Extended Partial States Observer Based Load Frequency Control Scheme Design For Multi-area Power System Considering Wind Energy Integration

Abstract With the increase of wind energy integration in power systems, frequency control meets new challenges due to the uncertainty and stochasticity of wind power. In this paper, in respect to the frequency instability problem caused by disturbances of wind power, we propose an extended partial observer based load frequency control (LFC) scheme. An extended partial states observer (EPSO) is first designed to estimate both the unmeasurable states of the LFC system and wind power disturbance. And then a composite feedback controller using estimation from EPSO as well as measurable states of the LFC system itself is designed, thus attenuating the wind energy disturbance in the output channel and achieving asymptotical stability of both frequency and tie-line interchange power of the control area. The proposed LFC scheme has better feasibility to practical application since it is in essence a linear combination of measurable states values and EPSO-observed states values. Besides, it has better control performance than PI controller and saves the lengthy computational work of parameters tuning for PI controller with the aid of pole placement technique.

[1]  Behrooz Vahidi,et al.  A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems. , 2013, ISA transactions.

[2]  Yang Fu,et al.  The sliding mode load frequency control for hybrid power system based on disturbance observer , 2016 .

[3]  K. Tomsovic,et al.  Application of linear matrix inequalities for load frequency control with communication delays , 2004, IEEE Transactions on Power Systems.

[4]  F. Jowder,et al.  Weibull and Rayleigh Distribution Functions of Wind Speeds in Kingdom of Bahrain , 2006 .

[5]  Bin Du,et al.  Linear active disturbance rejection-based load frequency control concerning high penetration of wind energy , 2015 .

[6]  Corneliu Marinescu,et al.  Aggregate load-frequency control of a wind-hydro autonomous microgrid , 2011 .

[7]  A. Dorvlo Estimating wind speed distribution , 2002 .

[8]  Hassan Bevrani,et al.  Model predictive based load frequency control_design concerning wind turbines , 2012 .

[9]  Yao Zhang,et al.  A robust decentralized load frequency controller for interconnected power systems. , 2012, ISA transactions.

[10]  Hong Liu,et al.  Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines , 2016, Neurocomputing.

[11]  Vivekananda Mukherjee,et al.  Load frequency control of an autonomous hybrid power system by quasi-oppositional harmony search algorithm , 2016 .

[12]  Kun Yuan,et al.  Disturbance rejection-based LFC for multi-area parallel interconnected AC/DC system , 2016 .

[13]  Dalibor Petković,et al.  Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation , 2013 .

[14]  Nedjeljko Perić,et al.  Sliding mode based load-frequency control in power systems , 2010 .

[15]  Yuchun Hao,et al.  Load frequency control in deregulated environments via active disturbance rejection , 2015 .