No abstract

This paper presents results of research aimed at improving efficiency of coordinated on-line control of system voltage and reactive power on the basis of developing models, methods, and a control system, integrating traditional numerical techniques with fuzzy logic technology. An approach associated with experimental design is considered to construct diverse types of sensitivity indices, which serve as the basis for multi-attribute evaluating efficiency of control actions and, therefore, for forming rules included in knowledge base. Questions of the construction and tuning of linguistic variables as well as rational implementation of fuzzy logic procedures are discussed. 0-7803-5446-X/99 $10.00 0 1999 IEEE

No abstract

This paper presents results of research aimed at improving the efficiency of coordinated on-line control of voltage and reactive power on the basis of developing models, methods, and a control system integrating traditional numerical methods with fuzzy logic technology. An approach based on experimental design is applied to construct diverse types of sensitivity indices, which serve for evaluating efficiency of control actions and, therefore, for constructing fuzzy production rules included in knowledge base. The rules considered in the paper are applicable for voltage and reactive power control in regulated and deregulated environments. Questions of constructing linguistic variables and tuning a fuzzy model are discussed. Some aspects of rational carrying out fuzzy logic procedures are considered.Index Terms--experimental design, fuzzy logic procedures, fuzzy model tuning, fuzzy production rules, regulated and deregulated environments, sensitivity indices, voltage and reactive power control.

115, Borschagovskaya Str., office 310 ' Kiev 252056, UkraineAbstract: The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are formulated within the framework of multicriteria optimization models. This permits one to realize a new technology of load management providing consideration and minimization of diverse negative consequences of power and energy shortage allocation and creation of incentive influences for consumers. The solution of multicriteria problems is based on the Bellman-Zadeh approach to decision making in a fuzzy environment. The advantages and capabilities opened by its application are discussed. The results of the paper are realized within the framework of an adaptive interactive decision making system, which can be used in allocating diverse types of resources or their shortages.

This paper presents results of research related to the second stage of the project dedicated to developing and employing the xOMNI system (software of the SCADA type). This stage is associated with the elaboration of the Energy Management System (EMS) for the subtransmission system of the Minas Gerais State Energy Company. One of the most important EMS functions is voltage and reactive power control. Its implementation is based on the use of fuzzy logic technology. Taking this into account, the paper covers the consideration of questions of building diverse types of sensitivity indices and forming production rules providing comprehensive and flexible solutions in conditions of regulated and deregulated environments. Some aspects of rational carrying out fuzzy logic procedures are considered as well.

No abstract

No abstract