Object-controllable and predictive frequency bias coefficient setting method

In order to implement object-controllability and pre-control of AGC, a method of estimating frequency bias coefficient by using multi-objective optimization technology and very short-term load prediction is presented. For practical implementation, the method is designed based on discrete-time system. It introduces control factors, which artificially control the importance of each performance requirement according to area characteristic or operator´s intention. In the meantime, using the results of very short-term load prediction, an optimal algorithmic program is run before every forecast period, thus each area could obtain object-controllable B coefficient forward, and the AGC units could regulate output under the guidance of load prediction. The method is examined by digital simulation with a three-area system model. The results showed that the method is accurate and effectual for estimating B coefficient, and the performance of interconnected power systems is improved by using the object-controllable and predictive frequency bias coefficient.