A computational intelligence based approach for optimized operation scheduling of energy plants-Reference-Cited by-同舟云学术

A computational intelligence based approach for optimized operation scheduling of energy plants

Published:2020-01-22 Issue:2 Volume:68 Page:118-129
ISSN:2196-677X
Container-title:at - Automatisierungstechnik
language:en
Short-container-title:

Author:

Mast Johannes¹,Rädle Stefan¹,Gerlach Joachim¹,Bringmann Oliver²

Affiliation:

1. Albstadt-Sigmaringen University , Albstadt , Germany

2. Wilhelm-Schickard-Institute for Computer Science , University of Tübingen , Tübingen , Germany

Abstract

Abstract This paper describes a methodology for optimizing the operation schedule of energy plants, which is exemplarily applied for a combined heat and power plant and a heat pump. The methodology is based on the computational intelligence algorithms Ant Colony Optimization and Simulated Annealing and allows a customized description of the optimization objective. This is demonstrated by several optimization objectives that have been considered, such as the price on the electricity market. The methodology replaces a conventional, guided operating mode of the system with an intelligent, prognostic-based operation planning. In this way, the systems can be operated more economically and/or more sustainably.

Funder

Bundesministerium für Bildung und Forschung

Publisher

Walter de Gruyter GmbH

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Link

https://www.degruyter.com/document/doi/10.1515/auto-2019-0100/pdf

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