Intelligent energy saving power system control of telecom DC power plant

Abstract

This paper presents the design of Intelligent Energy Saving Power System Controller (IESPSC) in a DC power plant for Korean Telecommunications. From the past experience, rectifiers for Telecom DC power plants have been very inefficient at light loads. The proposed control scheme offers `novel load sharing' approach based on the knowledge of each unit's efficiency in parallel rectifiers. Neural networks are used to identify unit's efficiency characteristic curve corresponding to load currents, which is in turn utilized to produce a system efficiency close to the maximum under all operating conditions. A dramatic saving in operation costs can be achieved by limiting the number of operating units to the minimum and maintaining high efficiency at the determined loads.