Mathematical methods of combining deterministic/probabilistic criteria in short-term generating reserve scheduling

Abstract

Abstract

Probabilistic approaches generally base the design and operating constraints on the criterion that the risk of certain events must not exceed preselected limits. Many utilities still prefer to use deterministic techniques owing to the difficulty in interpreting a numerical risk index and the lack of sufficient information provided by a single index. This is especially true in the power system operating domain as existing probabilistic risk indices do not provide any assessment of the capacity reserve available during the course of system operation. A practical way to overcome these difficulties is to embed deterministic considerations into the probabilistic framework in the form of system well-being analysis. Incorporating this framework in system operation overcomes some of the difficulties in interpreting the risk index and also provides the system operator with important information on the degree of system well-being. The intent of this paper is to present the basic mathematical principles of short-term generating reserve scheduling utilizing the well-being framework. The evaluation process is illustrated using an educational test system, designated as the RBTS.