Active power management in power distribution grids: Disturbance modeling and rejection

This paper presents a control strategy for enabling a distribution system operator (DSO) to manage a power distribution grid towards an active power reference. This is accomplished by allowing the DSO to utilize flexibility in production and consumption. The control system consists of a feedforward based on estimates of inflexible consumption profiles, a feedback based on flexible asset dynamics, and a dispatch algorithm for minimizing active power loss. The estimation approach is validated on real consumption data and illustrates the method's applicability on both a step-ahead and day-ahead scale, which makes it suited for a variety of control scenarios. Simulations demonstrate the control system's ability to track an active power reference and show a 3% reduction in active power loss, compared to a strategy of uniformly dispatching the power between assets.

[1]  Rafael Wisniewski,et al.  DiSC: A simulation framework for distribution system voltage control , 2015, 2015 European Control Conference (ECC).

[2]  Niels Kjølstad Poulsen,et al.  A tool for kalman filter tuning , 2007 .

[3]  Javad Lavaei,et al.  Promises of Conic Relaxation for Contingency-Constrained Optimal Power Flow Problem , 2014, IEEE Transactions on Power Systems.

[4]  Bruce A. Francis,et al.  The internal model principle of control theory , 1976, Autom..

[5]  A. R. Wallace,et al.  Optimal power flow evaluation of distribution network capacity for the connection of distributed generation , 2005 .

[6]  B. De Moor,et al.  Short-term load forecasting, profile identification, and customer segmentation: a methodology based on periodic time series , 2005, IEEE Transactions on Power Systems.

[7]  G. Lambert-Torres,et al.  A hybrid particle swarm optimization applied to loss power minimization , 2005, IEEE Transactions on Power Systems.

[8]  S. Koopman,et al.  An Hourly Periodic State Space Model for Modelling French National Electricity Load , 2007 .

[9]  Stephen J. Wright,et al.  Distributed MPC Strategies With Application to Power System Automatic Generation Control , 2008, IEEE Transactions on Control Systems Technology.

[10]  Gang Wang,et al.  Stochastic loss minimization for power distribution networks , 2014, 2014 North American Power Symposium (NAPS).

[11]  Reinaldo Castro Souza,et al.  A smooth transition periodic autoregressive (STPAR) model for short-term load forecasting , 2008 .

[12]  Yongjun Zhang,et al.  Optimal reactive power dispatch considering costs of adjusting the control devices , 2005 .

[13]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[14]  Zhong-Ping Jiang,et al.  Analysis of Voltage Profile Problems Due to the Penetration of Distributed Generation in Low-Voltage Secondary Distribution Networks , 2012, IEEE Transactions on Power Delivery.

[15]  Jayakrishnan Radhakrishna Pillai,et al.  Loss Minimization and Voltage Control in Smart Distribution Grid , 2014 .

[16]  Riccardo Bonetto,et al.  Distributed Power Loss Minimization in Residential Micro Grids: a Communications Perspective , 2013, ArXiv.

[17]  J. Lavaei,et al.  Convex relaxation for optimal power flow problem: Mesh networks , 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

[18]  Gene F. Franklin,et al.  Feedback Control of Dynamic Systems , 1986 .