Abstract
In this paper, we present a new planning technique based on fuzzy set theory in order to solve the dynamic load dispatching problem. In some conventional studies on the dynamic load dispatching, the fuzziness of some parameters which is made by expert's experience and knowledge has been ignored. Furthermore, the fuzziness of the coordination of various objectives, such as economy and the total adjustable capacity of generation, has also been left out of consideration. In this paper, the fuzziness of the load forecast is selected as the fuzziness of parameters, and the fuzziness of the evaluation of economy and the total adjustable capacity of generations are selected as fuzziness of decision making. These fuzziness are treated as fuzzy sets, respectively. Under the fuzzy environment, the fuzzy dynamic load dispatching method is developed on the basis of the Bellman-Zadeh maximizing decision. Arbitrary shape of membership functions can be used in the proposed approach, since the method is based on the dynamic programming technique. The effectiveness and feasibility of the proposed approach are demonstrated on a typical power system model.
