Lion Algorithm: A Nature-Inspired Algorithm for Generation Rescheduling-Based Congestion Management

Tapre, Pawan C.; Singh, Dharmendra Kumar; Paraskar, Sudhir R.

doi:10.1007/978-981-10-7386-1_1

Cited by 2 publications

(2 citation statements)

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“…Eliminating overloads appearing in power lines by redistributing the power of RE sources can be found in the literature in items [6,[26][27][28][29][30][31][32][33][34][35][36][37][38]. For example, in [26], Fan and Huang proposed the use of the redispatch strategy to compensate the generation of renewable sources based on historical data.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In [33], Verma and Mukherjee used the ant lion optimiser (ALO) algorithm for this purpose, and in [34], the Black Hole Algorithm (BHA) was used. The metaheuristic optimisation method was also used by Tapre, Singh and Paraskar using the Lion Algorithm (LA) [36,37]. In [6], for this purpose, Venkaiah and Kumar proposed a method based on Fuzzy Adaptive Bacterial Foraging (FABF), and tested their algorithm on a 30-node IEEE test network and on a real 75-node Indian system.…”

Section: Literature Reviewmentioning

confidence: 99%

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Optimal Network Reconfiguration and Power Curtailment of Renewable Energy Sources to Eliminate Overloads of Power Lines

Pijarski,

Saigustia,

Kacejko

et al. 2024

Energies

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The increasing number of renewable energy sources in power systems contributes to overloads of power lines in emergency situations. Lines made with relatively small cross-section cables, which in the past were designed for an operating temperature of 40 °C, are particularly exposed to overloads. Currently, they constitute the so-called “bottlenecks” in network capacity. This is manifested in the fact that when carrying out expert opinions aimed at examining the impact of a source on the network, computational analyses show overloads of its elements. This article proposes a methodology for eliminating these overloads. It involves the use of two methods at the same time, namely optimal network reconfiguration combined with minimisation of the total power curtailment in RE sources. The search for the optimal network configuration will also allow for minimising power curtailment in renewable energy sources, and thus reduce the costs of this type of operation. With such a tool, network operators will be able to achieve the effect of relieving the line load with the lowest possible cost of redistribution. Based on the IEEE 118 bus test network, calculations were performed that confirmed the effectiveness of the proposed approach. The operation of the proposed methodology is presented with the example of two selected network failure states. The novelty of the proposed solution lies in the simultaneous use of two methods of eliminating line overloads. This streamlines the entire process and improves its effectiveness.

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