Economic Model Predictive Control - A Review

Abstract

-Leveraging the advanced estimation and control algorithms for power systems have always been associated with the renewable energy sources, rational power generation, consumer stimulus, emission reduction, as well as economically viable objectives. The model predictive control (MPC) strategies, that employ an economic-related cost function for real-time control, has lately proved a numerically efficient approach to managing the portfolio of energy usage in various residential and industrial projects. They are designated as economic MPCs, whose main endeavour is to cope with regularly changing energy prices. Unlike the traditional MPCs, economic MPCs optimize the process operations in a time-varying fashion, rather than maintain the process variables around a few desired steady states. The process may thus totally operate in the transient state with economic MPCs. This paper provides a rigorous review on the developed and progressive economic MPCs, as a contribution to the field while it is still in its infancy. In the second part of the paper, we briefly show the potential of applying the quadratic dissipativity constraint, previously introduced, to the closedloop stability problem of an economic MPC problem.

Economic MPC with a contractive constraint for nonlinear systems

“…subject to the constraints (1) and (2), which guarantees closed-loop asymptotic stability of the optimal operating point (x s ,u s ). Moreover, we will investigate the transient performance of the closed-loop system…”

“…Economic model predictive control (EMPC) has received much attention because of its ability in integrating real-time process economic optimization and feedback control into an optimal control framework [1,2]. Unlike traditional MPC, where target-tracking controllers are computed by minimizing positive definite cost functions [3], EMPC directly utilizes general economic functions as stage costs to design controllers.…”

Quantitative tools for cultivating symbiosis in industrial parks; a literature review

“…The introduction of renewable energy sources is a widely discussed topic with far-reaching applications and associated issues. As addressing this topic far exceeds an IP framework and is beyond the scope of this work, we refer interested readers to review papers on biofuels [140][141][142], solar energy [143], wind energy [144], energy storage [145], energy efficiency optimization [146], smart grids [147] and distributed power generation [148,149]. In an IP park specific context, Starfelt and Yan [42] presented a simulation based feasibility study of retrofitting the cogeneration system by incorporating gas turbine technology with a heat recovery steam generator (HRSG) to replace the current diesel engine with HRSG and absorption chillers.…”

Recent progress and challenges in process optimization: Review of recent work at ECUST

“…However, the formed problem is usually intractable using the currently available algorithms. For example in the integration of RTO and MPC, two layers may be theoretically merged into one layer, which is the economic model predictive control (EMPC), though some suspicions have been raised . An alternative approach is to add an extra layer for explanation or recalculation of decisions from the upper layer, respecting the traditional decomposition structure .…”