Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm

Long, Qian; Yu, Hui; Xie, Fuhong; Xie, Ning; Lubkeman, David

doi:10.1109/tsg.2020.3026617

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…According to the neural network theory, BP network is suitable for solving the approximation problem, and RBF network is suitable for solving the classification and evaluation problem. Since the problem to be solved in the research is to establish the evaluation method of course teaching effect, RBF neural network is selected as the evaluation model, and RBF network is trained based on the improved L-M algorithm [15,16].…”

Section: Classification Of Evaluation Gradementioning

confidence: 99%

Evaluation Method of Advanced Mathematics Teaching Reform Effect Based on Big Data Analysis Technology

Chen

2022

Advances in Multimedia

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In order to promote the teaching reform, deepen the professional construction, innovate the talent training mode and course teaching mode, improve teachers’ advanced vocational education teaching design ability and teaching level, and promote the connotation construction of higher vocational colleges, an evaluation method of higher mathematics teaching reform effect based on big data analysis technology is proposed. In the research, the teaching status of advanced mathematics courses and the problems existing in teaching are firstly analyzed and studied. Then, on the basis of comprehensive analysis of various influencing factors of course teaching effect evaluation, a set of two-level index system with a total of 25 indicators is established. The results verify the rationality of these indicator settings. Finally, combined with the real historical data of the teaching evaluation effect of a private college, the validity of the proposed model is verified. The experimental results show that the 530 sample data of the course are submitted to the RBF network for the training, and the network converges after 3385 iterations. Among all 100 test samples, the maximum test error is 0.0513, of which 92 samples are judged correct, 7 samples are judged as excellent, and 3 samples are judged as medium. Therefore, the evaluation accuracy rate of the RBF network is as high as 92%. It is concluded that this method provides a new way to evaluate the teaching effect of the course objectively and impartially.

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Section: Classification Of Evaluation Gradementioning

confidence: 99%

Evaluation Method of Advanced Mathematics Teaching Reform Effect Based on Big Data Analysis Technology

Chen

2022

Advances in Multimedia

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“…Numerous studies have used this model for transient simulations and have reported their model parameter values [12]- [19]. Now, numerous dynamic simulations of diesel electric generators have implemented simplified diesel genset models, often containing only one or two first-order transfer functions to simulate the complete diesel electric generator system [20]- [22]. These simplified models neglect significant dynamics, such as stator, field, damper winding, saturation, and diesel engine and fuel flow dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…These simplified models neglect significant dynamics, such as stator, field, damper winding, saturation, and diesel engine and fuel flow dynamics. Also, the diesel electric generator considered in [22] had a capacity of 16 kVA. Diesel electric generators operating in remote islanded microgrids in Alaska or other Arctic regions and island nations are on the scale of hundreds of kVA.…”

Section: Introductionmentioning

confidence: 99%

“…The whale optimization heuristic algorithm was used in [27]; however, the authors of this work have only tuned the parameters based on active and reactive power response and neglected the voltage and frequency response. The Box-Constrained Levenberg-Marquardt algorithm was used by the authors of [22] that fits the frequency and voltage responses, but neglects the fitting of active and reactive power response of the diesel electric generator. A limitation of the Levenberg-Marquardt algorithm is that it requires a reasonable initial estimate of the parameters, and failure to do so affects the algorithm's convergence to optimal values.…”

Section: Introductionmentioning

confidence: 99%

“…A limitation of the Levenberg-Marquardt algorithm is that it requires a reasonable initial estimate of the parameters, and failure to do so affects the algorithm's convergence to optimal values. The authors of [22] used a genetic algorithm to generate reasonable initial estimates for the Levenberg-Marquardt optimization algorithm. Using two stage optimization algorithms makes the parameter identification process computationally intensive.…”

Section: Introductionmentioning

confidence: 99%

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High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies

et al. 2022

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Diesel electric generators are an inherent part of remote hybrid microgrids found in remote regions of the world that provide primary frequency response (PFR) to restore system frequency during load or generation changes. However, with inverter-based resources (IBR) integration into microgrids, the IBR control provides a fast frequency response (FFR) to restore the system frequency. Hence, supplementing PFR with FFR requires a sophisticated control system and a high fidelity diesel electric generator model to design these control systems. In this work, a high-fidelity model of a diesel electric generator is developed. Its parameters are tuned using a surrogate optimization algorithm by emulating its response during a load change to a 400 kVA Caterpillar C-15 diesel generator, similar to those found in remote microgrids. The diesel electric generator model consists of a synchronous machine, DC4B excitation with V/Hz limiter, and a proposed modified IEEE GGOV1 engine-governor model (GGOV1D). The performance of the GGOV1D is compared with simple, Woodward DEGOV, and a standard IEEE GGOV1 engine-governor model. Results show that error in the diesel electric generator's response to load changes using the GGOV1D model is lower with an improved frequency response during the arresting and rebound period than the other enginegovernor models.INDEX TERMS Diesel generator modeling, diesel governor, power system dynamics, power system stability, frequency stability, model parameterization, microgrid.

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A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

Tsuji

2023

IEEJ Transactions Elec Engng

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Frequency regulation is an important issue in isolated microgrids with inertia‐less variable renewable energy sources such as wind turbines (WTs) or photovoltaics (PVs) due to the small inertia of the overall system. Synthetic inertia control (SI) using the kinetic energy of WT can provide the microgrid with virtual inertia to mitigate frequency fluctuations. In order to improve the performance of SI, the authors have proposed an asymmetric synthetic inertia control (ASI) in which the virtual moment of inertia is alternating depending on the system frequency and the rate of change of frequency. By increasing the control gain only when the system frequency is moving away from the nominal value, it is expected that ASI contributes to the faster convergence of frequency control. However, another issue is interference between ASI and the rotational speed control for maximum power point tracking of WT. Hence, in this study, a coordinated frequency and rotational speed control strategy was proposed. The rotational speed control can be activated based on a mode‐switching logic when the interference does not occur. The effectiveness of the proposed control strategy was verified by numerical simulations using a microgrid model consisting of diesel engine generators, WTs, a photovoltaic, and a load. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

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Diesel Generator Model Parameterization for Microgrid Simulation Using Hybrid Box-Constrained Levenberg-Marquardt Algorithm

Cited by 14 publications

References 19 publications

Evaluation Method of Advanced Mathematics Teaching Reform Effect Based on Big Data Analysis Technology

Evaluation Method of Advanced Mathematics Teaching Reform Effect Based on Big Data Analysis Technology

High-Fidelity Model of Stand-Alone Diesel Electric Generator With Hybrid Turbine-Governor Configuration for Microgrid Studies

A Coordinated Frequency Control in Microgrid Based on Asymmetric Synthetic Inertia Considering Rotational Speed of Wind Turbine

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