Knowledge-based systems as operational aids in power system restoration

Application benefits of Distribution Automation and AMI systems convergence methodology for distribution power restoration analysis

“…Consider that distribution utility 'A' has implemented power restoration in the DA system based on proposed algorithm in this paper with AMI integration in place and distribution utility 'B' has implemented with any of the existing methods in the literature [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] without AMI integration in place. With the fault condition simulated and depicted in RBTS test system of Fig.…”

“…(5) Maintain radial network structure after reconfiguration. (6) Any of the network components should not be over-loaded.…”

“…The process of obtaining an automatic solution which meets the target of optimal network reconfiguration strategy after an emergency situation like the fault or outage is defined as power restoration, which gained importance since the late eighties. In the literature several methods were proposed to obtain power restoration solution based on evolving new technologies such as Heuristic search [4], Expert system based [5], Knowledge based system [6], Artificial neural networks [7], Fuzzy logic control [8], Genetic algorithm [9], Artificial intelligence [10], Petri net [11], Tabu search [12], Optimization technique [13] and Particle swarm optimization [14]. These methods faced problems such as the difficulty in obtaining a realistic solution every time due to pre-defined rules or time required to obtain the solution was high.…”

“…Most of the restoration schemes are usually analyzed offline and are based on optimization based techniques [4][5][6][7][8][9][10][11][12][13][14], which utilize pre-programmed rules & assumptions. Later, online based restoration schemes were proposed [18,19] which embed short-term load forecasting into restoration analysis to estimate maximum demand during the next load profile interval.…”

Power Restoration in Distribution Network Using MST Algorithms

“…The automation of restoration of distribution power gained significance in the late eighties (Adibi and Kafka 1991). The state of the art methods used to solve the power system restoration for distribution system problems include Heuristic search (Morelato and Monticelli 1989), Expert system (Hotta et al 1990), and Knowledge based system (Matsumoto et al 1992). Due to the advancement in mathematics, new algorithms were developed to solve the restoration problem in distribution network.…”