Dispatch optimisation of renewable energy generation participating in a liberalised electricity market

N.M. Bhandari, G.M. Burt, K. Dahal, S.J. Galloway, J.R. McDonald

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper focuses on dispatching of mixed generation portfolio of renewable energy (RE) and non-RE (firm) units. A genetic algorithm (GA) based rolling window approach is developed for solving economic dispatch (ED) problem. Profit maximisation ED problem is formulated and solved which also considers New Electricity Trading Arrangements for England and Wales (NETA) market features. In this problem, a penalty approach is used in order to consider intermittency problem of RE generation output. A single GA technique is also applied for solving the formulated problem. Of these, GA based rolling window approach achieved promising results for a Generator Company, which holds both renewable and fossil fuel units and participates in the short-term market trading. It is also shown that a Generator Company can get more profit by using the possibility of increase in generation output of RE sources from their forecast positions by combining both RE and non-RE units and participating in a NETA-like market trading. This approach allows to some extent the management of uncertainty problem of RE generation output, which also accounts risk associated with power non-delivery.
Original languageEnglish
Number of pages22
JournalInternational Journal of Emerging Electric Power Systems
Volume8
Issue number3
DOIs
Publication statusPublished - 28 Aug 2007

Keywords

  • renewable energy
  • energy generation
  • market trading

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