Online Optimal Control of Reactive Sources in Wind Power Plants

Pham, Hoan Van; Rueda, José L.; Erlich, I.

doi:10.1109/tste.2013.2272586

Cited by 33 publications

(25 citation statements)

References 14 publications

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“…Only few references make explanation on simulation based on DIgSILENT and MATLAB and there was no research on wind farm modeling based on these two platforms [16][17][18][19][20][21][22], especially for large-scale wind farm, it is difficult to realize system 913 simulation because of large volume of data and complex logics. In order to take best advantages of DIgSILENT and MATLAB, this paper takes a typical wind farm (50MW, 33 sets of 1.5MW wind turbine) in China as example.…”

Section: System Modelingmentioning

confidence: 99%

A Method for Wind Farm Reactive Power Controlling using DIgSILENT and MATLAB

Hua¹,

Ma²,

Wei³

2018

dtcse

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In order to regulate the voltages of Point of Common Coupling (PCC) and single wind turbine in a wind farm, it is necessary to control the output of reactive power of wind turbines, and in some case, it also need to control static var compensators (SVCs) or static var generators (SVGs) of the wind farm to satisfy the voltage set-point requirement. The accuracy of reactive power control system decides the control level of grid voltage. In order to improve the accuracy, this paper introduces modeling and simulation method of wind farm reactive power control system using DIgSILENT  and MATLAB . At first, it introduces the modeling process and co-calling principle of the two kinds of software tools, and then emphasizes that it develops a kind of advanced wind farm reactive power control logic to realize control accuracy improvement in MATLAB, whereas the power quality and distribution logic of reactive power among wind turbines are simulated and assessed. In the end, taking an Inner Mongolia wind farm with 33 double-fed wind turbines as a test application, the wind farm reactive power control model is verified by comparing real wind farm operating data and simulation results, and the result shows that the accuracy of reactive power control system is higher than traditional method.

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Section: System Modelingmentioning

confidence: 99%

A Method for Wind Farm Reactive Power Controlling using DIgSILENT and MATLAB

Hua¹,

Ma²,

Wei³

2018

dtcse

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“…The evolutionary loop is performed until a specified termination criterion is met (e.g. maximum number of function evaluations) [12]. The different stages of MVMO-based procedure are presented in the following paragraphs.…”

Section: A Optimization Problem Statementmentioning

confidence: 99%

“…However the classical optimization algorithms, such as gradient-based algorithms, described in [8]- [10], struggle with non-linearity and nonconvexity of the problem, which is also characterized by discontinue and multimodal landscape [11]. Conclusively, the classical optimization tools are not flexible to be applied in a complex search space and are sensitive to the initial points as well [12]. Classical heuristic optimization algorithms, like genetic algorithms, particle swarm optimization, differential evolution, and evolutionary strategies, constitute alternative tools to tackle the above indicated optimization problems.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, due to their population based search framework, these algorithms are not suitable for online applications, in which it is crucial to find optimal solutions within very reduced computing budget. For avoiding unwanted occurrences, such as local stagnation or premature convergence, this reliance should be taken into consideration [12], [11]. As a result, nowadays, the research interest focus on new metaheuristic solutions, such as mean-variance mapping optimization (MVMO) [13], linearized biogeography-based optimization (LBBO) [14], firework algorithm (FWA), firefly algorithm (FA) cuckoo search (CS) [15], bat algorithm (BA) [16] and teachinglearning-based optimization (TLBO) [17], which, due to their conceptual simplicity, can be easy adapted without significant modifications.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal management of reactive power sources in far-offshore wind power plants

Theologi

Ndreko

Rueda

et al. 2017

2017 IEEE Manchester PowerTech

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“…The fourth category [81][82][83][84][85][86][87][88][89][90][91][92] is wind farm integration with the grid and use of HVDC for off grid wind farms. The final and fifth category [93][94][95][96][97][98][99][100][101][102] specifies reactive power management with other works say use of the control algorithm, primary voltage converter, secondary voltage converter, controllers, etc., however, some publications include more than one category and have been classified based on their dominant field.…”

mentioning

confidence: 99%