Dynamic analysis of generation control performance standards

Sasaki, Tetsuo; Enomoto, K.

doi:10.1109/tpwrs.2002.800946

Cited by 41 publications

(5 citation statements)

References 3 publications

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“…Mohanty et al [17] presented the LFC of multisource power systems incorporating hydro, gas, and nuclear with the thermal system. The North American Electric Reliability Corporation standard was adapted by Sasaki and Enomoto [18] for the Japanese energy system and assessed the LFC scheme's compliance with these standards. The above studies considered the conventional methods for LFC application with centralized control.…”

Section: Literature Reviewmentioning

confidence: 99%

Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller

Irudayaraj

Wahab

Veerasamy

et al. 2023

IET Renewable Power Gen

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The emergence of micro‐sources in the energy market to reduce carbon emissions and exploit more renewable generations increases the frequency oscillations of the system. Hence, this paper attempts to develop a robust nonlinear fractional order proportional integral derivative (NLFOPID) controller for frequency regulation of restructured energy systems. A hybrid atom search‐particle swarm optimization (AS‐PSO) is proposed to optimize the gain values of the NLFOPID controller. The proposed control approach enhances flexibility by providing robustness against the RE intermittency. The optimization technique is coded in MATLAB and applied for frequency regulation of a multi‐area energy system developed in Simulink. Initially, the effectiveness of the hybrid algorithm is validated for standard benchmark functions and then implemented for frequency control. The results demonstrate that the proffered AS‐PSO technique performs significantly for various types of transactions in a deregulated energy market than state‐of‐the‐art. The real‐time applicability of the proposed controller is validated using hardware‐in‐the‐loop simulation of the open energy market in OPAL‐RT. The frequency response obtained from the AS‐PSO optimized NLFOPID controller is remarkable compared to other techniques. Furthermore, the closed‐loop stability of the system is examined using bode analysis through an improved Oustaloup approximation technique.

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Section: Literature Reviewmentioning

confidence: 99%

Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller

Irudayaraj

Wahab

Veerasamy

et al. 2023

IET Renewable Power Gen

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“…Consequently, the Q-function of the th agent for all state-action pairs can be updated as follows: (5) where is the learning factor. In the iterative learning process, the updated Q-function expresses the agent's expected rewards by taking the joint action at the current state with the optimal CE strategy thereafter [25].…”

Section: Ceq Algorithmmentioning

confidence: 99%

Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

Wang

Zhou

et al. 2015

IEEE Trans. Power Syst.

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This paper proposes an optimal coordinated control methodology based on the multi-agent reinforcement learning (MARL) for the multi-area smart generation control (SGC) under the control performance standards (CPS). A new MARL algorithm called correlated Q(λ) learning (CEQ(λ)) is presented to form an optimal joint equilibrium strategy for the coordinated load frequency control of interconnected control areas, and a SGC framework is proposed to facilitate information sharing and strategic interaction among multi-areas so as to enhance the overall long-run performance of the control areas. Furthermore, a novel time-varying equilibrium factor is introduced into the equilibrium selection function to identify the optimum equilibrium policies in various power system operation scenarios. The performance of CEQ(λ) based SGC strategy has been fully tested and benchmarked on a two-area power system and the China Southern Power Grid. Comparative studies have not only demonstrated the superior equilibrium optimization and dynamic performance of the proposed SGC strategy but also confirmed its fast convergence and high flexibility in designing the equilibrium factor for the desirable operating state of correlated equilibria.

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“…1 t is the moment at the instruction start. In practice, there will be fluctuations in the generator power, so can not let the first point of the power of generators which began to change as a sign.…”

Section: The International Conference On Advanced Power System Automamentioning

confidence: 99%

“…The deviation of the frequencies and tie-line power arise because of unpredictable load variations, which occur due to a mismatch between the generated and the demanded power. The main objective of providing an Automatic Generation Control (AGC) has been to maintain the system frequency at nominal value and the power interchange between different areas at their scheduled values [1][2].…”

Section: Introductionmentioning

confidence: 99%

The online estimating system for the units of automatic generation control

Luo

Feng

et al. 2011

2011 International Conference on Advanced Power System Automation and Protection

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Automatic Generation Control (AGC) has been to maintain the system frequency at nominal value and the power interchange between different areas at their scheduled values. North American Electric Reliability Council (NERC) released control performance standards of the control area in 1997, CPS1 and CPS2 which assess the effectiveness of AGC of each control area for maintaining the net interchange and interconnection frequency at their scheduled values. However, the performance standards are not suit for a single AGC unit that is also critical for the power dispatch. There is few system of online estimating system for each AGC unit. In this paper, propose a method that can estimate the rate of adjustment, the accuracy of adjustment, the response time of AGC units by apply the online unit parameter estimating using the real-time data of SCADA, and the online estimating system be applied to a real-time monitoring system in Liaoning Grid. The result shows that the online estimating system can estimate accurately the rate of adjustment, the accuracy of adjustment, and the response time of AGC units. It will improve the AGC performance, and the good frequency quality and the safety of power system.Keywords Automatic generation control, the online estimating system, the rate of adjustment, the accuracy of adjustment, the response time ___________________________________ 978-1-4244-9621-1/11/$26.00 ©2011 IEEE

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Dynamic analysis of generation control performance standards

Cited by 41 publications

References 3 publications

Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller

Decentralized frequency control of restructured energy system using hybrid intelligent algorithm and non‐linear fractional order proportional integral derivative controller

Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids

The online estimating system for the units of automatic generation control

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