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Minimising losses of SEIG using constrained particle swarm optimisation considering voltage regulation

机译:考虑电压调节的约束粒子群优化可最大程度地减少SEIG的损耗

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摘要

Induction generators are widely used in various applications since they offer distinct advantages over conventional synchronous machines, like a simplified design, installation at lower capital cost and substantial savings in operation and maintenance expenses. The wind turbine induction generator systems are proposed to supply isolated loads under widely varying conditions. These conditions are the wind speed and load variations. Under these varying conditions, there will be some changes in the terminal generated voltage. The terminal voltage can be regulated by adapting the value of excitation capacitance required for the induction generator. This paper presents a constrained particle swarm optimisation technique for minimising the power losses of self-excited induction generator with terminal voltage control under operating conditions by selecting the suitable capacitance required for generator excitation. Testing of the proposed technique over conventional particle swarm optimisation technique is performed. Results signify the supremacy of the proposed technique over conventional particle swarm optimisation technique.
机译:感应发电机比常规同步电机具有明显的优势,因为它们具有比传统同步电机明显的优势,例如简化了的设计,以较低的资金成本进行安装以及显着节省了运行和维护费用。提出了风力涡轮机感应发电机系统以在广泛变化的条件下供应隔离负载。这些条件是风速和负载变化。在这些变化的条件下,端子产生的电压会有一些变化。可以通过调整感应发电机所需的激励电容值来调节端子电压。本文提出了一种约束粒子群优化技术,通过选择合适的发电机励磁所需的电容,在工作条件下通过端电压控制将自励感应发电机的功率损耗降至最低。在传统的粒子群优化技术上对提出的技术进行了测试。结果表明所提出的技术优于传统的粒子群优化技术。

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