Modified stochastic algorithm for decentralized active demand response (DADR) system supporting primary load frequency control

The concept of decentralized demand response systems is not new, however descriptions of such systems are usually limited to general ideas and possible system services. In this paper the original modified stochastic Decentralized Active Demand Response (DADR) control algorithm has been presented. Fulfillment of the theoretically assumed properties has been numerically tested in a specially elaborated simulation arrangement based on a well-known model of the power system. Applicability of the proposed control algorithm has been initially tested using a specially developed prototype.

[1]  C. Y. Chung,et al.  Well-Being Analysis of Generating Systems Considering Electric Vehicle Charging , 2014, IEEE Transactions on Power Systems.

[2]  Hassan Bevrani,et al.  Robust Power System Frequency Control , 2009 .

[3]  Grzegorz Benysek,et al.  Decentralized Active Demand Response (DADR) system for improvement of frequency stability in distribution network , 2016 .

[4]  Grzegorz Benysek,et al.  Application of Stochastic Decentralized Active Demand Response (DADR) System for Load Frequency Control , 2018, IEEE Transactions on Smart Grid.

[5]  Mario Paolone,et al.  GECN: Primary Voltage Control for Active Distribution Networks via Real-Time Demand-Response , 2014, IEEE Transactions on Smart Grid.

[6]  Taisuke Masuta,et al.  Supplementary Load Frequency Control by Use of a Number of Both Electric Vehicles and Heat Pump Water Heaters , 2012, IEEE Transactions on Smart Grid.

[7]  Jianzhong Wu,et al.  Primary Frequency Response From Electric Vehicles in the Great Britain Power System , 2013, IEEE Transactions on Smart Grid.

[8]  Xinghuo Yu,et al.  Hierarchical Distributed Scheme for Demand Estimation and Power Reallocation in a Future Power Grid , 2017, IEEE Transactions on Industrial Informatics.

[9]  M. Jarnut,et al.  Compensation of CM voltage in interfaces for LV distributed generation , 2011, 2011 IEEE International Symposium on Electromagnetic Compatibility.

[10]  Grzegorz Benysek,et al.  Electric vehicle charging infrastructure in Poland , 2012 .

[11]  Jianhui Wang,et al.  A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response , 2014, IEEE Transactions on Power Systems.

[12]  Marko Aunedi,et al.  Economic and Environmental Benefits of Dynamic Demand in Providing Frequency Regulation , 2013, IEEE Transactions on Smart Grid.

[13]  G. Strbac,et al.  Decentralized Participation of Flexible Demand in Electricity Markets—Part I: Market Mechanism , 2013, IEEE Transactions on Power Systems.

[14]  P. Mancarella,et al.  Decentralized Participation of Flexible Demand in Electricity Markets—Part II: Application With Electric Vehicles and Heat Pump Systems , 2013, IEEE Transactions on Power Systems.

[15]  Grzegorz Benysek,et al.  AC/DC/DC Interfaces for V2G Applications—EMC Issues , 2013, IEEE Transactions on Industrial Electronics.

[16]  Tingwen Huang,et al.  Second-Order Continuous-Time Algorithms for Economic Power Dispatch in Smart Grids , 2018, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[17]  Mehdi Rahmani,et al.  LMI-Based Robust Predictive Load Frequency Control for Power Systems With Communication Delays , 2017, IEEE Transactions on Power Systems.

[18]  Kazunori Sakurama,et al.  Communication-Based Decentralized Demand Response for Smart Microgrids , 2017, IEEE Transactions on Industrial Electronics.