Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866917981238329344 |
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| author | Martín-Crespo, Alejandro Baeyens, Enrique Saludes-Rodil, Sergio Frechoso-Escudero, Fernando |
| author_facet | Martín-Crespo, Alejandro Baeyens, Enrique Saludes-Rodil, Sergio Frechoso-Escudero, Fernando |
| contents | The aggregate demand flexibility of a set of thermostatically controlled residential loads (TCLs) can be represented by a virtual battery (VB) in order to manage their participation in the electricity markets. For this purpose, it is necessary to know in advance and with a high level of reliability the maximum power that can be supplied by the aggregation of TCLs. A probability function of the power that can be supplied by a VB is introduced. This probability function is used to predict the demand flexibility using a new experimental probabilistic method based on a combination of Monte Carlo simulation and extremum search by bisection algorithm (MC&ESB). As a result, the maximum flexibility power that a VB can provide with a certain guaranteed probability is obtained. The performance and validity of the proposed method are demonstrated in three different case studies where a VB bids its aggregate power in the Spanish electricity balancing markets (SEBM). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2308_04853 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets Martín-Crespo, Alejandro Baeyens, Enrique Saludes-Rodil, Sergio Frechoso-Escudero, Fernando Systems and Control The aggregate demand flexibility of a set of thermostatically controlled residential loads (TCLs) can be represented by a virtual battery (VB) in order to manage their participation in the electricity markets. For this purpose, it is necessary to know in advance and with a high level of reliability the maximum power that can be supplied by the aggregation of TCLs. A probability function of the power that can be supplied by a VB is introduced. This probability function is used to predict the demand flexibility using a new experimental probabilistic method based on a combination of Monte Carlo simulation and extremum search by bisection algorithm (MC&ESB). As a result, the maximum flexibility power that a VB can provide with a certain guaranteed probability is obtained. The performance and validity of the proposed method are demonstrated in three different case studies where a VB bids its aggregate power in the Spanish electricity balancing markets (SEBM). |
| title | Aggregated demand flexibility prediction of residential thermostatically controlled loads and participation in electricity balance markets |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2308.04853 |