Improved fuzzy load models by clustering techniques in optimal planning of distribution networks

The notion of modeling is essential to modern techniques of control and operation process. Developing a control process in fact means developing a model that allows us to predict the action and reduce the amount of feedback required. Recently the fuzzy modeling has become driving force that today is reflected in many different software and hardware products. The paper presents improvements of the fuzzy load models by clustering techniques in distribution networks planning. The hierarchic clustering techniques, conjunctively with fuzzy modeling, are proposed in this paper for determination of the typical load profiles, customers' categories, and so on. Obtained results demonstrate the ability of the fuzzy load models to overcome difficult aspects encountered in process control and operation problems.