KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Search Results

Now showing 1 - 10 of 17

Some of the metrics are blocked by your
consent settings
Small-Signal Stability Enhancement Through Integration of Distributed Grid-Forming Loads Considering Multi-Agent Collaboration
(2025-01-01)
Ngamroo, Issarachai
;
Surinkaew, Tossaporn
;
Mitani, Yasunori
The integration of distributed controllable loads in future islanding microgrids (MGs) is growing. This creates new opportunities to actively shape grid frequency and voltage. As a result, it leads to the development of distributed grid-forming loads (DGFM-Ls). Simultaneously, it is equally crucial to ensure robustness, particularly in preserving small-signal stability amid the multi-agent collaboration. This paper presents a strategy for the small-signal stability enhancement in islanding MGs with DGFM-Ls. The small-signal models of the MG with DGFM-Ls are mathematically developed and analyzed. The multi-agent cooperation is modelled to improve the small-signal stability of the MG with DGFM-Ls. Additionally, uncertainties from multi-agent cooperation, such as partial or complete lack of measured signal observability, are considered. Data quality issues are also taken into account under various conditions. Simulation results are conducted in a MG with a significant penetration of inverter-based resources under various MG operating points and conditions such as topology changes and unavailability of certain agents.
Some of the metrics are blocked by your
consent settings
Intelligence-Driven Grid-Forming Converter Control for Islanding Microgrids
(2025-01-01)
Ngamroo, Issarachai
;
Surinkaew, Tossaporn
;
Mitani, Yasunori
In modern microgrids (MGs) with high penetration of distributed energy resources (DERs), system reconfiguration occurs more frequently and becomes a significant issue. Fixed-parameter controllers may not handle these tasks effectively, as they lack the ability to adapt to the dynamic conditions in such environments. This paper proposes an intelligence-driven grid-forming (GFM) converter control method for islanding MGs using a robustness-guided neural network (RNN). To enhance the adaptability of the proposed method, traditional proportional-integral controllers in the GFM primary control loops are entirely replaced by the RNN. The RNN is trained by a robustness-guided strategy to replicate their robust behaviors. All the training stages are purely data-driven methods, which means that no system parameters are required for the controller design. Consequently, the proposed method is an intelligence-driven modelless GFM converter control. Compared with traditional methods, the simulation results in all testing scenarios show the clear benefits of the proposed method. The proposed method reduces overshoots by more than 71.24%, which keeps all damping ratios within the stable region and provides faster stabilization. In comparison to traditional methods, at the highest probability, the proposed method improves damping by over 14.7% and reduces the rates of change of frequency and voltage by over 59.97%. Additionally, the proposed method effectively suppresses the interactions between state variables caused by inverter-based resources, with frequencies ranging from 1.0 Hz to 1.422 Hz. Consequently, these frequencies contribute less than 19.79% To the observed transient responses.
Some of the metrics are blocked by your
consent settings
Inertia Assessment From Transient Measurements: Recent Perspective From Japanese WAMS
(2022-01-01)
Kerdphol, Thongchart
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
Currently, the substantial renewable penetration brings a low inertia issue to the Japanese power system, threatening stability and resiliency than ever. The inertia estimation based on transient events provides a reliable basis for system control and operation. However, the poor rate of change of frequency extraction from different types and locations of phasor measurement units (PMUs) could significantly lead to inertia estimation errors. As a remedy with a lesson learned, this paper analyzes effective inertia estimations based on transient measurements of the Japanese wide-area monitoring in both distribution and transmission levels. Due to the longitudinally interconnected configuration of the 60 Hz Japanese power system, the polynomial approximation technique is proposed to restrain the strong effect of oscillatory components. To enhance the estimation performance considering an existing center of inertia, the comprehensive mode-shape analysis is performed via geographical measurement locations, indicating sufficient PMUs with precise estimation. The effectiveness of inertia estimation techniques is verified through actual system events corresponding to various transient sites. The numerical results demonstrate that recent inertia of the 60 Hz Japanese system with existing renewables ranges around 7.12 - 8.13 s in its system load base.
Some of the metrics are blocked by your
consent settings
Small-signal analysis of multiple virtual synchronous machines to enhance frequency stability of grid-connected high renewables
(2021-04-01)
Kerdphol, Thongchart
;
Rahman, Fathin Saifur
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Hongesombut, Komsan
The virtual synchronous machine technology is considered as an important technique to effectively control the shortcomings of renewable energy-based power electronics interfaces, providing backup inertia and regulating grid stability. Conventionally, the virtual synchronous machine with a large capacity is responsible for controlling the entire grid stability against renewable penetration. It is usually operated as a centralised control system. But what if virtual synchronous machines with small capacities are independently operated by their additional droop control schemes, and will they present better performance than the single virtual synchronous machine? This study proposes the multiple virtual synchronous machine system with different active power-frequency (P-f) droop characteristics to improve inertia support regarding frequency stability improvement. The comprehensive small-signal modelling of the multiple virtual synchronous machine unit is designed to include the additional P-f droop characteristics. Then, the dynamic characteristics (steady-state and transient responses) and static stability of the multiple virtual synchronous machines are compared with the single virtual synchronous machine at the same rated capacity in both eigenvalue/sensitivity-domain and time-domain analysis. The obtained results reveal that the system with the presence of several virtual synchronous machines is more stable than the system with single virtual synchronous machine, maintaining stable and secure system operation during the contingency.
Some of the metrics are blocked by your
consent settings
GPS synchronized phasor measurement units-based wide area robust PSS parameters optimization
(2011-01-01)
Nandar, Cuk Supriyadi Ali
;
Ngamroo, Issarachai
;
Dechanupaprittha, Sanchai
;
Watanabe, Masayuki
;
Mitani, Yasunori
This paper proposes an optimization method of wide area robust power system stabilizer (PSS) using global positioning system (GPS) synchronized phasor measurement units (PMUs). Assuming multiple PMUs are located in an interconnected power system, the steady-state phasor data are obtained by applying the small load perturbation. Based on the phasor data, the coupled vibration model (CVM) included with the PSS can be established and applied to estimate the dominant inter-area oscillation modes. In the robust PSS (RPSS) optimization, unstructured system uncertainties such as various generating and loading conditions, variation of system parameters etc. are represented by the inverse additive perturbation and included in the CVM. To enhance the system robust stability margin, the optimization of PSS parameters is carried out in the CVM. The genetic algorithm (GA) is applied to solve the problem and achieve the PSS parameters automatically. Simulation studies in the IEEJ Western Japan 10-machine power system confirm that the robustness of the proposed PSS is much superior to that of the compared PSS against various operating conditions and fault locations. © 2010 John Wiley & Sons, Ltd.
Some of the metrics are blocked by your
consent settings
Wide-area robust SMES controller design using synchronized PMUS for stabilization of interconnected power system with wind farms
(2010-01-01)
Ngamroo, Issarachai
;
Nanda, Cuk Supriyadi Ali
;
Dechanupaprittha, Sanchai
;
Watanabe, Masayuki
;
Mitani, Yasunori
The high penetration of wind power into interconnected power system may cause the severe problem of inter-area oscillations. To stabilize power oscillations, superconducting magnetic energy storage (SMES), which is capable of controlling active and reactive powers simultaneously, can be applied. To achieve the practical SMES controller design, this paper focuses on a robust SMES controller design based on wide-area synchronized phasor measurement units (PMUs) in an interconnected power system with wind farms. The structure of active and reactive power controllers of SMES is the first-order lead/lag compensator. Assuming that multiple PMUs are located in an interconnected power system, the steady-state phasor data are obtained by applying the small load perturbation. Using the phasor data, the simplified oscillation model (SOM) included with SMES power controllers can be identified and applied to estimate the dominant inter-area oscillation modes. In the design, unstructured system uncertainties such as various operating conditions, system parameters variation, random wind patterns, etc., are represented by the inverse additive perturbation. To enhance the system robust stability margin, the optimization of SMES control parameters is solved by genetic algorithm in the SOM. Simulation studies in the West Japan six-machine power system confirm that the robustness of the proposed SMES is much superior to that of the conventional SMES against various operating conditions. © 2010 Institute of Electrical Engineers of Japan.
Some of the metrics are blocked by your
consent settings
A robust SMES controller design for stabilization of inter-area oscillations based on wide area synchronized phasor measurements
(2009-12-01)
Ngamroo, Issarachai
;
Ali Nanda, Cuk Supriyadi
;
Dechanupaprittha, Sanchai
;
Watanabe, Masayuki
;
Mitani, Yasunori
This paper proposes a robust power controller design of superconducting magnetic energy storage (SMES) based on wide area synchronized phasor measurement units (PMUs) for stabilization of inter-area oscillation. The structure of active and reactive power controllers of SMES is the first-order lead/lag compensator. Assuming multiple PMUs are located in an interconnected power system, the steady state phasor data are obtained by applying the small load perturbation. Using the phasor data, the simplified oscillation model (SOM) included with SMES power controllers can be identified and applied to estimate the dominant inter-area oscillation modes. In the robust control design, unstructured system uncertainties such as various operating conditions, system parameters variation, etc., are represented by the inverse additive perturbation and included in the SOM. To enhance the system robust stability margin, the optimization of SMES control parameters is solved by genetic algorithm in the SOM. Simulation studies in the West Japan 6-machine power system confirm that the robustness of the proposed SMES is much superior to the conventional SMES against various operating conditions and fault locations. © 2009 Elsevier B.V. All rights reserved.
Some of the metrics are blocked by your
consent settings
Power oscillation suppression by robust SMES in power system with large wind power penetration
(2009-01-01)
Ngamroo, Issarachai
;
Cuk Supriyadi, A. N.
;
Dechanupaprittha, Sanchai
;
Mitani, Yasunori
The large penetration of wind farm into interconnected power systems may cause the severe problem of tie-line power oscillations. To suppress power oscillations, the superconducting magnetic energy storage (SMES) which is able to control active and reactive powers simultaneously, can be applied. On the other hand, several generating and loading conditions, variation of system parameters, etc., cause uncertainties in the system. The SMES controller designed without considering system uncertainties may fail to suppress power oscillations. To enhance the robustness of SMES controller against system uncertainties, this paper proposes a robust control design of SMES by taking system uncertainties into account. The inverse additive perturbation is applied to represent the unstructured system uncertainties and included in power system modeling. The configuration of active and reactive power controllers is the first-order lead-lag compensator with single input feedback. To tune the controller parameters, the optimization problem is formulated based on the enhancement of robust stability margin. The particle swarm optimization is used to solve the problem and achieve the controller parameters. Simulation studies in the six-area interconnected power system with wind farms confirm the robustness of the proposed SMES under various operating conditions. © 2008 Elsevier B.V. All rights reserved.
Some of the metrics are blocked by your
consent settings
Design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration
(2009-01-01)
Dechanupaprittha, Sanchai
;
Sakamoto, Naotoshi
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
In power applications, efficiency and effectiveness of SMES with proper control are promising and highly remarkable, however, quite costly. Accordingly, optimum design and utilization are essentially needed. This paper presents the design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration. With lead/lag controller structure, parameters of robust SMES controller can be optimized by a metaheuristic method; meanwhile, a multiplicative uncertainty is included in the design to cope with system uncertainties. Lastly, aiming at achieving optimum design and utilization, robust controllers for SMES with different coil sizes are examined to investigate performance and robustness under different situations via simulation studies. © 2009 IEEE.
Some of the metrics are blocked by your
consent settings
A practical design of a fuzzy SMES controller based on synchronized phasor measurement for interconnected power systems
(2008-04-23)
Dechanupaprittha, Sanchai
;
Hongesombut, Komsan
;
Watanabe, Masayuki
;
Mitani, Yasunori
;
Ngamroo, Issarachai
Recently, fuzzy logic control has widely received attention in various power system applications, despite difficulties of obtaining its control rules and membership functions. Nowadays, power systems consist of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could hardly be achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on a wide area synchronized phasor measurement for enhancing the stability of an interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a simplified oscillation model for detection and assessment of an approximated inter-area oscillation mode. Finally, some simulation studies based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller. Copyright 2008 The Berkeley Electronic Press. All rights reserved.

KMITL

Browse

Filters

Settings

Sort By

Results per page

Search Results