Model Predictive Control of Central Chiller Plant With Thermal Energy Storage Via Dynamic Programming and Mixed-Integer Linear Programming

Kun Deng, Yu Sun, Sisi Li, Yan Lu, Jack Brouwer, Prashant G. Mehta, Meng Chu Zhou, Amit Chakraborty

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

This work considers the optimal scheduling problem for a campus central plant equipped with a bank of multiple electrical chillers and a thermal energy storage (TES). Typically, the chillers are operated in ON/OFF modes to charge TES and supply chilled water to satisfy the campus cooling demands. A bilinear model is established to describe the system dynamics of the central plant. A model predictive control (MPC) problem is formulated to obtain optimal set-points to satisfy the campus cooling demands and minimize daily electricity cost. At each time step, the MPC problem is represented as a large-scale mixed-integer nonlinear programming problem. We propose a heuristic algorithm to obtain suboptimal solutions for it via dynamic programming (DP) and mixed integer linear programming (MILP). The system dynamics is linearized along the simulated trajectories of the system. The optimal TES operation profile is obtained by solving a DP problem at every horizon, and the optimal chiller operations are obtained by solving an MILP problem at every time step with a fixed TES operation profile. Simulation results show desired performance and computational tractability of the proposed algorithm.

Original languageEnglish (US)
Article number6899700
Pages (from-to)565-579
Number of pages15
JournalIEEE Transactions on Automation Science and Engineering
Volume12
Issue number2
DOIs
StatePublished - Apr 1 2015

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • Central chiller plant
  • dynamic programming
  • heuristic algorithm
  • mixed integer linear programming
  • model predictive control
  • supervisory control
  • thermal energy storage

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