控制重构
计算机科学
块链
模型预测控制
容错
故障检测与隔离
分布式计算
断层(地质)
能量(信号处理)
残余物
点对点
安全控制
故障管理
控制(管理)
控制器(灌溉)
多智能体系统
实时计算
计算机安全
嵌入式系统
工程类
执行机构
人工智能
农学
统计
数学
结构工程
算法
地震学
节点(物理)
生物
地质学
作者
Manuel Sivianes,Pablo Velarde,Ascensión Zafra‐Cabeza,Carlos Bordons
标识
DOI:10.1109/etfg55873.2023.10407614
摘要
This work describes a distributed control system that optimizes energy management using model predictive control in an energy community. The system has been extended to provide each agent with a fault-tolerant mechanism that can detect, isolate, and reconfigure agents in the event of faults. Fault detection is based on residual signal calculations and probability-based thresholds that minimize false faults. Once a fault has been identified, reconfiguration is done by adjusting the parameters of the agent's predictive controller to bring the system to an acceptable level of security. If the reconfiguration affects more than one agent, the information can be shared with the other agents. The entire control system is implemented using a blockchain network smart contract to provide the energy community security and integrity features. The proposed control strategy has been assessed through several simulations in an energy community.
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