Influence of energy storage device on load frequency control of an interconnected dual-area thermal and solar photovoltaic power system

Çelik, Emre; Öztürk, Nihat; Houssein, Essam H.

doi:10.1007/s00521-022-07558-x

Cited by 16 publications

(4 citation statements)

References 37 publications

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“…The optimum controller parameters obtained after 30 runs for 50 iterations using the RIME algorithm and the controller parameters proposed in BWOA-tuned PI [1], SSA-tuned PI [2], SFLA-tuned PI [3], FA-tuned PI [4] and GA-tuned PI [4] are given in Table 2. Performance indices such as 𝑆𝑇 (±0.1 𝐻𝑧 tolerance band for ∆𝑓 and ∆𝑓 and ±0.025 𝑀𝑊 tolerance band for ∆𝑃 ), 𝑂𝑆 and 𝑈𝑆 are considered while analysing the performance of the RIME-tuned PI controller used in the two-area hybrid PV-thermal power system under different scenarios.…”

Section: Compared Recent Approachesmentioning

confidence: 99%

“…To address this, Automatic Generation Control (AGC) is indispensable for coordinating electric power systems. AGC's primary function is to meticulously control tie line power and system frequency variation, ensuring adherence to predetermined limits [1], [2], thereby safeguarding power system stability and reliability against the adverse effects of frequency oscillations. As conventional energy sources deplete, renewable energy sources (RES) gain prominence.…”

Section: Introductionmentioning

confidence: 99%

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Automatic Generation Control of a Hybrid PV-Reheat Thermal Power System Using RIME Algorithm

Ekinci,

Can,

Ayas

et al. 2024

IEEE Access

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This study focuses on the automatic generation control (AGC) system, which is crucial for maintaining balance between power generation and demand in power systems. The implementation of the AGC system needs to be more precise due to the increasing uncertainty surrounding renewable energy sources (RESs) and changes in demand. The objective of this study is to investigate the AGC functions in a two-area hybrid power system that combines a PV system with a reheat thermal system. To improve system performance, we utilize a proportional-integral (PI) controller. We utilized a recently developed optimization method, RIME, for tuning controller parameters. This technique has not been studied before in AGC processes. Furthermore, the optimization procedure utilizes a modified version of the integral time-multiplied absolute error (ITAE) objective function. The study compares the performance of the RIME-tuned PI controller under various scenarios, including changes in thermal system load, load variations in both areas, and robustness considerations, with well-known techniques in the literature, such as black widow optimization algorithm (BWOA), salp swarm algorithm (SSA), shuffled frog leaping algorithm (SFLA), firefly algorithm (FA) and genetic algorithm (GA). Our comparative study demonstrates that the proposed controller outperforms state-of-the-art approaches in terms of overshoot values and damping durations for both system frequency and tie-line power changes. The study provides valuable information on the effectiveness of the RIME-tuned PI controller in controlling AGC processes in complex hybrid power systems.INDEX TERMS Automatic generation control, RIME algorithm, Hybrid PV-reheat thermal system, ITAE, frequency deviation.

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Section: Compared Recent Approachesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automatic Generation Control of a Hybrid PV-Reheat Thermal Power System Using RIME Algorithm

Ekinci,

Can,

Ayas

et al. 2024

IEEE Access

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“…However, these controllers are optimized by evolutionary techniques for their optimal operations [7], the genetic algorithm (GA) [8], particle swarm algorithm (PSO) [9], firefly algorithm (FA) [10], butterfly optimizing algorithm (BOA) [11], ant lion optimizer [12], JAYA algorithm [13], and multiverse optimization [14]. Salp swarm algorithm (SSA) was adopted to optimize PI/PID controller for the regulation of frequency considering the renewable and energy storage devices [15,16]. Likewise, the improved stochastic fractal search algorithm (ISFS) was adopted to minimize the frequency oscillation during a load change [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Sibtain,

Rafiq,

Bhatti

et al. 2023

IET Renewable Power Gen

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In today's electrical grid, frequency cannot be ignored. The proliferation of renewable energy sources into a power system degrades its frequency; hence, the need for frequency regulation has been increased as a result. The second major factor is the perturbation in the load that originates the frequency fluctuation which needs to be suppressed in minimum time to avoid any system collapse. The designing of an optimal controller is indispensable because of increasing power system complexity. In order to maintain the stability of the power system, this paper presents the cascaded design of the model predictive controller with fractional order PID controller (MPC‐FOPIDN) to mitigate the frequency oscillations due to disruption in load. The combination of the predictive capabilities of model predictive control (MPC) and fractional order control enhances control abilities, making it an optimal control strategy for load frequency control (LFC). The grasshopper optimization algorithm (GOA) is applied to obtain optimal gains values for the FOPID controller. The efficacy of the controller has effectively mitigated frequency fluctuations caused by a change in demand or any uncertainty in the power system.

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“…But they suffer with large number of technical problems and one of the major issues are transferring of disturbances between the regions and that is why these drawbacks can overcome via moving the HVDC tie-line with AC tie-lines between the regions. Advance, it is continuously fitting that each region ought to meet its claim power request whereas overseeing the power give-and-take over the tie-lines to the plan value [1][2].…”

Section: Introductionmentioning

confidence: 99%

Frequency Oscillation Suppression of Interlinked Solar PV-Thermal Power System using HVDC Link

Sharma¹

2022

Adv. sci. technol. eng. syst. j.

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This paper looks for the merging of solar PV power plant with thermal power generation and interlinked through tie-lines approaching into an interlinked PV-Thermal model for the design and analysis of load frequency controllers. Moreover, the different models of controllers are also proposed and tested to regulate the frequency of PV-Thermal interlinked system for a certain disturbance in one of the regions of an interlinked system. The choice of auxiliary controllers is assessed utilizing assorted tuning strategies and the comparative examination of all models are shown via graphical response and via calculating numerical values to bring back the frequency and tie-line power deviations back to the standard level and to analyze the viable control activity. In addition, an HVDC link is also used between linked PV-Thermal areas to stabilize the frequency and tie-power quickly as well as to stabilize the system operation for alteration in changing loading conditions of the interlinked system.

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Influence of energy storage device on load frequency control of an interconnected dual-area thermal and solar photovoltaic power system

Cited by 16 publications

References 37 publications

Automatic Generation Control of a Hybrid PV-Reheat Thermal Power System Using RIME Algorithm

Automatic Generation Control of a Hybrid PV-Reheat Thermal Power System Using RIME Algorithm

Frequency stabilization for interconnected renewable based power system using cascaded model predictive controller with fractional order PID controller

Frequency Oscillation Suppression of Interlinked Solar PV-Thermal Power System using HVDC Link

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