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There have been many debates over whether the energy-only electricity market will be able to provide a reasonable investment signal. So far, many diverse designs of capacity mechanisms have been proposed in relation to the adequacy problem. Researchers have conducted many qualitative studies of capacity mechanisms, but quantitative studies have largely been ignored. The framework for examining the impacts of market designs on generation adequacy considering various generation technologies have not been maturely developed. This paper focuses on developing this framework and finding out how effective capacity mechanisms are in different market conditions. To cover investment under uncertainty, we will introduce different utility functions representing risk attitudes and apply the expected utility theory to the investment decision. Finally, we will examine the investment decision sensitivity of the risk components such as the risk-attitude, the error of forecast peak load, and the forced outage rate and evaluate the performance of three market designs with dynamic simulations: an energy-only market, a capacity payment model, and a capacity demand curve model. [ABSTRACT FROM PUBLISHER]

Electric power transmission utilities try to maximize profit by reducing electricity supply costs and operation costs while maintaining their reliability. Developing maintenance strategies is one of the effective ways to achieve these profitable goals. The reliability-centered maintenance approach is a key method in providing optimal maintenance strategies. It considers the tradeoffs between the upfront maintenance costs and the potential costs of reliability losses. Since a transmission system is a group of different kinds of equipment and the reliability of the electric facilities varies with time, an equipment state model using a modified semi-Markov chain is proposed. In addition, a genetic algorithm is used to find the optimal maintenance strategies from a large class of possible maintenance scenarios. These optimal maintenance strategies have been tested on an IEEE 9-bus system and an IEEE 118-bus system; the results show that the proposed method minimizes the total expected costs. [ABSTRACT FROM AUTHOR]

Proposes an expert system using fuzzy relations to deal with uncertainties imposed on the fault section diagnosis of power systems. Motivation of fuzzy set theory; Protection system of power systems; Fuzzy relations and sagittal diagrams for power systems; Procedure of diagnosis; Justification of the study; Implementation of the uncertainties; Conclusions.