Ambient Conditions , 2018, IEEE Transactions on Power Systems.

[4]  Javad Nikoukar,et al.  Optimal management of renewable energy sources by virtual power plant , 2017 .

[5]  Kai Strunz,et al.  A BENCHMARK LOW VOLTAGE MICROGRID NETWORK , 2005 .

[6]  Yateendra Mishra,et al.  Universal active and reactive power control of electronically interfaced distributed generation sources in virtual power plants operating in gridconnected and islanding modes , 2013 .

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

[8]  Huan Wang,et al.  Double Closed-Loop PI Control of Three-Phase Inverters by Binary-Coded Extremal Optimization , 2016, IEEE Access.

[9]  Danny Pudjianto,et al.  Virtual power plant and system integration of distributed energy resources , 2007 .

[10]  Josep M. Guerrero,et al.  Secondary Restoration Control of Islanded Microgrids With a Decentralized Event-Triggered Strategy , 2018, IEEE Transactions on Industrial Informatics.

[11]  Igor Kuzle,et al.  Virtual power plant mid-term dispatch optimization , 2013 .

[12]  Soon-Ryul Nam,et al.  Power-Sharing Method of Multiple Distributed Generators Considering Control Modes and Configurations of a Microgrid , 2010, IEEE Transactions on Power Delivery.

[13]  Craig J. Ramlal,et al.  Decentralized Fuzzy $H_\infty$-Iterative Learning LFC With Time-Varying Communication Delays and Parametric Uncertainties , 2019, IEEE Transactions on Power Systems.

[14]  Reza Iravani,et al.  Voltage-Sourced Converters in Power Systems: Modeling, Control, and Applications , 2010 .

[15]  Xia Lei,et al.  A Bi-Layer Multi-Time Coordination Method for Optimal Generation and Reserve Schedule and Dispatch of a Grid-Connected Microgrid , 2019, IEEE Access.

[16]  Issarachai Ngamroo,et al.  Wide area robust TCSC controller design considering communication delay uncertainty , 2010, ECTI-CON2010: The 2010 ECTI International Confernce on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology.

[17]  Juan C. Vasquez,et al.  Centralized Control Architecture for Coordination of Distributed Renewable Generation and Energy Storage in Islanded AC Microgrids , 2017, IEEE Transactions on Power Electronics.

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

[19]  Valeriy Vyatkin,et al.  Virtual Power Plant for Grid Services Using IEC 61850 , 2016, IEEE Transactions on Industrial Informatics.

[20]  Nikos D. Hatziargyriou,et al.  A Review of Power System Flexibility With High Penetration of Renewables , 2019, IEEE Transactions on Power Systems.

[21]  Cuk Supriyadi Ali Nandar,et al.  Robust PI control of smart controllable load for frequency stabilization of microgrid power system , 2013 .

[22]  Fu-Sheng Pai,et al.  An Improved Utility Interface for Microturbine Generation System With Stand-Alone Operation Capabilities , 2006, IEEE Transactions on Industrial Electronics.

[23]  I. Ngamroo,et al.  Coordinated PHEV, PV, and ESS for Microgrid Frequency Regulation Using Centralized Model Predictive Control Considering Variation of PHEV Number , 2018, IEEE Access.

[24]  Eung-Sang Kim,et al.  Generation Adjustment Method Based on Bus-Dependent Participation Factor , 2018, IEEE Transactions on Power Systems.

[25]  Eung-Sang Kim,et al.  Frequency and Voltage Control Strategy of Standalone Microgrids With High Penetration of Intermittent Renewable Generation Systems , 2016, IEEE Transactions on Power Systems.

[26]  Lieven Vandevelde,et al.  Smart microgrids and virtual power plants in a hierarchical control structure , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[27]  Seung-Il Moon,et al.  Coordinated Frequency and State-of-Charge Control with Multi-Battery Energy Storage Systems and Diesel Generators in an Isolated Microgrid , 2019, Energies.

[28]  Joachim Melbert,et al.  600-A Test System for Aging Analysis of Automotive Li-Ion Cells With High Resolution and Wide Bandwidth , 2016, IEEE Transactions on Instrumentation and Measurement.

[29]  R. Iravani,et al.  A three-level converter based micro-turbine distributed generation system , 2006, 2006 IEEE Power Engineering Society General Meeting.

[30]  Hossein Nezamabadi,et al.  Arbitrage strategy of virtual power plants in energy, spinning reserve and reactive power markets , 2016 .

[31]  Il-Yop Chung,et al.  Control parameter optimization for a microgrid system using particle swarm optimization , 2008, 2008 IEEE International Conference on Sustainable Energy Technologies.

[32]  Peter W. Sauer,et al.  Measurement-Based Estimation of the Power Flow Jacobian Matrix , 2016, IEEE Transactions on Smart Grid.

[33]  Pedro Francisco Donoso-Garcia,et al.  Hybrid Distributed and Decentralized Secondary Control Strategy to Attain Accurate Power Sharing and Improved Voltage Restoration in DC Microgrids , 2020, IEEE Transactions on Power Electronics.

[34]  Li Wang,et al.  Analysis of a Microturbine Generator System Connected to a Distribution System Through Power-Electronics Converters , 2011, IEEE Transactions on Sustainable Energy.

[35]  Josep M. Guerrero,et al.  Microgrids in active network management—Part I: Hierarchical control, energy storage, virtual power plants, and market participation , 2014 .

[36]  Ali Feliachi,et al.  Adaptive coordinated feeder flow control in distribution system with the support of distributed energy resources , 2017 .

[37]  Luis Baringo,et al.  Day-Ahead Self-Scheduling of a Virtual Power Plant in Energy and Reserve Electricity Markets Under Uncertainty , 2019, IEEE Transactions on Power Systems.

[38]  Hamdi Abdi,et al.  A novel partial transient active-reactive power coupling method for reactive power sharing , 2019 .

[39]  Rae-Young Kim,et al.  A Distributed Control Method Based on a Voltage Sensitivity Matrix in DC Microgrids With Low-Speed Communication , 2019, IEEE Transactions on Smart Grid.

[40]  Xu Wang,et al.  A Microgrid Energy Management System and Risk Management Under an Electricity Market Environment , 2016, IEEE Access.

[41]  F. Valenciaga,et al.  Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy , 2005, IEEE Transactions on Energy Conversion.

[42]  Sukumar Mishra,et al.  Design of controller and communication for frequency regulation of a smart microgrid , 2012 .

[43]  van de Wal.  Actuator control with H-infinity and mu-synthesis , 2005 .

[44]  Mohammad Shahidehpour,et al.  Multitime Scale Coordinated Scheduling for the Combined System of Wind Power, Photovoltaic, Thermal Generator, Hydro Pumped Storage, and Batteries , 2020, IEEE Transactions on Industry Applications.