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Mohseni-Mansur S.M.,Shahid Beheshti University | Pirayesh A.,Shahid Beheshti University | Abdollahi-Mansoorkhani H.R.,Sharif University of Technology | Abedini-Duki E.,Mazandaran electrical distribution company
International Review of Electrical Engineering | Year: 2013

With increasing concern of environmental protection and economic considerations, Wind energy has drawn much attention recently due to its high benefits to the reduction of emissions and reduction of dependency on fossil fuels. In this paper, a load dispatch model is developed for the system consisting of both thermal generators and wind turbine by GAMS Software and the recently introduced optimization strategy, Imperialist Competitive Algorithm (ICA). In addition, transmission loss is considered which approximate the system losses as a quadratic function of the real power generation with B-losses coefficients. To better represent the conditions in real power systems, the cost of modern thermal units with multiple valves is considered. For solving optimization problems, when the statistical data is not enough to support stochastic optimization, scenario analysis is one of the common methods. The performance of the proposed method is demonstrated by applying it to a 30-bus system.The total results show that ICA is a powerful and reliable tool for solving complex optimization problems. Comparison of results with those of other methods proves the effectiveness of the proposed method with regards to minimizing both the total cost and execution time. © 2013 Praise Worthy Prize S.r.l. - All rights reserved. Source


Sedighizadeh M.,Shahid Beheshti University | Dakhem M.,Imam Khomeini International University | Sarvi M.,Imam Khomeini International University | Kordkheili H.H.,Shahrood University of Technology | Kordkheili H.H.,Mazandaran electrical distribution company
International Journal of Energy and Environmental Engineering | Year: 2014

Optimal reconfiguration and capacitor placement are used to reduce power losses and keep the voltage within its allowable interval in power distribution systems considering voltage, current, and radial condition constraints. It is needed to solve two nonlinear discrete optimization problems simultaneously, so an intelligent algorithm is used to reach an optimum solution for network power losses. An effective method and a new optimization algorithm using “improved binary PSO” is presented and discussed to minimize power losses in distribution network by simultaneous networking of reconfiguration and capacitor placement. The proposed model uses binary strings which represent the state of the network switches and capacitors. The algorithm is applied and tested on 16- and 33-bus IEEE test systems to find the optimum configuration of the network with regard to power losses. Five different cases are considered and the effectiveness of the proposed technique is also demonstrated with improvements in power loss reduction compared to other previously researched methods, through MATLAB under steady-state conditions. © 2014, The Author(s). Source


Sadati S.M.B.,Islamic Azad University at Sari | Yazdani-Asrami M.,Islamic Azad University at Sari | Takami M.M.M.,Mazandaran electrical distribution company
Research Journal of Applied Sciences, Engineering and Technology | Year: 2012

Nowadays reduction of distribution system losses is the most important priority in design and operation of electrical networks. In an electrical network a significant percentage of power and energy produced in power plants is wasted in the path of generation to distribution system. Losses may appear in all levels of power system, i.e. generation, transmission, and distribution system. High current levels, low voltage levels, and radial structure of distribution system lead to a high percentage of losses. For instance, in 2010, approximately 75% of losses occurred in distribution systems in IRAN. Several methods have been proposed to reduce losses, such as capacitor placement in medium and low voltage levels, reconfiguration in networks, increasing cross section in conductors, etc. In recent years, the approach of decreasing or eliminating low voltage distribution networks has been proposed. In this study, at first, the origins of losses in distribution system are reviewed and then strategies for loss reduction are investigated. Then, by decreasing of length of low voltage distribution system in a sample feeder in Mazandaran province power Distribution Company, losses and voltage drop is calculated. Finally, the economic justification of the proposed solution is presented. © Maxwell Scientific Organization, 2012. Source


Duki E.A.,Mazandaran electrical distribution company
2012 Proceedings of 17th Conference on Electrical Power Distribution, EPDC 2012 | Year: 2012

Combined heat and power (CHP) is a well-known technique for producing heat and power simultaneously onsite. Since it has high energy efficiency, low installation time and high reliability, it is an appropriate approach in energy management of residential complexes. In this paper, two-stage stochastic programming is proposed to manage uncertainties in the optimal sizing and operation of CHP for residential complexes. Monte Carlo approach is used to model electrical and thermal load forecasting errors. Maximizing net present value considering the probability of each scenario obtained from the scenario reduction algorithm is the objective function. The proposed method has been applied on a hospital and the results for different scenarios are presented. © 2012 Iranian Association of Elect. Source

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