Structure optimization of electrical power network using ant colony approach

Abstract

This paper describes and uses an ant colony meta-heuristic optimization method to solve the redundancy optimization problem. This problem is known as total investment-cost minimization of series-parallel power system configuration. Redundant components are included to achieve a desired level of availability. System availability is represented by a multi-state availability function. The power systems components are characterized by their performance (capacity), availability and cost. These components are chosen among a list of products available on the market. The proposed meta-heuristic seeks to the best minimal cost power system configuration with desired availability. To estimate the series-parallel power system availability, a fast method based on universal moment generating function (UMGF) is suggested. The ant colony approach is used as an optimization technique. An example of electrical power system is presented.

Optimal Design and Reliability Evaluation of Multi-State Series-Parallel Power Systems

“…(3). This problem is treated by using an ant colony optimization (ACO) approach, Meziane et al [11]. The optimal design solution obtained for an Algerian electrical power system is illustrated in Table 5.…”

“…1. The UMGF of subsystems' units are defined according to Equation(11). + 0.3Z 100 + 0.65Z 150 ) U sys = δ (0.005Z 0 + 0.04Z 30 + 0.03Z 50 + 0.105Z 60 + 0.13Z 80 + 0.15Z 90 + 0.3Z 110 + 0.24Z 140 ), (0.05Z 0 + 0.3Z 100 + 0.65Z 150 ) U sys = 0.0547Z 0 + 0.038Z 30 + 0.0285Z 50 + 0.0949Z 60 + 0.123Z 80 + 0.1425Z 90 + 0.162Z 100 + 0.195Z 110 + 0.156Z 140…”