Business cases for electric heat pumps under different day-ahead price scenarios

作者: Jonathan A. Schachter , Nicholas Good , Pierluigi Mancarella

DOI: 10.1109/EEM.2015.7216675

关键词:

摘要: This paper aims to present a probabilistic assessment, via two-stage stochastic optimization, of the potential benefits from cost optimizing interaction thermal and electrical systems an aggregation buildings, through use domestic electric heat pumps. As more intermittent generation is integrated into grid, while capacity margins are shrinking, not only might prices drop on average but they could also become much volatile than at present. Potential future day-ahead price scenarios therefore analyzed in this paper, by using specific evolution models developed take account different levels volatility. Results suggest that lower values combined with very high volatility can lead noticeable economic managing EHP exploit arbitrage opportunities.

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