Abstract
As modern power systems become large and complicated, an automated voltage and reactive power control system is required in most developed countries due to the remarkable recent progress in computer networks and information technology. To date, voltage control has depended on human operators in the Korean power system. Accordingly, this paper proposes a universal intelligent voltage control system for bulk power systems based on sensitivity analysis and a main expert system. A detailed state space modeling technique is discussed, and an effective performance index is proposed to accelerate the searching performance of the expert system. As the searching strategy is an important factor for the speed of the expert system, the least-first search algorithm is applied using this performance index. The proposed system has been applied to the Korean power system, showing promising results.
Highlights
As power systems grow, many countries experience a number of widespread power outages due to voltage instability caused by the imbalance between reactive power supply and demand [1]
For intelligent voltage control systems, the sensitivity tree-based real-time voltage and reactive power control method was proposed for the first time in Canada [7] in the 1980s
This paper presents a state-of-the-art intelligent voltage control system for Korea’s power system in detail
Summary
Many countries experience a number of widespread power outages due to voltage instability caused by the imbalance between reactive power supply and demand [1]. The hierarchical-distributed architecture was first proposed by the French company Électricité de France [3] This system consists of three layers of architecture: primary voltage control, secondary voltage control, and tertiary control [4]. For intelligent voltage control systems, the sensitivity tree-based real-time voltage and reactive power control method was proposed for the first time in Canada [7] in the 1980s. In the 1990s, SEGRE [8] and SETRE [9,10] were proposed in Spain, which are basically hybrid systems using the sensitivity tree-based numerical computation and artificial intelligence method using operators’ knowledge [11,12]. As Korea’s mainland power system has a complex structure with heavy load density, an intelligent control approach would be more efficient than a conventional hierarchical three-layer approach. The main expert system searches the sensitivity tree to find the best solution step-by-step and suggests the final control sequences
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