This research presents new algorithms for subtransmission simultaneous substation and network expansion planning. Given an existing system model, the projected load growth in a target year and various system expansion options, the algorithms find the optimal mix of sys More
This research presents new algorithms for subtransmission simultaneous substation and network expansion planning. Given an existing system model, the projected load growth in a target year and various system expansion options, the algorithms find the optimal mix of system expansion options to minimize the cost function subject to various system constraints and single contingencies on lines and transformers.
The system expansion options considered include building new subtransmission lines/substations, the capacity to be upgraded and the service area of HV/MV substations. In this research, Genetic Algorithm (GA) with new coding, Ant Colony algorithm (AC) and hybrid Ant Colony and Genetic Algorithm (AC&GA) methods are employed. The optimization results are compared with successive elimination method to demonstrate the performance improvement.
Manuscript profile
In this paper, the use of the supplementary controller of a Unified Power Flow Controller (UPFC) to improve damping of oscillations in Single Machine Infinite Bus (SMIB) system is investigated. The controller was designed based on a linearized modified Phillips Heffron More
In this paper, the use of the supplementary controller of a Unified Power Flow Controller (UPFC) to improve damping of oscillations in Single Machine Infinite Bus (SMIB) system is investigated. The controller was designed based on a linearized modified Phillips Heffron model of SMIB in state space form. In practice systems use simple Proportional Integral (PI) controllers to control UPFC. However, since the PI control parameters are usually tuned based on classical or trial-and-error approaches, they are incapable of obtaining a good dynamic performance for a wide range of operation conditions. To address this problem, in this research an optimization approach, based on the Genetic Algorithms (GA) method is proposed for the design of UPFC controller (supplementary damping controller) for increasing damping of power system oscillations is developed. Several linear and nonlinear time-domain simulation tests clearly show the effectiveness and validity of the proposed method in enhancing of oscillations257-260damping. Comparisons between the performances of both the proposed and conventional supplementary controllers are made. Computer test results show that proposed method is very effective in oscillations damping and in the meantime is more robust than its conventional counterpart.
Manuscript profile
In this paper, an intelligent feature selection method for recognition of Persian handwritten digits is presented. The fitness function associated with the error in the Persian handwritten digits recognition system is minimized, by selecting the appropriate features, us More
In this paper, an intelligent feature selection method for recognition of Persian handwritten digits is presented. The fitness function associated with the error in the Persian handwritten digits recognition system is minimized, by selecting the appropriate features, using binary gravitational search algorithm. Implementation results show that the use of intelligent methods is well able to choose the most effective features for this recognition system. The results of the proposed method in comparison with other similar methods based on genetic algorithm and binary particle method of optimizing indicates the effective performance of the proposed method.
Manuscript profile
This paper ε-multi objective genetic algorithm variable (εV-MOGA) to optimize cost of generation, emission and active power transmission loss of flexible ac transmission systems (FACTS) device-equipped power systems. In the proposed approach, optimal power flow problem More
This paper ε-multi objective genetic algorithm variable (εV-MOGA) to optimize cost of generation, emission and active power transmission loss of flexible ac transmission systems (FACTS) device-equipped power systems. In the proposed approach, optimal power flow problem is formulated as a multi-objective optimization problem. FACTS devices considered include thyristor controlled series capacitor (TCSC). The proposed approach has been examined and tested on the modified IEEE 57-bus test system. The results obtained from the proposed approach have been compared with those obtained from nondominated sorting genetic algorithm-II, multi-objective differential evolution.
Manuscript profile