Detalles del proyecto
Description
This research deals with emerging problems in optimal operation of electric power systems (vertically-integrated and deregulated) using advanced optimization, estimation, and computational intelligence techniques. The work includes enhancements to computational intelligence tools to solve operational problems competitive open transmission and possibly distribution access environment where many unexplored operational strategies exist. We research optimal mechanisms for pricing active and reactive power and ancillary services assigned to quality of power supply while respecting environmental and security constraints. We formulate and solve short-range optimal operational problems for systems with multiple ownerships of transmission, generation and distribution assets to allow power market participants to make well-founded decisions.We propose to enhance load and market clearing price (MCP) forecasting and optimal model parameter estimation capabilities for transmission and distribution systems to improve computational efficiencies along with improved accuracy. We deal with short and long term load and MCP forecasts. We also treat unresolved issues in cost and performance model estimation.We deal with distribution system aiming reduce losses in primary feeder systems by optimal deployment of fixed capacitors and FACTs-based reactive devices. A non-explored area deals with the beneficial effects and impact of distributed and embedded generation assets on the conventional distribution system. This research will improve economic savings for power system participants, and enhance social welfare functions involving environmental impacts and continuity of service and quality of power. Canadian electric power industry is enjoying a resurgence of requirements for highly skilled personnel and this research will help in this direction.
Estado | Activo |
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Fecha de inicio/Fecha fin | 1/1/09 → … |
Financiación
- Natural Sciences and Engineering Research Council of Canada: US$ 25.412,00
ASJC Scopus Subject Areas
- Environmental Science(all)
- Energy Engineering and Power Technology