مقالات رزومه دکتر محمود فتوحی فیروزآباد

Due to the complexity of distribution networks, preventive maintenance is very important. Incentive regulation is also one of the factors influencing the performance of distribution companies, which in turn complicates maintenance planning. This paper addresses the issue of preventive maintenance planning to enhance reliability in the presence of reward and penalty as a motivational factor. Therefore, the profit function of the distribution company, which includes the cost of repairs and reward-penalty, is optimized. In the incentive model for measuring the performance, reliability indices are compared by feeders, and in contrast, the repair program is obtained for each feeder separately. Due to the different causes of feeder failure such as their structural properties and weather conditions, increasing the accuracy of performance comparison from companies to feeders, in addition to penalties and rewards assigning leads to maximise the impact of maintenance at the level of their reliability and is accompanied by cost savings. For this purpose, the information of a real network including 194 feeders is considered as primary data. After categorizing the feeders and calculating penalties and rewards, the profit from the provision of services are optimized by BPSO method. As a result, the preventive maintenance program is obtained separately for feeders for three general categories of frequent failures, which includes substation failure, line failure and tree branch collision in a period of 5 years. The optimization results show that the proposed method, while maximizing the profits of distribution companies, also improves their performance in terms of reliability.

The present context of the electric industry, characterized by competitive markets, privatization, and regulatory of technical requirements forces the power utilities to optimize their asset management practices and develop the requisite decision plans techno-economically. Practically approaching, this paper devises a new support tool based on a multiattribute decision making (MADM) framework in combination with analytical hierarchical process (AHP) to determine the most critical components of power transmission systems. Measure of system-wide reliability performance, outage cost, Locational marginal prices demonstrative of market fairness, and network losses are among the attributes considered in this paper for component criticality assessment. With the frequent existence of qualitative and quantitative attributes, the proposed approach can effectively help to deal with the existent uncertainty and conventional judgment vagueness. As verified in a case study on the IEEE Reliability Test System (IEEE-RTS), the proposed framework introduces its applicability and efficiency for the practical asset management optimizations in electric utilities.

In recent years¡ due to environmental concerns together with rising costs of the fossil fuels¡ the wind energy usage in electricity generation of various countries has experienced a growing trend. Owing to inherent characteristics of wind turbines output generation¡ i.e. uncertainty in their output level as well as being undispatchable¡ the rapid growth of installed wind farms¡ however¡ has caused some new challenges in operation and planning studies of power systems. Among the major challenges in operation of high wind penetrated power systems¡ wind energy curtailment has been considered as an attractive ongoing area of research which can significantly determine the capacity credit of wind farms. In this regard¡ this paper at first tries to model the uncertainty in wind farms output level exploiting an analytical method and then it proposes an innovative fossil units redispatch algorithm as a short term solution in wind energy curtailment issues. The wind energy maximization is introduced as the objective function of the redipatch problem. In order to investigate the abilities of the proposed method in reducing the curtailment level of wind farms¡ various cases are applied to the modified IEEE 24 bus Reliability Test System (IEEE-RTS) and the obtained results confirms its applicability.

In recent two decades, restructuring and unbundling of vertically-integrated monopolies into separate generation, transmission and distribution entities were the most important issues of the power system, due to the excessive growth in electrical energy consumption and limited governmental funds. Aging equipment of power system and appearance of modern technologies in recent years have made new issues for system operators. As a response to these issues, smart grid is emerged to make two-way communication and even electricity flow between end-users and utilities possible. Reliability improvement of distribution networks, exploiting the sustainable energy resources, and energy efficiency are the three fundamental consequences of smart grid realization. In this paper, smart grid is treated as a new paradigm in electricity industry. Various technical and technological concepts, i.e. distributed generation (DG), plug-in hybrid electric vehicle (PHEV), distributed energy resource (DERs) are probed and their impacts on the planning and operation of the modern electricity industry is investigated in this paper. Finally, cyber security challenges are investigated in the smart grid area. Finally, cyber security challenges are investigated in the smart grid area.