Abstract

Power system operation should be carried out by taking into account both economy and security that are contradictory to each other. Optimal power flow (OPF) can be used as a powerful tool for making operation plans to compromise these objectives. Newton type OPF is very fast in its execution due to the adoption of sparse techniques and hence it is the most promising algorithm as on-line applications. In energy control centers, the OPF algorithm would be used interactively by system operators. If the OPF does not yield a converged solution in such on-line environment, it must be extremely difficult to correctly identify the causes of nonconvergence and take necessary measures. This paper is to propose an expert system for assisting the on-line OPF algorithm whose knowledge base is extracted from acquired know-how through the development research of the Newton OPF in our research group. The main objective of this expert system is to assist operators to obtain a converged OPF solution when the first OPF run fails to give a satisfactory solution. That is, the system first tries to obtain a solution by taking several countermeasures based on the knowledge base. In case a solution still cannot be obtained, the system then displays possible cause for nonconvergence, thus making it possible for the operator to change or relax some of constraints listed. Therefore, this expert system works not only as an automatic trouble-shooter, but also as a consultation system. This expert system will enhance the credibility and reliability of the OPF algorithm as an on-line tool.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call