Aggregation platform for wind-pv-thermal technologies in electricity market
This paper addresses a stochastic Wind-PVThermal commitment to improve the bidding process of an aggregator in an electricity day-ahead market. The data for the wind and solar powers and for the market prices are given by a set of scenarios. Thermal units modeling includes start-up costs, variables...
| Autor principal: | |
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| Outros Autores: | , , , |
| Formato: | lecture |
| Idioma: | eng |
| Publicado em: |
2019
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10174/23933 |
| País: | Portugal |
| Oai: | oai:dspace.uevora.pt:10174/23933 |
| Resumo: | This paper addresses a stochastic Wind-PVThermal commitment to improve the bidding process of an aggregator in an electricity day-ahead market. The data for the wind and solar powers and for the market prices are given by a set of scenarios. Thermal units modeling includes start-up costs, variables costs and bounds due to constraints of technical operation, such as: ramp up/down limits and minimum up/down time limits. The modeling is carried out in order to develop a management aggregation procedure based in a stochastic programming approach formulated as a mixed integer linear mathematical programming problem. A case study is addressed with market price from the Iberian Peninsula and comparison between disaggregated and aggregated bids is discussed to address the main conclusions. |
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