Design of SVC Damping Controller Based on Biogeography-Based Optimization Algorithm

2014 ◽  
Vol 668-669 ◽  
pp. 470-473
Author(s):  
Wu Gai Yang ◽  
Li Na Ke ◽  
Fei Fei Dong ◽  
Zhi Ping Zheng
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Power Grid ◽  
Time Varying ◽  
Static Var Compensator ◽  
Nonlinear Characteristics ◽  
Subsynchronous Resonance ◽  
Grid Operation ◽  
Safety And Stability ◽  
Damping Controller

On account of that common subsynchronous resonance controllers cannot well adapt to the time-varying and nonlinear characteristics of power system, biogeography-based optimization (BBO) algorithm is introduced to design subsynchronous damping controller optimally based on the mechanism of suppressing SSO by static var compensator (SVC). The simulatied results of Jinjie plant indicate that the subsynchronous damping controller optimized by BBO algorithm can remarkably improve the damping of torsional modals and thus effectively depress the multimodal SSO, ensuring the safety and stability of units and power grid operation.

scholarly journals Design of SVC Controller Based on Improved Biogeography-Based Optimization Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Feifei Dong ◽  
Dichen Liu ◽  
Jun Wu ◽  
Bingcheng Cen ◽  
Haolei Wang ◽  
...  
Keyword(s):  
Nonlinear Behavior ◽  
Pso Algorithm ◽  
Subsynchronous Resonance ◽  
Electromagnetic Simulations ◽  
Mutation Strategy ◽  
Cauchy Mutation ◽  
Ga Algorithm ◽  
Grid Operation ◽  
Safety And Stability ◽  
Damping Controller

Considering that common subsynchronous resonance controllers cannot adapt to the characteristics of the time-varying and nonlinear behavior of a power system, the cosine migration model, the improved migration operator, and the mutative scale of chaos and Cauchy mutation strategy are introduced into an improved biogeography-based optimization (IBBO) algorithm in order to design an optimal subsynchronous damping controller based on the mechanism of suppressing SSR by static var compensator (SVC). The effectiveness of the improved controller is verified by eigenvalue analysis and electromagnetic simulations. The simulation results of Jinjie plant indicate that the subsynchronous damping controller optimized by the IBBO algorithm can remarkably improve the damping of torsional modes and thus effectively depress SSR, and ensure the safety and stability of units and power grid operation. Moreover, the IBBO algorithm has the merits of a faster searching speed and higher searching accuracy in seeking the optimal control parameters over traditional algorithms, such as BBO algorithm, PSO algorithm, and GA algorithm.

scholarly journals The Maximum Scale Analysis of PV Generation Growth based on Power Grid Development

2019 ◽  
Vol 118 ◽  
pp. 02023
Author(s):  
Huang Zonghong ◽  
Wangcheng Long ◽  
Xiang Li ◽  
Xu dongjie ◽  
Zhe Sun
Keyword(s):  
Power System ◽  
Electricity Generation ◽  
Large Scale ◽  
System Development ◽  
Power Grid ◽  
Great Influence ◽  
The Difference ◽  
Grid Operation ◽  
Policy Guidance ◽  
Pv Generation

Since 2010, photovoltaic (PV) was growing rapidly for policy guidance in China. The large-scale PV electricity generation had a great influence on the power grid operation because of the change of the power supply layout. How to analyse the influence is an important matter to power system development. The analysed results will decide the trends of the PV electricity generation in future. Therefore, the Coordination analysis of PV generation growth is crucial to those developments. In this paper, the reasonable plant scale arrangement was discussed based on the difference between peak and valley of power system.

Robust control of static Var compensator-based power oscillation dampers using polynomial control in power systems

2017 ◽  
Vol 40 (5) ◽  
pp. 1395-1406 ◽  
Author(s):  
Hamed Hasanvand ◽  
Mohammad Reza Zamani
Keyword(s):  
Robust Control ◽  
Power System ◽  
System Analysis ◽  
Stability Boundary ◽  
Test System ◽  
Pi Controller ◽  
Operating Conditions ◽  
Static Var Compensator ◽  
Gain Margin ◽  
Damping Controller

A static Var compensator (SVC) installed in a power transmission network can be effectively exploited to enhance the damping of low frequency electromechanical oscillations. The application of robust control theory offers more reliable and robust damping controller to achieve desired damping level considering variations in the operating conditions of power system. This paper presents a new approach to design a robust proportional-integral (PI) controller for stabilizing power system oscillations. The variability in operating conditions is captured using an interval polynomial and then, Kharitonov’s theorem is used to design the desired damping controller. The proposed method is based on plotting the stability boundary locus in the ( kp-ki) plane and then computing the stabilizing values of the parameters of a PI controller. Besides stabilization, computation of stabilizing PI controllers that achieve user specified gain margin (Gm), phase margin (Pm) and bandwidth is studied simultaneously. This novel method enables designers to make the convenient trade-off between stability and performance by choosing the proper margins and bandwidth specifications. In addition, the most appropriate stabilizing input signal is selected using Hankel singular value (HSV) and right half plane-zeros (RHP-zeros) for the SVC-based supplementary damping controller. The effectiveness and robustness of the proposed controller are demonstrated using eigenvalue analysis and time-domain simulation for a 16 machine 68-bus test system. The simulations and analysis are implemented in matrix laboratory environment and power system analysis toolbox.

Application of Turbine Torsional Oscillation Damping Controller to Static Var Compensator

2015 ◽  
Vol 137 (10) ◽  
Author(s):  
Amir Ghorbani ◽  
Masoud Arablu
Keyword(s):  
Power Systems ◽  
Transmission Lines ◽  
Torsional Oscillation ◽  
Static Var Compensator ◽  
Subsynchronous Resonance ◽  
Phasor Measurements ◽  
Transient Simulations ◽  
Measurement Units ◽  
Oscillation Damping ◽  
Damping Controller

This paper proposes a new auxiliary turbine torsional oscillation damping controller (TTODC) for static var compensator (SVC) to dampen out subsynchronous oscillations in power systems containing series compensated transmission lines. A new TTODC algorithm on the basis of synchronized phasor measurements received from phasor measurement units (PMUs) is presented. The idea of using remote signals obtained from PMU to dampen subsynchronous resonance (SSR) presented, too. An auxiliary TTODC is proposed for a SVC, using the generator rotor speed deviation signal as the stabilizing and remote signal to dampen subsynchronous oscillations. The performance of the controller is verified in a detailed nonlinear system considering eigenvalue analysis and transient simulations. Sturdiness of the controller is examined by applying the disturbances in the system that causes significant changes in generator's operating point. The IEEE second benchmark (SBM) model is used for the analysis and the SVC is simulated using the power system blockset (PSB) in the matlab/simulink environment.

scholarly journals The Application of Artificial Intelligence Technology in Smart Energy

2020 ◽  
Vol 185 ◽  
pp. 01037
Author(s):  
Xiaotao Jiang ◽  
Ming Xin Zhao ◽  
Wei Liu ◽  
Ruo Bing Xu
Keyword(s):  
Artificial Intelligence ◽  
Power System ◽  
Power Flow ◽  
Power Grid ◽  
Operation Mode ◽  
Energy System ◽  
Effective Measure ◽  
New Energy ◽  
Artificial Intelligence Technology ◽  
Grid Operation

At present, the development of energy system tends to be clean and intelligent. China has upgraded the development of smart energy to national strategy. As the core link of energy system, power system is widely used, with strong regulation ability and complex control, especially with the increasing proportion of new energy and various forms of consumption. Now the power system presents the characteristics of complex nonlinearity, strong uncertainty and strong coupling. There are many limitations in traditional modeling, optimization and control technology, and artificial intelligence technology will be an effective measure to solve the control and decision-making problems of complex system. Firstly, this paper analyzes the application prospect of artificial intelligence technology in power system and the application of artificial intelligence technology in power grid operation. It establishes the prediction model of power grid operation mode, the model can help operators of power system quickly adjust the power flow to convergence state, and then greatly improve the calculation efficiency of power grid operation mode.

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