A hybrid swarm intelligence approach for resolving reactive power dispatch issues in power system: Optimal placement and sizing of UPFC

Sharma, Sudhir; Sabitha, B.; Prabhakaran, Anush; Chavan, Meena; Srivastava, Rajat

doi:10.1016/j.advengsoft.2022.103149

Cited by 9 publications

(4 citation statements)

References 32 publications

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“…The reactive power problem was solved using hybrid CSAJAYA method for IEEE 30 and UPSEV 75 bus system by the authors in [13], when the system's behaviour was analyzed with different loading conditions. Backtraping-assisted elephant herding optimization (BAEHO) was introduced in the article [14] to address the ORPP problem with UPFC in a power system under unbalanced conditions. In the article, the solution of reactive power planning for normal load and certain increased load was provided along with the effects of the SVC on system performance under various conditions.…”

Section: Literature Surveymentioning

confidence: 99%

Sine Cosine-based Optimization Method for Reactive Power Planning with Multitype FACTS Devices

Bhattacharyya,

Basak,

Rajbhar

2024

Preprint

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The present work proposes the sine cosine-based algorithm (SCA) for the optimal coordination of multitype FACTS devices with all the existing VAr sources of a connected power network. IEEE 57 bus system was chosen as standard test system for this purpose. The objective of the present work was to investigate the efficacy of the proposed algorithm for the optimal usage of the VAr sources already present in the test network as well optimal installations of the different types of FACTS devices. Unified power flow controllers (UPFC), thyristor-controlled series compensators (TCSC), and static var compensators (SVC) were the FACTS devices installed, also sizing of the existing VAr sources i.e Q generations from generators, Shunt capacitor’s VAr output, OLTC tap setting arrangements were determined. Hence the present work may be considered as a reactive power planning problem, where the main purpose was to reduce the system loss as minimum as possible by suitable coordination of all the internal and external VAr sources. Particle swarm optimization (PSO), crow search algorithm (CSA) and pigeon-inspired optimization were the other three optimization techniques also applied along with the sine cosine-based algorithm (SCA). It has been observed that SCA yielded the most suitable result.

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Section: Literature Surveymentioning

confidence: 99%

Sine Cosine-based Optimization Method for Reactive Power Planning with Multitype FACTS Devices

Bhattacharyya,

Basak,

Rajbhar

2024

Preprint

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“…This has enabled the power system to be more closely connected to the network system and the system to operate more efficiently and safely [4]. With the continuous development of machine learning and other technologies, the degree of intelligence of the information network of the power system has been gradually improved [5][6]. In the new power system, the main task of the information network is to manage and dispatch power information data.…”

Section: Introductionmentioning

confidence: 99%

Research on Attack Path Discovery of Power Information Network Based on Bayesian Inference

Li,

Liu,

Yao

et al. 2024

Applied Mathematics and Nonlinear Sciences

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This paper analyzes and researches the network attack in the electric power information environment. The intrusion attack steps are examined, and the Bayesian inference method is applied to investigate the attack source information network delivery. The success probability of the network attack is quantified by likelihood. Noisy Net, Dueling DQN, Soft Q-learning, Prioritized Experience Playback Mechanism, and ICM model are integrated to improve the DQN algorithm from different perspectives. A NDSPI-DQN algorithm is proposed based on Bayesian inference. The experimental results show that comparing the convergence performance of DQN, PPO, and this paper’s algorithm, both this paper’s algorithm and the PPO algorithm can converge to the maximum cumulative reward value within 1000 rounds, and this paper’s algorithm can converge to the optimal value within 350 rounds. In an environment with 120 hosts, the optimal path discovery success rate of this paper’s algorithm is 97.23%. The optimal number of iterations and average running time are 1.12 times and 3.81 seconds. The proposed method is suitable for large-scale power information networks with higher execution efficiency.

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“…Da Silva et al introduced a convex programming model to resolve the ORPD; this technique was practicable and workable [15]. Sharma et al designed a backtracing-assisted elephant herding approach to resolve the ORPD; this technique utilized exploration and exploitation to generate less power loss [16]. Khan et al utilized an altered marine predator algorithm to resolve the ORPD; this technique switched between exploitation and exploration to acquire better optimization results [17].…”

Section: Introductionmentioning

confidence: 99%

Using the Whale Optimization Algorithm to Solve the Optimal Reactive Power Dispatch Problem

Zhang

et al. 2023

Processes

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The optimal reactive power dispatch (ORPD) is a complex, optimal non-meritorious control issue with continuous and discontinuous control variables. This article exhibits a whale optimization algorithm (WOA) motivated by the whale’s bubble-net hunting tactic to resolve ORPD. The intention is to comply with certain constraints to promote the voltage transmission quality by adequately altering the parameters. The WOA not only equalizes exploitation and exploration to maximize the overall performance and eliminate search stagnation but also has remarkable sustainability and robustness to accomplish superior convergence speed and computation accuracy. The WOA is contrasted with MFO, BA, GOA, GWO, MDWA, SMA, SPBO and SSA by diminishing the fitness value to highlight the superiority and stability. The experimental results reveal that WOA exhibits a superior convergence level and computation precision to accomplish the minimum active power loss and superior control variables.

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A hybrid swarm intelligence approach for resolving reactive power dispatch issues in power system: Optimal placement and sizing of UPFC

Cited by 9 publications

References 32 publications

Sine Cosine-based Optimization Method for Reactive Power Planning with Multitype FACTS Devices

Sine Cosine-based Optimization Method for Reactive Power Planning with Multitype FACTS Devices

Research on Attack Path Discovery of Power Information Network Based on Bayesian Inference

Using the Whale Optimization Algorithm to Solve the Optimal Reactive Power Dispatch Problem

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