首页> 外文会议>19th annual joint ISA POWID/EPRI controls and instrumentation conference and 52nd ISA POWID symposium 2009 >Wireless Monitoring of Power Plants: State Estimation by a Moving Horizon-Based Optimization Approach
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Wireless Monitoring of Power Plants: State Estimation by a Moving Horizon-Based Optimization Approach

机译:发电厂的无线监控:基于移动视野的优化方法的状态估计

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Wireless sensor network (WSN) is receiving increasing attention in the Power Industry community because of a number of obvious advantages over wired cable, such as low cost, flexible installation and easy upgrade, to just name a few. To replace the wired systems via wireless ones, several technical challenges including, for instance, constrained communication capabilities, must be overcome. Due to wireless communication limits, sending data packets are subject to losses and delays. The purpose of this paper is to present a strategy that addresses the issue, by developing a wireless monitoring scheme for power plant systems that includes a data recover estimator. Under the assumption that the delivering rates from sensors satisfy certain conditions, the states of the power plant systems can be estimated by an online, moving horizon-based optimization approach. Plant control simulation results are given to illustrate the effectiveness of the proposed estimation and monitoring scheme.
机译:无线传感器网络(WSN)在电力行业中正受到越来越多的关注,这是因为与有线电缆相比,无线传感器网络具有许多明显的优势,例如成本低,安装灵活和易于升级等。为了通过无线系统替换有线系统,必须克服包括限制通信能力在内的若干技术挑战。由于无线通信的限制,发送数据包会遭受损失和延迟。本文的目的是通过开发一种用于电厂系统的无线监视方案(包括数据恢复估计器),提出解决该问题的策略。在传感器的输送速率满足特定条件的假设下,可以通过基于移动的,基于地平线的在线优化方法来估算电厂系统的状态。给出了工厂控制仿真结果,以说明所提出的估算和监控方案的有效性。

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