Abstract
As one of the important measures of power demand response, the interruptible load management has been widely used. The key to interruptible load management is the interruption compensation price and interruption capacity, which is related to the profits of power companies and users. To maximize the profits of both users and power companies, this article comprehensively considers the profits of power companies and users, and in view of the problem of interruption compensation price setting in interruptible load, it establishes a bargain model for power companies and users. In order to solve the limitations of single-user negotiation, the Chamberlain model considering product diversity was introduced to establish the multi-rounds bidding model of multi-users participation. At the same time, the neural network optimized by the genetic algorithm and particle swarm optimization was used to solve the problem of the initial price. According to the experiment, the model is effective and has superiority in mobilizing users’ enthusiasm to participate in interruptible load management.
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Xie, Z., Li, X., Xu, T., Li, M., Deng, W., Gu, B. (2018). Interruptible Load Management Strategy Based on Chamberlain Model. In: Zhou, Q., Gan, Y., Jing, W., Song, X., Wang, Y., Lu, Z. (eds) Data Science. ICPCSEE 2018. Communications in Computer and Information Science, vol 901. Springer, Singapore. https://doi.org/10.1007/978-981-13-2203-7_41
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DOI: https://doi.org/10.1007/978-981-13-2203-7_41
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