Automatic generation control application with craziness based particle swarm optimization in a thermal power system

Gözde, Haluk; Taplamacıoğlu, M. Cengiz

doi:10.1016/j.ijepes.2010.08.010

Cited by 257 publications

(141 citation statements)

References 14 publications

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“…Thus, automatic generation control (AGC) [22][23][24] as the secondary control is responsible for frequency regulation, i.e. restore the frequency of the MG to its nominal value.…”

Section: Optimal Automatic Generation Controlmentioning

confidence: 99%

Fully distributed optimal automatic generation control for an islanded microgrids

Zang

Zeng

et al. 2016

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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Abstract-Microgrids (MGs) have been receiving more and more attention, as it can environmentally and reliably integrate intermittent renewable energy sources (RES). Conventionally, an islanded MG is controlled and optimized in a hierarchical strategy, i.e., primary droop control, second automatic generation control (AGC), and tertiary economic dispatch (ED). ED has large time-scale while AGC has small time-scale. Thus the gap between ED and AGC may decrease the economic efficiency of a MG. In this paper, a distributed optimal automatic generation control (OAGC) algorithm is proposed to integrate the gap between ED and AGC, i.e., the MG can realize AGC and ED at the same time. In order to implement the OAGC algorithm, each DG is assigned with an agent and the agents only require the local measurements and communicate with its neighbors. The proposed OAGC algorithm is fully distributed, which involves low costs related to modify the architecture of a MG and robust against single point failure. Simulation results demonstrate the effectiveness of the proposed algorithm.Index Terms--distributed algorithm, droop control, Microgrid, multi-agent system (MAS), optimal automatic generation control (OAGC).

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“…Thus, automatic generation control (AGC) [22][23][24] as the secondary control is responsible for frequency regulation, i.e. restore the frequency of the MG to its nominal value.…”

Section: Optimal Automatic Generation Controlmentioning

confidence: 99%

Fully distributed optimal automatic generation control for an islanded microgrids

Zang

Zeng

et al. 2016

2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

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“…There are several traditional methods that address the load frequency control such as integral, proportional-integral (PI) and proportional-integral-differential (PID) controllers. The performance of these controllers greatly depends on the controller parameter values [4]. The major issue with these controllers is disturbance attenuation or compensation.…”

Section: Introductionmentioning

confidence: 99%

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Tummala¹,

Inapakurthi²,

Ramanarao³

2018

J. Mod. Power Syst. Clean Energy

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With the global consciousness of climate change, renewable energy systems are prioritized over the conventional energy systems. The deep injection of renewables into the power systems is creating several challenges to the grid due to wide variations in their output power depending on the time of the day, weather etc. Of these challenges, frequency change plays a vital role in maintaining the power quality. This paper presents a novel sliding mode controller with non-linear disturbance observer to effectively mitigate the wide changes in the frequency. A sliding mode surface based on estimated disturbance along with states is designed. A sliding mode control law is proposed to compensate disturbances including variations in renewables, load and parameters under mismatched uncertainties. The proposed observer based controller is tested for three area multi-machine power system in MATLAB/Simulink. The simulated results proved to alleviate the frequency variations effectively compared to the conventional controllers.

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“…These features make load frequency control a time delayed, constrained, multivariable and multi-objective control problem. Many investigations in the area of power system LFC have been reported [2,4,[5][6][7][8]. Nearly all such previous studies neglected time delay and some important features of the LFC.…”

Section: Introductionmentioning

confidence: 99%

“…Two-degree-of-freedom Internal Model Control (IMC) method has been used in [4] for PID tuning of the LFC system. Application of Bacteria Foraging (BF) and craziness particle swarm optimizations (CPSO) to find PI gain controller have been proposed in [5] and [6], respectively. However, the effect of communication time delay has not been considered by these approaches.…”

Section: Introductionmentioning

confidence: 99%

Multivariable predictive control considering time delay for load-frequency control in multi-area power systems

Daniar

Shiroei

Aazami

2016

Archives of Control Sciences

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In this paper, a multivariable model based predictive control (MPC) is proposed for the solution of load frequency control (LFC) in a multi-area interconnected power system. The proposed controller is designed to consider time delay, generation rate constraint and multivariable nature of the LFC system, simultaneously. A new formulation of the MPC is presented to compensate time delay. The generation rate constraint is considered by employing a constrained MPC and economic allocation of the generation is further guaranteed by an innovative modification in the predictive control objective function. The effectiveness of proposed scheme is verified through time-based simulations on the standard 39-bus test system and the responses are then compared with the proportional-integral controller. The evaluation of the results reveals that the proposed control scheme offers satisfactory performance with fast responses.

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Automatic generation control application with craziness based particle swarm optimization in a thermal power system

Cited by 257 publications

References 14 publications

Fully distributed optimal automatic generation control for an islanded microgrids

Fully distributed optimal automatic generation control for an islanded microgrids

Observer based sliding mode frequency control for multi-machine power systems with high renewable energy

Multivariable predictive control considering time delay for load-frequency control in multi-area power systems

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