The effects of load frequency control (LFC) of interconnected distribution power system in tie-line substation area load –frequency stability and the frequency respond at distribution generator (DG) are very important for interconnected control power system of tie-line area. The generating power system of solar farm and wind turbine which have interconnected distribution power system in tie-line substation area were tested using 3 simulation parameters: non-controller Automatic Voltage Regulator (AVR) and with Pl Controller. The results showed that there were 3 types of load and frequency changing in the interconnected area: load changed 0.02 p.u. had frequency of load changed 0.025 Hz and large disturbance. Comparisons of load-frequency to respond for steady state the time respond was 7.9 seconds for non-controller 5.4 seconds for AVR and 1.7 seconds for under controlled system at 0.1 p.u using Pl controller. Therefore the Pl controller has better efficiency than non-controller about 31 % and AVR about 16%. It can be concluded that the interconnected distribution power system in tie-line substation area controlling for storage for connected grid had better efficiency and optimization of generating power from renewable solar farm and wind turbine which have interconnected distribution power system in the nearby are balance of controlling of the original system.

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)