A strategy for intentional islanding of distribution networks based on node electrical relevance and artificial bee colony algorithm

Abstract

Intentional islanding is an effective approach to avoid large-area blackouts and minimize outage losses through making full use of renewable energy sources. This paper proposes a novel strategy based on node electrical relevance and artificial bee colony algorithm. The node electrical relevance is defined with equivalent electrical distance and traditional line weight, which can reflect the electrical characteristics of power systems, differentiating the proposed strategy from most existing strategies which are based on graph theory. The artificial bee colony (ABC) algorithm employed has fewer control parameters, strong robustness, and high accuracy; therefore, more loads can be incorporated into islands and restored. The constraints of load priority, load controllability, line capacity, and stable operation requirements of power systems are considered to tally with the actual distribution networks. The strategy is tested using the IEEE 69-bus distribution system and compared with other strategies from the literature. The simulation results demonstrate that the proposed strategy is more feasible and efficient.

A Survey on Power Grid Faults and Their Origins: A Contribution to Improving Power Grid Resilience

“…The islanding approach can be solved using different methods and considering diverse constraints. Constrained spectral clustering [124], the multilevel kernel K [119], or the artificial bee colony algorithm [125] are examples of it.…”

“…Also, regarding cascading failures, simulation of cascading failures is normally done to understand which grid branches will be more affected and where solutions like island mode can be applied to decrease the cascade failure effect [48,124].…”

“…Adaptation state: Finally, the adaptation state occurs when the grid is fully restored and the prevention state starts once more, with the application of the actions mentioned in this subchapter and represented in Figure 5. Also, regarding cascading failures, simulation of cascading failures is normally done to understand which grid branches will be more affected and where solutions like island mode can be applied to decrease the cascade failure effect [48,124].…”

Power failure risk assessment and management based on stochastic line failures in distribution network including distributed generation

“…[24], where the unavailability of all the lines is5 × 10 −5 . The primary loads are 6,9,12,18,35,37, 42, 51, 57, and 62. The tertiary loads are 7, 10,11,13,16,22,28,43,45,46,47,48,59, 60, and 63.…”

Sustainable protection coordination in presence of distributed generation with distributed network

“…But in this way, the DGs will be disconnected every time even in the case of temporary faults, which can hurt the reliability and introduce voltage sag problems when the size of DGs is large. The authors in Kimiai et al, Zhang et al, and Guo et al proposed different techniques especially superconducting magnetic energy storage (SMES) and solutions for islanded mode of operation in case of faults, but islanding operation might endanger the safety of utility personnel and public, leading to poor quality of power supply to customers. Moreover, DG units may get damaged because of wrong restoration of grid …”