| Abstrakt: |
In the present work, the Load Frequency Control (LFC) problem of a real time bus test system of Andhra Pradesh state 124 (AP-124), India, has been studied. The system comprises of hydro, thermal, gas, and nuclear plants. The entire system is segregated into four control areas. Area 2 and Area 4 form a hybrid power system with wind and solar plants integration, as the availability of wind and solar resources are abundant in the respective areas. To overcome the chaotic behaviour of load and renewable energy generation, it is indeed necessary to develop a sophisticated controller . A hybrid Persistent -- Extreme Learning Machine (P-ELM) controller was used to encounter the frequency and tie-line power deviations. The LFC has been studied by the Conventional Integral Control, Neural Network (NN) Control and P-ELM Control, with variations in load, wind, and solar generations as well. [ABSTRACT FROM AUTHOR] |
