Litcius/Paper detail

Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system

Md. Shadman Abid, Hasan Jamil Apon, Ashik Ahmed, Khandaker Adil Morshed

2021Ain Shams Engineering Journal49 citationsDOIOpen Access PDF

Abstract

The critical challenge for an efficient islanding operation of a distribution system having Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary load shedding schemes are inefficient and do not adequately assess the optimum amount of load to shed which results in either excessive or inadequate load shedding. Hence, this paper presents an optimal load shedding technique using Chaotic Slime Mould Algorithm (CSMA) with sinusoidal map in order to achieve greater efficiency. A constrained function with static voltage stability margin (VSM) index and total remaining load after load shedding was applied to accomplish the evaluation. A total of three islanding scenarios of IEEE 33 bus and IEEE 69 bus radial distribution systems were used as test systems to assess the efficacy of the proposed load shedding approach using MATLAB software. To identify performance enhancements, the developed method was compared to Backtrack Search Algorithm (BSA) and the original SMA. According to the results, CSMA outperforms both BSA and SMA in terms of remaining load and voltage stability margin index values in all the test systems.

Topics & Concepts

IslandingControl theory (sociology)ChaoticMATLABStability (learning theory)Load SheddingVoltageMargin (machine learning)Computer scienceAlgorithmEngineeringElectric power systemDistributed generationPower (physics)Electrical engineeringRenewable energyPhysicsMachine learningControl (management)Operating systemArtificial intelligenceQuantum mechanicsOptimal Power Flow DistributionPower System Optimization and StabilityIslanding Detection in Power Systems