Power systems
Javad Rahmanifard
Abstract
This paper presents a comprehensive investigation into the design principles and operational characteristics of dual three-phase permanent magnet (PM) machines. The study focuses on optimizing the winding arrangement and slot-pole combinations for enhanced performance and reliability. Through detailed ...
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This paper presents a comprehensive investigation into the design principles and operational characteristics of dual three-phase permanent magnet (PM) machines. The study focuses on optimizing the winding arrangement and slot-pole combinations for enhanced performance and reliability. Through detailed analysis, an optimal configuration is proposed, and a dual three-phase machine based on this design is developed. The operational behavior of the machine is thoroughly examined under healthy conditions, with particular attention given to its thermal performance to ensure it can sustain high power density and output power without compromising reliability. The effectiveness of the proposed design and thermal analysis is validated through advanced simulation results, which demonstrate the motor's robust performance, efficiency, and ability to maintain stable operation under demanding conditions. Under natural cooling, the dual three-phase motor operates safely within its thermal limits, with a maximum winding temperature of 139.99℃, below the 180℃ insulation limit, and a maximum magnet temperature of 105.62℃, below the 150℃ limit. This research highlights the potential of dual three-phase PM machines for applications requiring high reliability and performance.
Power systems
Mahdi Samadi; Karim Karami Nezhad; Elahe Zakikhani
Abstract
The interruptible load program (ILP) is one of the most common demand response programs, which is often used by industrial customers. The purpose of implementing this program is to reduce the customer's peak demand in response to the incentives set by a contract. If no attention is paid to characteristics ...
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The interruptible load program (ILP) is one of the most common demand response programs, which is often used by industrial customers. The purpose of implementing this program is to reduce the customer's peak demand in response to the incentives set by a contract. If no attention is paid to characteristics of the industrial customer's production process, the participation in ILP will not be possible. Therefore, complying with customer's technical constraints and optimal design of the program is of great importance. This study aims to present a new model for the optimal design of ILP from the perspective of a cement manufacturing company as an industrial customer. In this regard, the manufacturing process and the constraints of operation of a cement plant are fully modeled and all relevant constraints and requirements are considered. The objective function is the maximum profit, so the ILP is designed such that the cement plant's profit can be maximized without disrupting the normal performance of the production process. The proposed optimization problem is a mixed-integer non-linear one for which a suitable genetic algorithm is designed and used. In the proposed approach, the optimal incentive level is determined by assuming a specific budget level (related to the power company). The implementation of the proposed optimal design will satisfy the power system operator for reducing peak demand and the customer for earning more profit.
