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Intelligent photovoltaic farms for robust frequency stabilization in multi-area interconnected power system based on PSO-based optimal Sugeno fuzzy logic control
(2015-02-01)
Sa-ngawong, Nattapol
;
Ngamroo, Issarachai
Currently, the grid-connected large PV farms are extensively installed in power systems. Nevertheless, in addition to the load change, the intermittent power output of PV farms may lead to the serious problem of the system frequency fluctuation. To handle this problem, this paper proposes a new design of Sugeno fuzzy logic controller based on particle swarm optimization (PSO-SFLC) of intelligent PV farms for the frequency stabilization in a multi-area interconnected power system. To handle various scenarios, the frequency deviations and solar insolations are used as input signals of the PSO-SFLC. The output signal of the PSO-SFLC is a command signal for adjusting PV output power. The output power of PV is controlled by the PSO-SFLC to meet the load demand so that the system frequency fluctuation can be suppressed. Without the difficulty of trial and error, the optimal input and output membership functions, and control rules of PSO-SFLC are automatically achieved by PSO. Simulation study in a three-area loop interconnected power system with large PV farms elucidates that the frequency stabilizing performance and robustness of the PV equipped with the PSO-SFLC is much superior to that of the PV with the SFLC and the PV with the maximum power point tracking control in scenarios with various solar insolations and loading conditions.
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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
;
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.
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Control of bifurcation by fuzzy logic controller for current-mode boost converters
(2007-12-01)
Khaehintung, Noppadol
;
Sirisuk, Phaophak
;
Kunakorn, Anantawat
This paper presents the design of a fuzzy logic controller for switching current-mode DC/DC boost converters. The proposed simple fuzzy logic controller, with nine rules, provides an optimal slope compensation to keep the system adequately remote from the first bifurcation point by means of reducing the current spectrum peak. In spite of nonlinear characteristics and instabilities of the converter, the performance of the closed-loop control system can be considerably improved to avoid bifurcation phenomena. It is found that the technique introduced in this paper gives satisfactory results with the regulating and tracking modes under changes in operating conditions. © 2006 IEEE.
2
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Implementation of fuzzy logic controller with bifurcation control of a current-mode boost converter
(2007-12-01)
Khaehintung, Noppadol
;
Sirisuk, Phaophak
;
Kunakorn, Anantawat
This paper presents the design of a basic fuzzy logic controller for switching current-mode DC/DC boost converters. The proposed simple fuzzy logic controllers used only nine rules to regulate output voltage. Moreover, they provide an optimal slope compensation to keep the system adequately remote from the first bifurcation point by mean of stabilizing around the reference signal. In spite of nonlinear characteristics and instabilities of the converter, the performance of the closed-loop control system can be considerably improved to avoid bifurcation phenomena. The experimental results found that these technique introduced in this paper give satisfactory results with the regulating and tracking modes under changes in operating conditions. © 2007 IEEE.
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A practical design of fuzzy SMES controller based on synchronized phasor measurement for interconnected power system
(2007-12-01)
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 system consists of multiple areas where load variations with abrupt changes always exist, and proper control rules and membership functions could be hardly achieved. This paper proposes a practical design of fuzzy logic controllers for superconducting magnetic energy storage (SMES) based on wide area synchronized phasor measurement for improving stability of interconnected power system. Moreover, a heuristic method is applied for determining control rules and membership functions. The estimated model is determined via a coupled vibration 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. © 2007 RPS.
1
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A heuristic-based design of fuzzy SMES controller for stabilization of interconnected power system
(2006-12-01)
Dechanupaprittha, S.
;
Mitani, Y.
;
Watanabe, M.
;
Hongesombut, K.
;
Ngamroo, I.
This paper presents a heuristic-based design of fuzzy logic controller for a superconducting magnetic energy storage (SMES) for stabilization of interconnected power system. Nowadays, a power system becomes complex due to increasing demand in electricity and power system network expansion. Subject to major disturbances, occurrence of power system oscillations is unavoidable. To alleviate the problem, the fuzzy SMES controller is applied in this paper. In particular, SMES has a simultaneous control scheme of active and reactive power. Moreover, the heuristic method, i.e. hybrid tabu search and evolutionary programming (Hybrid TS/EP) is employed to simultaneously optimize control rules and membership functions for fuzzy SMES controller. Consequently, the simulation results and evaluations based on a two-area four-machine power system are carried out to examine the performance and effectiveness of the designed fuzzy SMES controller.
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