Optimal Placement of Line Switches for Distribution Automation Systems Using Immune Algorithm

Abstract

Abstract-To enhance the cost effectiveness of the distribution automation system (DAS), this paper proposes the immune algorithm (IA) to derive the optimal placement of switching devices by minimizing the total cost of customer service outage and investment cost of line switches. The reliability index of each service zone defined by the boundary switches is derived to solve the expected energy not served due to fault contingency, and the customer interruption cost is then determined according to the customer type and power consumption within the service zone. To demonstrate the effectiveness of proposed IA methodology to solve the optimal placement of line switches, a practical distribution system of Taiwan Power Company (Taipower) is selected for computer simulation to explore the cost benefit of line switch placement for DAS.Index Terms-Distribution automation system (DAS), immune algorithm (IA), outage management system (OMS).

Electric Power Systems Research

“…Usually, switch placement is formulated as a constrained nonlinear mix-integer optimization problem [67][68][69][70][71][72][73][74][75]. Heuristics, such as fuzzy logic approach [68], genetic algorithm [69], and immune algorithm [70], are used to obtain a near-optimal solution with acceptable computational performance.…”

Smart Distribution Systems

“…Usually, switch placement is formulated as a constrained nonlinear mix-integer optimization problem [67][68][69][70][71][72][73][74][75]. Heuristics, such as fuzzy logic approach [68], genetic algorithm [69], and immune algorithm [70], are used to obtain a near-optimal solution with acceptable computational performance.…”

Nuevo enfoque para la localización óptima de reconectadores en sistemas de distribución considerando la calidad del servicio y los costos de inversión

“…En [9] emplean un modelo no lineal entero mixto para la localización óptima de dispositivos de protección sobre un sistema de distribución, considerando limitaciones técnicas y económicas, además de una clasificación de ramales por nivel de importancia; consideran como función objetivo la minimización de los costos de instalación de dispositivos y de interrupción del servicio ocasionado por las fallas. Usan como técnica de solución un algoritmo de búsqueda tabú reactivo y validan la propuesta en un sistema de características reales.…”