Abstract
For the sustainability of power supply and operation systems, planners aim to deliver power at an optimum value to consumers, while maintaining stability in the system. The load-shedding approach has proven to be an effective means of achieving the desired stability. This paper presents a nodal analysis to establish critical bus identification in the power grid. A power simulation for load shedding was created using the power system analysis toolbox (PSAT) for identifying and isolating weak buses on the power system. A computational algorithm was developed using differential evolution (DE) for minimizing service interruptions and blackouts, and was tested against the conventional genetic algorithm (GA). The proposed algorithm was implemented on an IEEE 30-bus test system. The simulation results were analyzed before and after the application of DE. It was observed that after the application of DE, load shedding gives an efficient result of 10.6%, 8.7%, and 13.4% improvement at buses 26, 29, and 30, respectively, after being tested using a genetic algorithm (GA), with a result of 10.2%, 7.6% and 13.1% on the same respective buses. This work will further expand the reliability and availability of power systems toward a sustainable, steady power supply that is void of nodal or bus cutoffs.
Highlights
The rise in industrialization and technological advancements around the world has necessitated the need for power utility industries to meet the rising demand of consumers at every point in time [1]
A simulation was carried out using the power system analysis toolbox (PSAT) to model and perform load flow steady-state analysis with Newton–Raphson
This study has presented a novel algorithm for load-shedding optimization of the required load buses in a 30-bus IEEE test network
Summary
The rise in industrialization and technological advancements around the world has necessitated the need for power utility industries to meet the rising demand of consumers at every point in time [1]. The operating margins of conventional power systems are moving close to their limits, thereby creating increased voltage profile violations, power-balancing problems, and an overall grid maintenance crisis that could cause blackouts and outages. This was demonstrated by the US and Canada 96-hour blackout in 2003, which affected over 50 million people. In order to avoid a repeat of this situation, it becomes necessary to shed some of the load at specific buses, stabilizing voltages at steady-state values in all the buses of the distribution network In this way, such a mismatch in consumer load consumption value and the amount of power generated will not affect the frequency of the system, necessitating load shedding [3,4]
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