Event-Triggered Distributed Consensus Filtering Based on Interval Analysis for Heterogeneous Multienergy Networks With Coupling Output Constraints

This article addresses the distributed consensus filtering problem of heterogeneous multienergy networks, where subnetworks exhibit different dynamics and are coupled by output constraints. The global consensus is reached by propagating constraints between subnetworks in the form of interval vectors. Guaranteed intervals satisfying given constraints are returned, which are then used to correct the local states through the probability density function truncation. Given the dependence and wrapping effects during constraint propagation, a hybrid Newton forward–backward propagation (FBP) contractor is proposed for avoiding overly pessimistic estimates. It extends the FBP contractor by replacing the natural inclusion function with centered forms. In addition, an event-triggered mechanism is designed to enhance the efficiency of constraint propagation, which allows the threshold values to be adaptively adjusted according to interval widths. Finally, the proposal is assessed in a steel industrial gas–electricity network with 25 nodes, and the results verify the performance in estimation accuracy, especially for coupling nodes.

I. Introduction

The multienergy network (MEN) has been considered a promising solution to mitigate industrial CO emissions, particularly in the process industry [1]. Some industrial by-products, such as gas and hydrogen recycled from steelmaking and chlor-alkali processes, can be converted into electricity and steam via combined cycle power plants [2], [3]. It increases energy supply economics and reduces harmful emissions. The tight coupling between energy networks, however, also poses several challenges. The MEN is heterogeneous. Its system variables, such as temperature, pressure, and voltage, exhibit completely different dynamics [4]. This leads to a more complex coupling relationship in distributed filtering problems, where boundary states are subject to a set of output constraints governed by energy conversion equipment. Thus, an innovative consensus strategy is necessary to provide comprehensive and consensus data on MENs.