A Novel Approach of Power Quality State Determination Based on Matrix Observation

Power quality analysis is vitally important to maintaining system stability. Today’s power network is very complex, so it is tough to analyze and maintain stability due to the effects of insufficient data. Detecting and identifying bad measurements is extremely valuable because a malfunction can occur. This affects the power system’s operation and control. Identifying bad data in the network is very crucial and difficult process because in a network the meters are operated in interconnected ways so positive and negative error margin will not be effect on the overall system performances but individual meters error will affect the system to detour ate the heath condition of power networks to make a stable system to unstable system or bring a normal state to alert state. After a few moments, the system’s overall health conditions will deteriorate and directly go to the dead zone, and then there is nothing we can do to bring the system back to a healthy, stable condition. So in this paper, we will discuss how to analyze insufficient data using the Matrix observation method, which continuously analyzes and tests IEEE 5 Bus, 14 Bus, 30 Bus, and 57 Bus data using this method, and show the comparative results. This paper presents new methods for analyzing power quality using the weighted state determination method (PQWSDM). This paper also compared the proposed method with other weighted least squares techniques. A thorough testing process demonstrates the proposed method’s effectiveness under all test conditions, instilling confidence in its reliability.