Optimal Switching Operations of Soft Open Points in Active Distribution Network for Handling Variable Penetration of Photovoltaic and Electric Vehicles Using Artificial Rabbits Optimization

Janamala, Varaprasad; Rani, K. Radha; Rani, P. Sobha; Venkateswarlu, A. N.; Inkollu, Sai Ram

doi:10.1007/s41660-022-00304-9

Cited by 18 publications

(8 citation statements)

References 49 publications

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“…The Artificial Rabbits Optimization (ARO) method, which is a novel bio-inspired meta-heuristic approach, is used to fine-tune the suggested PD-PIDA parameters. This algorithm has demonstrated better performance when it comes to the handling of complex real-world situations [37], [38], [39], [40]. The following are some of the most important contributions that this study presents:…”

Section: B Motivation and Contributionsmentioning

confidence: 88%

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Neamah,

AbuHussein,

Hossam-Eldin

et al. 2023

IEEE Access

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In this research, a novel optimized Proportional-Derivative with Proportional-Integral-Derivative-Acceleration (PD-PIDA) driven static synchronous compensator (STATCOM) is proposed with the goal of improving the frequency performance of power systems through the manipulation of reactive power. When there is a variation in load or when there is a failure of generation, the presented controller is able to maintain the frequency of the system within the allowable limits (±2% as per IEC 60034-1 standard). A recently developed metaheuristic optimization strategy known as the Artificial Rabbits Optimizer, or ARO, is used to do the fine-tuning the PD-PIDA controller's gain settings. In addition to this, the functionality of the ARO-based PD-PIDA-controlled STATCOM is evaluated in the context of two IEEE standard systems: the two-area four-machine system (Kundur system) and the New England IEEE 39-bus system. According to the outcomes, the ARO-based PD-PIDA controller can give a superior frequency response than the PIDA controller whose parameters are optimized by Marine Predator Algorithm (MPA) that was published in the prior literature. This was determined by comparing the two controllers. In addition, the proposed controller's resiliency is tested by integrating case studies with wind generation. This helps to ensure that the controller is fit for purpose. In every single one of the examples that were researched, the application of the ARO-based PD-PIDA-controlled STATCOM resulted in a remarkable boost in the frequency performance. Additionally, the outputs are introduced in the form of time domain simulations that were carried out with MATLAB/SIMULINK.

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Section: B Motivation and Contributionsmentioning

confidence: 88%

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Neamah,

AbuHussein,

Hossam-Eldin

et al. 2023

IEEE Access

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“…The studies [ 12 , 13 ] have investigated the effectiveness of SOPs in DPNs without other active and reactive power sources. Other studies have combined the SOPs devices and other power sources, such as Capacitors [ 14 ], DGs [ [15] , [16] , [17] ], DGs and NR [ [18] , [19] , [20] , [21] , [22] , [23] ], SDGs [ [24] , [25] , [26] , [27] , [28] , [29] , [30] ], WDGs [ 31 ], and both SDGs and WDGs [ [32] , [33] , [34] , [35] , [36] , [37] , [38] , [39] , [40] ]. The two studies [ 12 , 13 ] have proved that energy loss was reduced and the voltage was improved, although the study [ 12 ] did not consider voltage as an objective like the study [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Optimal placement and operation of soft open points, capacitors, and renewable distributed generators in distribution power networks to reduce total one-year energy loss

Van Tran,

Truong,

Phan

et al. 2024

Heliyon

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“…The optimization problem is solved using the enhanced marine predator algorithm (EMPA). In [11], NR with soft open points (SOPs) is proposed using artificial rabbit optimization (ARO) for improving the resilience of multi-lateral EDNs under renewable energy (RE)-based DGs and electric vehicle (EV) uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

2023

IJIES

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Most electrical distribution systems (EDS) are radially structured so that primary and secondary protection control devices can work together well. Because they have a high R/X ratio in their design, they also have a bad voltage profile, high distribution losses, and less stability margins. As a result, integrating reactive power compensation devices like the distribution-static VAr compensator (D-SVC) can solve these issues. Yet, the situation can get worse if D-SVCs are placed and rated incorrectly in radial distribution networks (RDNs). Determining the optimum locations and their ratings simultaneously requires an updated version of the Firefly algorithm (FA) with adaptive parameters, which is introduced in this paper as the adaptive firefly algorithm (AFA). The multi-objective function that has been presented relates to improving loadability, voltage stability, and reducing active power loss. On the IEEE 69-bus, simulations are run for three different VAr compensation levels. In comparison to the base case, the losses are reduced by 34.04% and 33.14% with 50% and 75% VAr compensation, respectively. But for the optimal VAr compensation of 73.14 percent by AFA, the losses are reduced by 35.29 percent, which is higher than both under and over compensation cases. Similarly, the loadability margin is increased to 3.099 p.u. with optimal VAr compensation, but it is observed as only 2.833 p.u. and 2.939 p.u. with 50% and 75% VAr compensation, respectively. On the other hand, the findings produced with APF demonstrate its efficiency for resolving complex optimization issues and outperform those obtained with previous research. Also, the proposed D-SVCs allocation has improved RDN's overall performance, demonstrating how well it adapts to real-time applications.

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Optimal Switching Operations of Soft Open Points in Active Distribution Network for Handling Variable Penetration of Photovoltaic and Electric Vehicles Using Artificial Rabbits Optimization

Cited by 18 publications

References 49 publications

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Improvement of Frequency Regulation of a Wind-Integrated Power System Based on a PD-PIDA Controlled STATCOM Tuned by the Artificial Rabbits Optimizer

Optimal placement and operation of soft open points, capacitors, and renewable distributed generators in distribution power networks to reduce total one-year energy loss

Optimal Integration of Multiple D-SVCs for Voltage Stability Enhancement in Radial Electrical Distribution System Using Adaptive Firefly Algorithm

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