A Novel Formulation of Economic Model Predictive Control for Periodic Operations

Wang, Ye; Peña, David Muñoz de la; Puig, Vicenç; Cembraño, Gabriela

doi:10.23919/ecc.2018.8550297

Cited by 4 publications

(3 citation statements)

References 27 publications

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“…This is proved in a recent result from Wang et al 23 Moreover, the obtained solution coincides with the optimal one provided by the planner of the two-layer scheme. 23…”

Section: Standard Empcsupporting

confidence: 77%

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Optimal energy dispatch in a smart micro-grid system using economic model predictive control

Nassourou

Blesa

Puig

2018

Proceedings of the Institution of Mechanical Engineers, Part I:

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The problem of energy dispatch in heterogeneous complex systems such as smart grids cannot be efficiently addressed using classical control or ad hoc methods. This article discusses the application of economic model predictive control to the management of a smart micro-grid system connected to an electrical power grid. The considered system is composed of several subsystems, namely, some photovoltaic panels, a wind generator, a hydroelectric generator, a diesel generator, and some storage devices (batteries). The batteries are charged with the energy from the photovoltaic panels, wind and hydroelectric generators, and they are discharged whenever the generators produce less energy than needed. The subsystems are interconnected via a DC Bus, from which load demands are satisfied. Modeling smart grids components is based on the generalized flow-based networked systems paradigm, and assuming energy generators to be stable, load demands and energy prices are known. This study shows that economic model predictive control is economically superior to a two-layer hierarchical model predictive control.

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“…This is proved in a recent result from Wang et al 23 Moreover, the obtained solution coincides with the optimal one provided by the planner of the two-layer scheme. 23…”

Section: Standard Empcsupporting

confidence: 77%

“…This periodic constraint guarantees the stability and the feasibility of the solution. This is proved in a recent result from the authors (Wang, 2018). Moreover, the obtained solution coincides with the optimal one provided by the planner of the two layer scheme (Wang, 2018).…”

supporting

confidence: 79%

Optimal energy dispatch in a smart micro-grid system using economic model predictive control

Nassourou

Blesa

Puig

2018

Proceedings of the Institution of Mechanical Engineers, Part I:

View full text Add to dashboard Cite

show abstract

“…For the operational management of WDNs, different optimal control strategies have been investigated (see, e.g., [16][17][18][19][20][21]). For achieving multiple objectives, MPC strategies, and in particular economic MPC, have already been applied to WDNs (see, e.g., [5,6,[22][23][24][25][26][27]). The main challenge of applying MPC strategy to the WDN is to solve a nonlinear optimization problem taking into account the full system dynamics and a large amount of decision variables within a sampling time.…”

Section: Introductionmentioning

confidence: 99%

Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks

et al. 2018

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This paper presents the application of an economic model predictive control (MPC) for the operational management of water distribution networks (WDNs) with periodic operation and nonlinear constraint relaxation. In addition to minimizing operational costs, the proposed approach aims to reduce the computational load and to improve the implementation efficiency associated with the nonlinear nature of the MPC problem. The behavior of the WDN is characterized by a set of difference-algebraic equations, where the relation of hydraulic pressure/head and flow in interconnected pipes is nonlinear. Specifically, the considered WDN model includes two categories of nonlinear algebraic equations for unidirectional and bidirectional flows in pipes, respectively. In this paper, we propose an iterative algorithm to relax these nonlinear algebraic equations into a set of linear inequality constraints that will be implemented in the economic MPC design, which improves the implementation efficiency and meanwhile optimizes the economic performance. Finally, the proposed strategy is applied to a well-known benchmark of the Richmond WDN. The closed-loop simulation results are shown and the proposed strategy is also compared with a nonlinear economic MPC using several key performance indexes.

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Economic Model Predictive Control Strategies Based on a Periodicity Constraint

Wang

2020

Advances in State Estimation, Diagnosis and Control of Complex Systems

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A Novel Formulation of Economic Model Predictive Control for Periodic Operations

Cited by 4 publications

References 27 publications

Optimal energy dispatch in a smart micro-grid system using economic model predictive control

Optimal energy dispatch in a smart micro-grid system using economic model predictive control

Economic Model Predictive Control with Nonlinear Constraint Relaxation for the Operational Management of Water Distribution Networks

Economic Model Predictive Control Strategies Based on a Periodicity Constraint

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