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Fuzzy adaptive particle swarm optimisation for power loss minimisation in distribution systems using optimal load response

机译:使用最佳负载响应的配电网中功率损耗最小化的模糊自适应粒子群优化

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Consumers may decide to modify the profile of their demand from high price periods to low price periods in order to reduce their electricity costs. This optimal load response to electricity prices for demand side management generates different load profiles and provides an opportunity to achieve power loss minimisation in distribution systems. In this study, a new method to achieve power loss minimisation in distribution systems by using a price signal to guide the demand side management is proposed. A fuzzy adaptive particle swarm optimisation is used as a tool for the power loss minimisation study. Simulation results show that the proposed approach is an effective measure to achieve power loss minimisation in distribution systems.
机译:消费者可以决定将其需求的概况从高价时段修改为低价时段,以降低其电费。需求侧管理对电价的这种最佳负载响应产生了不同的负载曲线,并为实现配电系统中的功率损耗最小化提供了机会。在这项研究中,提出了一种新的方法,该方法通过使用价格信号指导需求侧管理来实现配电系统中的功率损耗最小化。模糊自适应粒子群优化被用作功率损耗最小化研究的工具。仿真结果表明,该方法是实现配电系统功耗最小化的有效措施。

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