Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm

TL;DR

This paper presents a novel move-blocking MPC approach with accelerated optimization for water distribution systems, balancing computational efficiency and operational effectiveness, demonstrated on aggregated systems with multi-objective optimization.

Contribution

It introduces a least-restrictive move-blocking method integrated into an economic MPC framework for large-scale water systems, improving computational speed while maintaining control quality.

Findings

The proposed method reduces computation time compared to non-blocking MPC.

It effectively balances water security, control smoothness, and cost objectives.

Demonstrated successful application on aggregated water distribution systems.

Abstract

Model predictive control (MPC) has emerged as an effective strategy for water distribution systems (WDSs) management. However, it is hampered by the computational burden for large-scale WDSs due to the combinatorial growth of possible control actions that must be evaluated at each time step. Therefore, a fast computation algorithm to implement MPC in WDSs can be obtained using a move-blocking approach that simplifies control decisions while ensuring solution feasibility. This paper introduces a least-restrictive move-blocking that interpolates the blocked control rate of change, aiming at balancing computational efficiency with operational effectiveness. The proposed control strategy is demonstrated on aggregated WDSs, encompassing multiple hydraulic elements. This implementation is incorporated into a multi-objective optimization framework that concurrently optimizes water level security of the storage tanks, smoothness of the control actions, and cost-effective objectives. A fair comparison between the proposed approach with the non-blocking Economic MPC is provided.