Predictive optimal management method for the control of polygeneration systems

Abstract

A predictive optimal control system for micro-cogeneration in domestic applications has been developed. This system aims at integrating stochastic inhabitant behavior and meteorological conditions as well as modeling imprecisions, while defining operation strategies that maximize the efficiency of the system taking into account the performances, the storage capacities and the electricity market opportunities. Numerical data of an average single family house has been taken as case study. The predictive optimal controller uses mixed integer and linear programming where energy conversion and energy services models are defined as a set of linear constraints. Integer variables model start-up and shut down operations as well as the load dependent efficiency of the cogeneration unit. This control system has been validated using more complex building and technology models to asses model inaccuracies and typical demand profiles for stochastic factors. The system is evaluated in the perspective of its usage in Virtual Power Plants applications.

Model-based multi-parametric programming strategies towards the integration of design, control and operational optimization

“…The relatively new technology of the PEMFC lacks of liability due to limited operational testing for a significant amount of time but o ers great advantages such as low acoustic noise and no vibration [361]. [238,281] Design and development of domestic trigeneration systems Savola et al (2005Savola et al ( , 2007 [315,316] Small scale CHP model development and MINLP formulation maximizing production objectives Wu et al (2006) [361] Review on Combined cooling, heat and power cogeneration systems Onovwiona et al (2006) [263] Technology review on heat and power cogeneration systems Videla et al (2006) [348] Modeling and dynamic simulation of small scale internal combustion based CHP systems Cockroft et al (2006) [78] Assessment of power sources for cogeneration Dorer et al (2009) [92] Energy, environmental and performance studies on PEMFC, SOFC, Stirling engine and internal combustion engine based residential cogeneration Collazos et al (2009) [79] Optimal control with mixed integer formulation and stochastic elements for micro generation in domestic applications Konstantinidis et al…”

Model-based optimization of distributed and renewable energy systems in buildings

“…The building energy management system is based on model predictive control (MPC) which has been identified as an appropriate methodology for this problem formulation [13,14]. The building regulator hence computes the optimal input variable values for each time step, k of the defined control horizon, n k .…”

“…The CHP unit considered in this study consists of a NG-powered Stirling cycle, commercially available for residential application [14]. The control-oriented model implements a minimum part-load threshold in order to avoid significant efficiency variations occurring at lower power outputs.…”

Intra-day electro-thermal model predictive control for polygeneration systems in microgrids

“…MPC (Model Predictive Control) is one of the most adopted methodologies in this context as has been shown prior to this by Collazos et al, 20 Kriett et al and Prodan et al [3], [4] and [5]. For an MPC strategy, optimal sizing of the components in the system is vital.…”

“…This paper contains an evolution of the work presented in [3]. The original and new contributions of this paper are:…”