The increasing concern of global climate changes, the promotion of renewable energy sources, primarily wind generation, is a welcome move to reduce the pollutant emissions from conventional power plants. Integration of wind power generation with the existing power network is an emerging research field. This paper presents a meta-heuristic algorithm based approach to determine the feasible dispa...

nowadays, energy plays an important role in the economic and community development of country. consequently, performance analysis of energy systems is one of the effective methods being used to prevent waste of energy resources. among the different power generation technologies, steam power plants make a significant contribution to power generation in iran, with a share of 47 % of electricity g...

power transformers provide a vital link between the generation and distribution of produced energy. such static equipment is subjected to abuse during operation in generation and distribution stations and leads to catastrophic failures. this paper reviewed the techniques in the field of condition monitoring of power transformers in recent years. transformer monitoring and diagnosis are the effe...

due to the high penetration of wind farms in the networks, they can have a significant role in the control of power systems. in this paper, wind farms (wfs) are used to improve the static security margins of the power system. generation rescheduling is one of the remedies to improve the static security margins of the power system. in this paper, the generation rescheduling is presented based on...

In power estimation, one is faced with two problems: 1) generating input vector sequences that satisfy a given statistical behavior (in terms of signal probabilities and correlations among bits); 2) making these sequences as short as possible so as to improve the efficiency of power simulators. Stochastic sequential machines (SSMs) can be used to solve both problems. In particular, this paper p...

Since the electrification of individual traffic may cause a critical load to power grids, methods have to be investigated that are capable of handling its highly stochastic behaviour. From a power grid’s point of view, forecasting applications are needed for computing optimal power generation schedules that satisfy end-user’s energy needs while considering installed capacities in the grid. In t...

nowadays, energy plays an important role in the economic and community development of country. consequently, performance analysis of energy systems is one of the effective methods being used to prevent waste of energy resources. among the different power generation technologies, steam power plants make a significant contribution to power generation in iran, with a share of 47 % of electricity g...

In power estimation, one is faced with two problems: 1) generating input vector sequences that satisfy a given statistical behavior (in terms of signal probabilities and correlations among bits); 2) making these sequences as short as possible so as to improve the efficiency of power simulators. Stochastic sequential machines (SSMs) can be used to solve both problems. In particular, this paper p...

The primary objective of this dissertation is to develop a black box optimization tool. The algorithm should be able to solve complex nonlinear, multimodal, discontinuous and mixed-integer power system optimization problems without any model reduction. Although there are many computational intelligence (CI) based algorithms which can handle these problems, they require intense human interventio...

Based on the increasing property of ratio of average reversed hazard rates of two non-negative random variables a new stochastic order for the sake of comparison of two lifetime distributions is proposed. This stochastic order admits some distinguishing properties. In order to illustrate the obtained results, a semi-parametric model which is called reverse hazard power and a mixture model of pr...