Abstract
In this work, we address the problem of allocating optical links for connecting automatic circuit breakers in a utility power grid. We consider the application of multi-objective optimization for improving costs and power network reliability. To this end, we propose a novel heuristic for attributing reliability values to the optical links, which makes the optimization converge to network topologies in which nodes with higher power outage indexes receive greater communication resources. We combine our heuristic with a genetic algorithm in order to solve the optimization problem. In order to validate the proposed method, simulations are carried out with real data from the local utility. The obtained results validate the allocation heuristic and show that the proposed algorithm outperforms gradient descent optimization in terms of the provided Pareto front.
Highlights
The increasingly stringent requirements imposed on energy utilities imply greater investments by these companies in their main infrastructure
We propose a heuristic for attributing reliability values to optical links in order to improve the distribution of reliability gains throughout the power grid
We proposed a new reliability-based heuristic for optimizing optical link deployment in a network for connecting automated power grid breakers
Summary
The increasingly stringent requirements imposed on energy utilities imply greater investments by these companies in their main infrastructure Such requirements are related to quality of service regulation by supervising agencies, which forces companies to invest in technologies that enable the operation of their grids according to established standards. The attainment of adequate continuity indexes is associated with investments in automation mechanisms for the distribution grid. We consider the problem of optimizing the allocation of fiber optics links for connecting automatic breakers in a distribution grid. The optimization objective is to attain high reliability for breaker operation and, improvement of supply quality perceived by consumers connected to the grid.
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