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Maskani H.,Mashhad Electrical Energy Distribution Company | Maskani H.,Birjand University | Ashouri M.,Babol Noshirvani University of Technology | Bakhshideh Zad B.,University of Mons | And 2 more authors.
International Review on Modelling and Simulations | Year: 2012

The dynamic economic load dispatch problem (DELDP), with the consideration of valve-point effects, is a complicated non-linear constrained optimization problem with nonsmooth and non-convex characteristics. The main goal of DELDP is to find out the optimal generation schedule of the generators corresponding to the most economical operating point of the system over the considered timing horizon. In this paper, a new swarm based optimization algorithm, so called gravitational search algorithm (GSA) has been proposed to solve the DELDP with considering valve-point effects and transmission power loss constraints. The performance of the proposed method is rigorously tested for optimality, convergence, robustness and computational efficiency on a 10-unit test system with a 24-h load demand at each 1-h time intervals which is so well-known and common in literature. The proposed algorithm also takes care of different constraints like power balance, ramp rate limits and generation limits. The simulation results reveal that, compared with other methods reported in literatures recently, the proposed GSA method are capable of obtaining better quality solutions with higher efficiency. In addition, sensitivity analysis has been performed on the controlling parameters of GSA to reach the best arrangement for them. © 2012 Praise Worthy Prize S.r.l. - All rights reserved. Source


Karbakhsh M.,Ferdowsi University of Mashhad | Abutorabi H.,Ferdowsi University of Mashhad | Khazaee A.,Mashhad Electrical Energy Distribution Company
2012 2nd International eConference on Computer and Knowledge Engineering, ICCKE 2012 | Year: 2012

In this paper a robust intelligent controller is adopted in order to fulfil maximum power point tracking (MPPT) algorithm for permanent magnet synchronous generator (PMSG) with the application of wind turbines. Conventional linear PI controller is simple and easy to implement but it has the drawback of dependence on system parameters especially in a wind energy conversion system with large amount of uncertainties as a sequence of wind speed variation. Due to inherent robustness to uncertainties in fuzzy logic controller, it can be used effectively in wind energy conversion system. However designing procedure and gain tuning could be a challenging approach. In this paper the initial parameters of FLC are obtained from the parameters of its well-tuned linear counterpart. This is a flexible control scheme that takes advantage of the best features of fuzzy control, robustness to uncertainties, and of PI controller, simple tuning procedure. This intelligent controller is designed in presence of mechanical parameters as well as mechanical torque disturbance, which is the most concerned uncertainty in wind turbines. Simulation results clearly shows performance of proposed robust fuzzy PI control system in maximum power points tracking in a wind energy conversion system. © 2012 IEEE. Source


Souran D.M.,Khorasan Power Engineering Consultant Company MONIRAN | Souran D.M.,Mashhad Electrical Energy Distribution Company | Safa H.H.,Mashhad Electrical Energy Distribution Company | Moghadam B.G.,Khorasan Power Engineering Consultant Company MONIRAN | And 2 more authors.
Advances in Intelligent Systems and Computing | Year: 2016

The smart grid, which is known as the next-generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This article is a survey of smart grid literature till 2011 on the enabling technologies for the smart grid. In this paper, three major systems are explored namely the smart infrastructure system, the smart management system, and the smart protection system. Possible future directions are also proposed in each system. For the smart infrastructure system, we specifically explore the smart energy subsystem, the smart information subsystem, and the smart communication subsystem. Various management objectives, such as improving energy efficiency, profiling demand, maximizing utility, reducing cost, and controlling emission are explored for the smart management system and for the smart protection system, various failure protection mechanisms which improve the reliability of the smart grid, and the security and privacy issues in the smart grid are explored. © Springer International Publishing Switzerland 2016. Source


Souran D.M.,Khorasan Power Engineering Consultant Company MONIRAN | Safa H.H.,Mashhad Electrical Energy Distribution Company | Moghadam B.G.,Khorasan Power Engineering Consultant Company MONIRAN | Ghasempour M.,Mashhad Electrical Energy Distribution Company | And 2 more authors.
Advances in Intelligent Systems and Computing | Year: 2016

Electrical power distribution system plays an important role in delivering electricity to consumers in the power system. Electrical power utilities are extensively adopting the computer-aided monitoring, control and management of electric power distribution system to provide many improvements in the consumer services increasingly. Therefore, research and development activities are being carried out extensively to automate the electric power distribution system which are applying recent advancements in the area of Information Technology (IT) and data communication system. Flexible control of distribution systems, which can be used to enhance efficiency, reliability, and quality of electricity services is implemented by the automation in the distribution field. Nowadays worldwide research and developments are emphasized on the area of communication technologies revolution and application of IEC61850 protocol in the distribution system automation and try to lead it to higher intelligence and efficiency. In this paper, a brief overview about the distribution system automation is presented. The information given in this paper is useful to electric power distribution utilities and academicians involved in research and development activities in the area of power distribution automation. © Springer International Publishing Switzerland 2016. Source


Maskani H.,Mashhad Electrical Energy Distribution Company | Maskani H.,Birjand University | Ashouri M.,Babol Noshirvani University of Technology | Bakhshideh Zad B.,University of Mons | Alishahi S.,Mashhad Electrical Energy Distribution Company
International Review on Modelling and Simulations | Year: 2012

Investments made in the energy sector have a strong influence on the degree of dependence between economies, their competitiveness, sustainability, and on all sorts of environmental aspects including climate change. Recently, using renewable energy sources as distributed generation systems are expanding through the world. In this paper, a photovoltaicwind generator system is designed as a distributed generation system to supply a typical scheduled load. The goal of mentioned design is to minimize the total cost of the system in a 20- year round, during its life time. A new optimization algorithm based on swarm-based intelligence which is called gravitational search algorithm (GSA) has been applied to optimize the total cost. Finally, by using data of wind speed and irradiance of a province in north of Iran, which is called Ardebil, the model was simulated for the province and then, optimization process was implemented using the proposed algorithm. Simulation results show that using renewable energy sources as distributed generation systems for small consumers are economically profitable. © 2012 Praise Worthy Prize S.r.l. - All rights reserved. Source

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