Optimization
amirreza yari; Mahmoud Reza Shakarami; farhad namdari; Hassan Moradi CheshmehBeigi
Abstract
Nowadays, the power distribution companies are working in a competitive atmosphere. Therefore, a major goal for electricity distribution managers is to provide the electrical energy with high reliability level with considering the economic issues.The Reliability- centered maintenance (RCM) is an efficient ...
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Nowadays, the power distribution companies are working in a competitive atmosphere. Therefore, a major goal for electricity distribution managers is to provide the electrical energy with high reliability level with considering the economic issues.The Reliability- centered maintenance (RCM) is an efficient way of realizing this aim and improving the network maintenance processes. This approach is an operative step to improve the reliability of critical equipment and overall system performance which may reduce the costs of utilities.This paper, by using RCM provides a practical model for maintenance scheduling by considering the economic risk function and the budget restriction based on the cost of preventive maintenance (PM) and value of lost load (VOLL). In this method, PM schedules are proposed based on failure causes of different network elements. Studied elements include overhead lines, underground cables and power switches (circuit breaker (CB), manual and remote control switches (RCSs)). Failure cause and average repair time of each element is determined through data mining in geographical information system (GIS) and ENOX. For more realistic modeling and the consideration of the network loads’ uncertainties, the fuzzy triangular method is used. Due to the inconsistency between the problem’s goals, the non-dominated sorting genetic algorithm (NSGA II) is employed. Results show the effectiveness of the proposed method.
Industrial Electronics
Hassan Moradi CheshmehBeigi; Alireza Mohamadi
Abstract
This paper presents a new and improved Torque Sharing Function (TSF) to minimize torque ripple of Switched Reluctance Motor (SRM). This approach combined of three steps. At first step, Genetic Algorithm has been used to define the best Turn-on and Turn-off angel of phase current. At second step, a fuzzy ...
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This paper presents a new and improved Torque Sharing Function (TSF) to minimize torque ripple of Switched Reluctance Motor (SRM). This approach combined of three steps. At first step, Genetic Algorithm has been used to define the best Turn-on and Turn-off angel of phase current. At second step, a fuzzy logic controller system has been designed as a new TSF. Finally, at the last step, Particle Swarm Optimization (PSO) has been used to optimize Fuzzy membership function. The two main merits of this approach are that the proposed control algorithm can be used in wide speed ranges and also three-step-design and optimization makes this approach enable to perfectly results in smooth torque. The effectiveness of this approach has been verified through a simulation of four phase 8/6 SRM in Matlab/Simulink. Obtained result from simulation shown that the produced torque was high quality and its ripple was one-third of fuzzy TSF. This proposed method is very powerful to adapt itself for various kind of SRMs with different parameters.
