NDLI: Non-linear recurrent ANN-based LFC design considering the new structures of Q matrix

Content Provider	IET Digital Library
Author	Nasiruddin, Ibraheem Sharma, Gulshan Niazi, K. R. Bansal, Ramesh C.
Abstract	This paper presents the design of a non-linear recurrent artificial neural network (ANN) based load frequency control (LFC) of a two-area power system interconnected via HVDC tie-line in parallel with EHVAC line. The control design is based on the combination of robust LFC and optimisation of recurrent ANN so that designed LFC scheme is suitable to handle the diverse operating conditions of power system. The various structures of the state cost weighting matrix (Q), i.e. controllability and observability aspects which affect the dynamics of the power system are used for the LFC design. The feedback gains achieved by the implementation of robust LFC using the different structures of Q are used to effectively train the recurrent ANN-based LFC design and its performance is analysed with and without system non-linearity's for 1% step load disturbance in one of the control areas to show the superiority of one design over the others. The closed-loop system eigenvalues obtained for the system ensure the system stability. Furthermore, the recurrent ANN-based LFC performance is evaluated for the diverse system operating conditions and compared with multi-layer perceptron (MLP) ANN-based and conventional PI control schemes to demonstrate the effectiveness of proposed LFC design scheme.
Starting Page	2862
Ending Page	2870
Page Count	9
ISSN	17518687
Volume Number	11
e-ISSN	17518695
Issue Number	Issue 11, Aug (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/11/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0003
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-06-06
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Closed Loop System Closed-loop System Eigenvalues Control Design Control of Electric Power System Control System Analysis Control System Synthesis Controllability Aspect Conventional PI Control Scheme D.C. Transmission EHVAC Line Feedback Gain Frequency Control HVDC Power Transmission HVDC Tie-line Load Frequency Control Load Regulation MLP ANN Control Scheme Multilayer Perceptron ANN Control Scheme Neurocontrol Neurocontrollers Nonlinear Control System Nonlinear Recurrent ANN-based LFC Design Nonlinear Recurrent Artificial Neural Network Observability Aspect Optimisation Optimisation Problem Optimisation Technique PI Control Power System Dynamic Stability Power System Dynamics Q Matrix Robust LFC State Cost Weighting Matrix Step Load Disturbance Synthesis Method System Stability Two-area Power System
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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