Solving optimal power flow problem for IEEE-30 bus system using a developed particle swarm optimization method: towards fuel cost minimization

Mohamed, Shazly A.; Anwer, Noha; Mahmoud, Mohamed Metwally

doi:10.1080/02286203.2023.2201043

Cited by 14 publications

(4 citation statements)

References 47 publications

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“…The single-line diagram of the system is shown in Figure 2. The detailed parameters of the diagram are presented in [18]. In the case study, the IEEE-30 bus system has a load profile as shown in Figure 3.…”

Section: Simulation and Resultsmentioning

confidence: 99%

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Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding

Le,

Nguyen,

Hoang

et al. 2023

Eng. Technol. Appl. Sci. Res.

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Optimizing the operational parameters and control of the power system in steady-state conditions is a crucial issue in reducing the costs of power generation and operation. In the case of long-term operation of a power system, besides aiming to minimize power generation costs, the cost of damage caused by load shedding also needs to be considered. This paper presents the optimization of the total cost of a power system including minimizing the generation cost function of power plants or power companies and minimizing the damage cost function caused to customers due to load shedding or power outages. At the same time, the objective function must also ensure the constraints on the operating conditions of the power system. This contributes to maintaining the continuity of the power supply to critical loads and minimizing damage. Base loads, priority loads, or loads that are not allowed to be shed are considered as constraints. The optimization problem is addressed by using the Particle Swarm Optimization (PSO) algorithm and the Cuckoo Search Algorithm (CSA). The IEEE 30-bus test system is applied to validate the reduction in total cost. The result comparison shows that when applying the CSA, the total cost is significantly reduced by 3.75% in comparison with the PSO algorithm. The algorithms are implemented in Matlab to demonstrate the efficiency and accuracy of the proposed method.

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Section: Simulation and Resultsmentioning

confidence: 99%

“…The power needs to be shed at t 3 and t 5 are 20.87 MW and 50.05 MW. The optimization of the generation cost function F 1 (x) using the PSO algorithm has been calculated and presented in [18]. The results of the cost coefficient values , ,…”

Section: Simulation and Resultsmentioning

confidence: 99%

Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding

Le,

Nguyen,

Hoang

et al. 2023

Eng. Technol. Appl. Sci. Res.

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“…With its various configurations, the PID controller is the simplest and easiest frequency control mechanism available for interconnected PSs. The PID control may be implemented for F-control [24][25][26]. As interconnected PSs integrated with RESs like PV and EV are non-linear systems with high nonlinearities, some metaheuristic optimization techniques should be employed for fine-tuning the controller parameters.…”

Section: B) Literature Reviewmentioning

confidence: 99%

Regulation of multi-area power system load frequency in presence of V2G scheme

Hussein,

Mohamed,

Mahmoud

et al. 2023

PLoS ONE

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The integration of renewable sources (RSs) and the widespread deployment of electric vehicles (EVs) has transitioned from a luxury to a necessity in modern power systems. This results from the sharp increase in electric power demand and public awareness of switching to green energy. However, in addition to load fluctuations and changes in system parameters, these RSs and EVs negatively impact the load frequency (LF). This work presents a LF control for a modern multi-area power system incorporating photovoltaic (PV) and EV chargers. The proposed controller primarily utilizes EV chargers within modern power systems. This approach offers the advantage of using the already present components instead of introducing new ones. The proposed controller comprises the ecological optimization approach (ECO) and the integral controller (I). Both of these components are designed for autonomous vehicle-to-grid (V2G) devices. The proposed control technique is applied to a three-area power system, where the V2G scheme is located in Area-1. Variations in the load, PV power generated, and system parameters are considered to evaluate the effectiveness of the proposed (I+ECO+V2G) controller for controlling the LF. To assess the performance of the proposed I+ECO+V2G system, a comparative analysis is conducted to compare its performance with both the I+ECO system and the standard I-controller. The simulation findings demonstrate that implementing the I+ECO and the proposed I+ECO+V2G strategies results in enhanced system stability and decreased LF fluctuations compared to the conventional I-control approach. Furthermore, while comparing the I+ECO control technique to the suggested control strategy I+ECO+V2G, it was seen that the latter reaches steady state values more quickly. The results validate the robustness and effectiveness of the proposed controller in mitigating the impacts of load disturbances, uncertainties, and nonlinearities within the system. These simulations were performed using MATLAB/SIMULINK. To validate the outcomes of the simulation results, an experimental setup consisting of a real-time dSPACE DS1103 connected to another PC via QUARC pid_e data acquisition card was used. The experimental findings have substantiated the accuracy of the simulation findings about the superiority of the I+ECO+V2G methodology compared to both the I+ECO and I-control methodologies concerning system performance and LF control.

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“…ESSs can be integrated into a µG to store excess power generated during peak hours and supply it during low-demand periods. This reduces the impact of power fluctuations on the VαF stability of the µG [31][32][33][34]. Voltage regulation (VR) techniques, such as tapchanging transformers, can be employed to maintain a stable voltage level under varying load conditions.…”

Section: Introductionmentioning

confidence: 99%

Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review

Alhaiz,

Alsafran,

Almarhoon

2023

Energies

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Renewable distributed generators (RDGs) have made inroads in recent power systems owing to the environmental effect of traditional generators and their high consumption of electric energy. The widespread use of RDGs has been a recent trend in numerous nations. The integration complexity and the intermittent nature of RDGs can undermine the security and stability of microgrids (µGs). In order to guarantee the effectiveness, dependability, and quality of the electricity delivered, appropriate control methods are necessary. RDGs are being included in single-phase microgrids (1Ø-µGs) to generate energy closer to the user. The creation of low-voltage µGs allows for increased energy efficiency and improved electrical supply dependability. Nevertheless, the combined power pumped by DGs might create power quality (PQ) difficulties, especially during off-grid operations. The three biggest problems with PQ are reactive-power swapping, voltage and frequency (VαF) variations, and current and voltage (IαV) harmonic falsification associated with 1Ø-µGs; these conditions may affect the operation of µGs. The designed and implemented (primary–secondary control systems) in RDGs are the prevalent strategy discussed in the literature for mitigating these PQ difficulties. Furthermore, emerging grid innovations like the electrical spring offer viable alternatives that might reduce some problems through decentralized operation. Although several research studies have addressed PQ concerns in 3Ø-µGs, not all of these solutions are immediately applicable to their 1Ø equivalents. In this paper, the state of the art and a performance comparison of several PQ enhancement strategies of µGs is discussed. Additionally, the primary difficulties and several PQ approach tactics are highlighted. All vital features from high-quality published articles and new dimensions in this field are presented for mitigating PQ difficulties in 1Ø-µGs.

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Solving optimal power flow problem for IEEE-30 bus system using a developed particle swarm optimization method: towards fuel cost minimization

Cited by 14 publications

References 47 publications

Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding

Optimizing the Power System Operation Problem towards minimizing Generation and Damage Costs due to Load Shedding

Regulation of multi-area power system load frequency in presence of V2G scheme

Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review

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