A new algorithm for combined heat and power dynamic economic dispatch considering valve-point effects

In this study, combined heat and power units are incorporated in the practical reserve constrained dynamic economic dispatch, which minimizes total production costs considering realistic constraints such as ramp rate limits and valve-point effects over a short time span. The integration of combined...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Energy (Oxford) Jg. 52; S. 320 - 332
Hauptverfasser: Bahmani-Firouzi, Bahman, Farjah, Ebrahim, Seifi, Alireza
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Kidlington Elsevier Ltd 01.04.2013
Elsevier
Schlagworte:
algorithms
Applied sciences
Cogeneration technology
Combined heat and power dynamic economic dispatch
electricity
Energy
Exact sciences and technology
heat
population growth
production costs
Ramp rate limit
Self-adaptive learning charged system search algorithm
spinning
Spinning reserve constraint
Valve-point effects
Cogeneration technology
Spinning reserve constraint
Ramp rate limit
Valve-point effects
Combined heat and power dynamic economic dispatch
Self-adaptive learning charged system search algorithm
Valve
Algorithm
ISSN:0360-5442
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In this study, combined heat and power units are incorporated in the practical reserve constrained dynamic economic dispatch, which minimizes total production costs considering realistic constraints such as ramp rate limits and valve-point effects over a short time span. The integration of combined heat and power units and considering power ramp constraints for these units necessitate an efficient tool to cope with joint characteristics of electricity power-heat. Unlike pervious approaches, the system spinning reserve requirements are clearly formulated in the problem and a novel charged system search algorithm is proposed to solve it. In the proposed algorithm a novel self-adaptive learning framework, adaptive selection operation and repelling force modeling are used in order to increase the population diversity and amend the convergence criteria. The proposed framework is applied for three small, medium and large test systems in order to evaluate its efficiency and feasibility. ► Present a new method for reserve constrained dynamic ED. ► Consider prohibited operating zones effect. ► Consider system spinning reserve requirements. ► Consider combined heat and power units. ► Consider the ramp rate of generation units.
Bibliographie:http://dx.doi.org/10.1016/j.energy.2013.01.004
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0360-5442
DOI:10.1016/j.energy.2013.01.004