Seyyed Hamid Elyas

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Electric power engineers and researchers need appropriate randomly generated grid network topologies for Monte Carlo experiments to test and demonstrate new concepts and methods. Our previous work proposed a random topology power grid model, called RT-nested-small-world, based on a comprehensive study of the real-world grid topologies and electrical(More)
In this paper, an optimal parameter assignment methodology for intelligent controller based on computational model of emotional learning in mammalian brain is presented. Brain Emotional Learning Based Intelligent Controller (BELBIC) is an intelligent controller based on emotional learning process in mammalian limbic system. The proposed controller has been(More)
Our previous work proposed a random topology power grid model, called RT-nested-smallworld, formulated based on a comprehensive study of the real-world grid topologies and electrical properties. The model can be used to produce a sufficiently large number of power grid test cases with scalable network size and featuring the same kind of small-world topology(More)
This paper presents our study results on the correlated assignment of generation, load, or connection buses in a given grid topology and the development of an optimized search algorithm to improve the proposed synthetic grid model, called RT-nestedSmallWorld. A numerical measure, called “Bus Type Entropy”, was proposed in an initial study on(More)
This paper mainly focuses on statistical analysis of transmission line capacities in terms of both topology and electrical parameters. We expand our earlier work on random-topology power grid modeling as a way to generate synthetic grid data to test new concepts and designs. We examine transmission line capacities based on both network topology metrics and(More)
Demand Side Management (DSM) strategies are often associated with the objectives of smoothing the load curve and reducing peak load. Although the future of demand side management is technically dependent on remote and automatic control of residential loads, the end-users play a significant role by shifting the use of appliances to the off-peak hours when(More)
Economic load Dispatch (ED) is one of the most important problems in power system operation. It is a nonlinear non-convex problem which stochastic search algorithms seem to be appropriate solutions. This study tries to propose a new method which is derived from the combination of two different algorithms, CLONAL as the basic algorithm and PSO. The proposed(More)
In this paper we review and expand our previous work on developing random topology networks as a way to generate synthetic power grid data. We first present an algorithm that is able to generate the small-world “eletric” topology appropriate for a transmission network. Next we re-examine the definitions of the proposed numerical measure called(More)
This paper investigates the problem of generation and load settings in a synthetic power grid modeling of high-voltage transmission network, considering both electrical parameters and topology measures. Our previous study indicated that the relative location of generation and load buses in a realistic grid are not random but correlated. And an entropy based(More)
This article tries to introduce a demand side bidding strategy in capacity market alongside a pay as bid capacity market where consumers compete with each other in order to purchase apart of their required capacity during peak periods. The method can be widely used in upcoming smart grids where smart counters are deterrent to prevent consumers to use(More)