Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.661060
Title: Expert system management of cascaded hydro-electric schemes
Author: Renton, Malcolm William
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1996
Availability of Full Text:
Access through EThOS:
Full text unavailable from EThOS. Please try the link below.
Access through Institution:
Abstract:
The conventional merit-order based dispatch of generating plant in mixed fuel systems is now frequently superseded by: the scheduling, at base-load, of plant in response to commercial agreements for the compulsory purchase of fuels such as gas; operation of coal-fired plant in the intermediate-load range; and the displacement of hydro plant to supply peak loads. Hydro plant may be dispatched to meet predicted peak demand, to trade electricity at commercially opportune times, to adjust water levels in the system, for environmental reasons or flood mitigation. In countries where electricity supply utilises have a significant resource of large-hydro many of these plants operate in cascade systems. The hydrological interdependence of plants in cascade hydro electric systems means that operation of any one plant will have an effect on water levels and storage at other plants in the system. Water levels in the system are also affected by the weather. Hydrologically and commercially efficient operation of cascade systems requires that the water and energy are managed simultaneously. This requires considerable experience and expertise. The hydrological and electrical details of cascade systems are extensive but are consulted frequently by the hydro control engineers. Any requirement to schedule hydro plant has hydrological and commercial consequences which require expert judgement of the outcome as part of the decision process. These circumstances should be conducive to the application of computer-based modelling and artificially intelligent decision support. This thesis describes the principles of cascade water management in the circumstances above and the development and validation of an expert system to predict rapidly the hydrological impact of possible despatch schedules.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.661060  DOI: Not available
Share: