This paper is a presentation of the Load-Frequency Control (LFC) of Interconnected Power System by using Fuzzy Logic and Artificial Neural Network (ANN) Controller. The both of controller have been widely applied for handling the system control of Industries and Engineering. Since the Load-Frequency behaviors of power system of uncontrolled and PI- Controller or Fuzzy Logic Controller (FLC) wanted to the stability at first of energize and load in a short time. The control system and controller then be significant for to go forward reform stability of interconnected energize power system a short time. In this research we have the Load-Frequency Controller of Interconnected Power System by using Artificial Neural Network Controller the improved can compared with conventional Fuzzy Logic Controller at power total 47.55 MW and load changing of power plan No.3 is 0.02 p.u. (1.75 MW)

The research aims to study the Conditions and Problems of Internal Educational Quality Assurance in Rajamangala University of Technology Phra Nakhon. The sample population included 320 staffts from RMUTP. The questionnaire was a research instrument. Analysis statistics was done by percentage arithmetic means standard deviation and frequency. The research results can be summarized as follows: 1. Overall Conditions and Problems of Internal Educational Quality Assurance in Rajamangala University of Technology Phra Nakhon was highly rated. 2. Problems and obstacles encountered in the implementation of quality assurance which are related to standards such as the quality of graduates standards of research productive standard of service standards Institute and Personnel Development. The problem in preservation of cultural standards standard curriculum and academic and standards of quality assurance is not found in the operation.