Operational Optimisation of Gas Turbines Distributed Generation Systems in Competitive Electricity Market

摘要

The development of power generation technologies and the deregulation of thepower market has led to an increasing interest in distributed power generation, mainlythe simultaneous exploitation of electricity and heat from the same energy source,known as combined heat and power (CHP) systems.As a consequence of the high competitiveness of power markets and increasingenvironmental concerns, distributed power generators have to make reasonable choicesat multiple levels of complexity. A key issue to successfully approaching theseproblems is the development of decision making support tools that rely on service lifeprediction, intelligent economic dispatch optimisation techniques and conditionmonitoring.This research introduces the concept and development of a decision makingsupport tool for a mini-pool nerve centre based on distributed gas turbine generationunits operating in a competitive market. The nerve centre framework leads naturally to amulti-criteria optimisation problem which is solved in this research with a hybridgenetic algorithm adapted priority list and creep life assessment. The proposed hybridapproach can result in a significant saving to generators as it efficiently optimises mini-pool profits and service hours between failures in an acceptable computation time andaccurately. Life cycle assessment combined with generation schedule optimisation canenhance the maintenance strategy activities and the competitiveness of gas turbinedistributed generation plants, particularly for generators trading energy in a highlycompetitive market.Gas turbine combined heat and power distributed generators are unlikely tosucceed in competing individually with centralised generation technologies within thepresent market framework, but they can be more competitive in an informationtechnology based mini-pool. Additionally, results show that the development of a lowcarbon emission power industry can result in an outstanding opportunity for combinedheat and power mainly in power markets currently highly dependent on coal and oilpowered stations.