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ConvLSTM-based real-time power flow estimation of smart grid with high penetration of uncertain PV considering measurement noise
(2024-04-01)
Senesoulin, Fanta
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Hongesombut, Komsan
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Ngamroo, Issarachai
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Dechanupaprittha, Sanchai
A modern smart grid tends to have increasingly various uncertain renewable generations. Due to different geographical areas and network topology constraints, operations of a smart grid become complicated and challenging. Moreover, using existing methods, power flow estimation in real-time could be time-consuming and computationally expensive. This paper proposes an efficient deep learning approach to estimate real-time power flow solutions of the smart grid with high penetration of uncertain PV generations using synchrophasor data considering measurement noise. The performance and effectiveness of the proposed convolutional long short-term memory (ConvLSTM) with time-series cross-validation technique are examined using synchrophasor data with Gaussian noise in the IEEE 39 bus test system. The proposed ConvLSTM approach shows better robust performance than weighted least square (WLS) state estimation and long short-term memory (LSTM) approaches. In addition, state measurements and confidence intervals are employed to confirm the accuracy of estimated real-time power flow results. The accurate real-time power flow estimation is crucial to determining dynamic available transfer capability (ATC) results and efficient operations of smart grids.
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Estimation of dominant power oscillation modes based on ConvLSTM approach using synchrophasor data and cross-validation technique
(2022-09-01)
Senesoulin, Fanta
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Ngamroo, Issarachai
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Dechanupaprittha, Sanchai
This paper proposes a deep neural network approach considering performance-based cross-validation and confidence interval analysis to estimate a power system's dominant power oscillation modes. Due to increased electricity demands, power utilities implement various generation sources in their power systems. Accordingly, a modern power system is increasingly complex as a multi-area and multi-machine power system. The electromechanical oscillation modes arise inevitably. Moreover, a major-unexpected event could excite weakly damped power oscillation modes and cause power system instability. The estimation of dominant power oscillation modes is significant for power system monitoring and control. A fast computing time of such modes estimation is essential for further actions. This paper applies the convolutional long short-term memory 2-dimension (ConvLSTM2D) approach to estimate dominant oscillation modes based on synchrophasor data. The proposed ConvLSTM2D approach provides precise estimation with a great opportunity to avoid a forced power system outage. The simulation results of the ConvLSTM2D approach show better accuracy of the dominant power oscillation modes estimated in comparison with the state-of-the-art algorithms (SOTA), i.e., long short-term memory (LSTM), gated recurrent unit (GRU), and hybrid convolutional neural networks-long short-term memory (CNN-LSTM) algorithms. The proposed approach is a systematic approach that can be adaptively improved over time. In addition, the proposed approach can be further applied to wide-area monitoring considering the stability margin of a transmission system.
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EVs Charging Power Control Participating in Supplementary Frequency Stabilization for Microgrids: Uncertainty and Global Sensitivity Analysis
(2021-01-01)
Jamroen, Chaowanan
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Ngamroo, Issarachai
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Dechanupaprittha, Sanchai
Electric vehicle (EV) potential has broadly been highlighted in providing ancillary services in a microgrid, such as grid reserve and regulation support. However, uncertain behaviors of EV charging raise crucial concerns for both the utilities and EV owners. In this paper, the impacts of EV charging uncertainties for EV charging power control participating in supplementary frequency stabilization are assessed separately based on the two perspectives, i.e., power capacity for the utility perspective and expected EV energy for the EV owner perspective. On the one hand, the power capacity accessed by the utility directly relates to the stabilization capability, which depends on the number of EVs that are willing to participate in the frequency stabilization program and the rated charging power of EV. On the other hand, the variance of expected EV energy realized by the EV owners is considered in terms of the remaining state of charge (SoC), energy capacity, and available charging time. Besides, a variance-based global sensitivity analysis (GSA) is essentially applied to identify the influential parameters of these uncertainties. The simulation studies are conducted using a microgrid environment via DIgSILENT Powerfactory software to reveal such impacts of EV charging uncertainties based on the two perspectives. The results indicate that the number of participating EVs is the most influential parameter for frequency stabilization capability, followed by the rated charging power of EV. From the EV owner's perspective, the energy capacity is the dominant parameter affecting the expected EV energy variance, followed by the remaining energy and available charging time.
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GPS synchronized phasor measurement units-based wide area robust PSS parameters optimization
(2011-01-01)
Nandar, Cuk Supriyadi Ali
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Ngamroo, Issarachai
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Dechanupaprittha, Sanchai
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Watanabe, Masayuki
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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.
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Wide-area robust SMES controller design using synchronized PMUS for stabilization of interconnected power system with wind farms
(2010-01-01)
Ngamroo, Issarachai
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Nanda, Cuk Supriyadi Ali
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Dechanupaprittha, Sanchai
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Watanabe, Masayuki
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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.
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A robust SMES controller design for stabilization of inter-area oscillations based on wide area synchronized phasor measurements
(2009-12-01)
Ngamroo, Issarachai
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Ali Nanda, Cuk Supriyadi
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Dechanupaprittha, Sanchai
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Watanabe, Masayuki
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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.
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Power oscillation suppression by robust SMES in power system with large wind power penetration
(2009-01-01)
Ngamroo, Issarachai
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Cuk Supriyadi, A. N.
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Dechanupaprittha, Sanchai
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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.
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Design and analysis of robust SMES controller for stability enhancement of interconnected power system taking coil size into consideration
(2009-01-01)
Dechanupaprittha, Sanchai
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Sakamoto, Naotoshi
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Hongesombut, Komsan
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Watanabe, Masayuki
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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.
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A practical design of a fuzzy SMES controller based on synchronized phasor measurement for interconnected power systems
(2008-04-23)
Dechanupaprittha, Sanchai
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Hongesombut, Komsan
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Watanabe, Masayuki
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Mitani, Yasunori
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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.
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Dynamic event analysis using synchronized PMUs via 220 V wall outlets
(2007-12-01)
Ngamroo, Issarachai
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Lappanakul, Panlert
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Voraphonpiput, Nitus
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Dechanupaprittha, Sanchai
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Mitani, Yasunori
This paper presents the dynamic analysis results of a system event in Thailand power network using a wide-area monitoring system based on synchronized phasor measurement units (PMUs). The salient feature of the proposed monitoring system is the convenient installation of PMU at 220V wall power outlets. The event considering here is a 80 MW load transferring from Thailand to Malaysia systems through a weak 115 kV tieline. To perform load transferring, a synchronization between both systems is required. This causes a problem of frequency oscillation in a southern area of Thailand. Besides, this event severely excites the inter-area oscillation in a 230 kV tie-line between central and southern areas of Thailand. Analyzed results based on discrete wavelet decomposition and short-time Fourier Transform provide valuable information of the system dynamic behavior in both frequency and time domains. © 2007 RPS.

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