Abstract

The prevalent tendency in power transmission systems is to operate closer and closer to the energy limit, rendering system voltage instability a commonly widespread phenomenon. It is, therefore, necessary that certain remedial corrective controls need be undertaken whenever these systems tend towards failure. In this respect, load shedding stands as a major correction mechanism and such a failure can be prevented and nominal system voltage can be resumed. It is worth noting however that load shedding must be implemented very carefully to ensure the satisfaction of both the customer and the electricity-production company. In this context, our focus of interest is laid on load and machine shedding against voltage collapse as an effective corrective method. It is important to note that such a problem turns out to be commonly defined as an optimization problem under constraints. Using genetic algorithms as resolution methods, the application of the proposed methods was implemented on the 14-node IEEE test network, while considering a number of different case studies.

Highlights

  • Electric power plays a crucial role in almost every domain, lighting, communication, and transportation

  • With regard to the permanent mode, the study of voltage collapse provides a solution to the magnitudes of an electrical grid in normal balanced operation

  • ‫ܨ‬ሺ‫ݔ‬ሻ ൌ ∑௡௜ୀ௟ଵሺ‫ܥ‬௧௜ ߣ௜ሻ (1) where ‫ܥ‬௧௜ denotes the load shedding cost at node I, ߣ௧௜ stands for the load-shedding factor at node I, and nl designates the number of consuming nodes

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Summary

INTRODUCTION

Electric power plays a crucial role in almost every domain, lighting, communication, and transportation. The environmental impact of such processes turns out to be increasingly important and seriously considered when developing the electricity power production and transmission procedures To achieve these goals, several optimization methods and strategies have been applied [10,11]. The classic methods would serve to solve the single-objective optimization problem (production cost optimization) whereas the most efficient generator supplied grid would not be useful These methods were designed to obtain voltages in the necessary boundary zones reliable enough to ensure that the grid would remain in an operating point, far from a voltage collapse level, with maintained stability. To ensure the system’s continuity within the available permitted limits while maintaining minimum production cost, two distinct shedding modes are envisaged, namely load shedding and machine shedding In this context, the choice of the appropriate shedding scheme rests exclusively on the computation of the limit’s required power. The process implementation procedure was conducted via the IEEE 14-node standard test network

SHEDDING AGAINST VOLTAGE COLLAPSE
FORMULATION OF THE GENETIC ALGORITHM BASED
Loads and Machines’ Shedding Objective Functions
Constraints
The Genetic Algorithm
APPLICATION AND SIMULATION RESULTS
Simulation Results
CONCLUSION
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