A Comparison of LMI and GA Based Robust Controller Designs for VSC HVDC

Durrant, Martyn; Werner, Herbert; Abbott, K.

doi:10.1109/cdc.2006.377807

Cited by 5 publications

(7 citation statements)

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“…In this section, control performance of CBAS algorithm in hybrid AC/VSC-HVDC system integrated with DFIG is compared to that of manual tuning, particle swarm optimization (PSO) algorithm [36], GA [37], and BAS algorithm [29] under the above cases. Note that all approaches are executed in 10 independent runs to acquire statistical results and convergence graphs [38,39], while the best solutions are used as the optimal gains.…”

Section: Case Studiesmentioning

confidence: 99%

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Jiang¹,

Huang²,

Zhang³

et al. 2020

PLoS ONE

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Nowadays, with the significant integration of various renewable energy, hybrid alternating current/ voltage source converter based high voltage direct current (AC/VSC-HVDC) system integrated with doubly-fed induction generator (DFIG) has achieved rapidly development in smart grid. A proper control system design for hybrid AC/VSC-HVDC system plays a very crucial role for a reliable and effective power transmission. Hence, this paper designs a novel cooperative beetle antenna search (CBAS) algorithm for optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG. Compared with original beetle antennae search (BAS) algorithm, CBAS algorithm can significantly improve searching efficiency via an efficient cooperation with a group of multiple beetles instead of a single beetle. Particularly, CBAS algorithm can effectively escape from local optimums thanks to its dynamic balance mechanism, which can maintain appropriate trade-off between global exploration and local exploitation. Moreover, three case studies are undertaken to validate the effectiveness and superiorities and effectiveness of CBAS algorithm compared against that of other traditional meta-heuristic algorithms. Especially, the average results of fitness function acquired by CBAS algorithm is merely 46.05%, 41.18%, and 47.82% of that of PSO, GA, and BAS algorithm, respectively.

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Section: Case Studiesmentioning

confidence: 99%

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Jiang¹,

Huang²,

Zhang³

et al. 2020

PLoS ONE

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show abstract

“…The robustness is tested during the design by changing parameters of the two AC systems. Note that the AC parameters can be expected to vary during the operation because of different topologies and loading [3,8], whereas the DC system parameters are typically constant. We change the rectifier and inverter AC system strength in a wide range 3 < SCL < 10 (corresponding to 2 < SCR < 6.6) by changing R ACSR,I and L ACSR,I in Fig.…”

Section: Fast Controller Designmentioning

confidence: 99%

“…[3][4][5] concentrate on decoupling the two controllers at each converter, from HVDC system viewpoint this is a "local approach" since it neglects the DC line dynamics and the interactions between the two converters.…”

Section: Vsc Transmission Controller Structurementioning

confidence: 99%

“…[5] discusses the shortcomings of current measurement lag and further improves decoupling controller using an inner predictive control loop (for a UPFC test system). The possible issues with controllers [3][4][5] [3].…”

Section: Introductionmentioning

confidence: 99%

“…[3,4] propose a method for controlling VSC transmission based on a decoupling controller at each converter station. These methods use fast-feedback to linearise, decouple and simplify the feedback dynamics for d and q axis currents.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Control system design for VSC transmission

Jovcic

Lamont

Abbott³

2007

Electric Power Systems Research

Self Cite

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Robust H₂ nonlinear fuzzy decentralized control design for a VSC‐HVDC link

Ngo,

Kamal,

Marinescu

et al. 2024

Adv Control Appl

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SummaryA Robust Nonlinear Fuzzy Decentralized Controller ( RNFDC) is proposed to improve the overall robustness and tracking ability of a VSC‐HVDC link. The studied system is considered as composed by two overlapping nonlinear subsystems. The nonlinear interaction between the two subsystems is treated as a disturbance rejection problem by fuzzy control techniques. First, the Takagi Sugeno (TS) fuzzy model is adopted for fuzzy modeling of the uncertain nonlinear system. Next, new stability conditions for a generalized class of uncertain HVDC systems are derived from robust control techniques based on Linear Matrix Inequalities (LMIs). The design method employs the so‐called Parallel Distributed Compensation (PDC) to obtain RNFDC gains based on LMIs.The efficiency and robustness of the proposed controllers are analytically proven and tested through validation simulations. The main contributions of this paper are: (i) resilience: in case of failure of one converter or loss of measures or controls, the control of the other converter is not affected; (ii) robustness is improved in order to provide good responses in case of network variations and HVDC line parameters changes; (iii) fuzzy techniques are adopted to handle nonlinearities and changes of operating conditions. The proposed RNFDC is compared with Fuzzy H Decentralized State Feedback Control ( NFDC) and Linear Decentralized Control ( LDC) in simulation to illustrate the control synthesis and its effectiveness.

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A Comparison of LMI and GA Based Robust Controller Designs for VSC HVDC

Cited by 5 publications

References 10 publications

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Control system design for VSC transmission

Robust H₂ nonlinear fuzzy decentralized control design for a VSC‐HVDC link

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A Comparison of LMI and GA Based Robust Controller Designs for VSC HVDC

Cited by 5 publications

References 10 publications

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Optimal coordinated control of hybrid AC/VSC-HVDC system integrated with DFIG via cooperative beetle antennae search algorithm

Control system design for VSC transmission

Robust H2 nonlinear fuzzy decentralized control design for a VSC‐HVDC link

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Robust H₂ nonlinear fuzzy decentralized control design for a VSC‐HVDC link