Summary

Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications

2013

Session Number:A2L-D

Session:

Number:73

Optimal Pricing Algorithm Based on Steepest Descent Method for Electricity Market with Battery and Accumulator

Yuki Miyano,  Toru Namerikawa,  

pp.73-76

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.2.73

PDF download (287.3KB)

Summary:
This paper considers a day-ahead market with batteries and accumulators to level power generation. First, we model a consumer with battery, a generator with battery, and an accumulator that each act to maximize their own profit. Then, we not only propose the optimal pricing algorithm based on dual decomposition and the steepest descent method but also prove the stability of this algorithm. Finally, we demonstrate the effectiveness of the algorithm through some numerical simulation.

References:

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[2] A. Faruqui and S. Sergici, “Household Response to Dynamic Pricing of Electricity — A Survey of the Empirical Evidence,” J. of Regulatory Economics, Vol 38, No. 2, pp. 193-225, 2010.

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[4] T. Namerikawa and T. Kato, “Distributed Load Frequency Control of Electrical Power Networks via Iterative Gradient Method,” Proc. 50th IEEE Conf. on Decision and Control and European Control Conf., pp. 7723-7726, 2011.

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[7] Y. Miyano and T. Namerikawa, “Load Leveling Control by Real-Time Dynamical Pricing Based on Steepest Descent Method,” SICE Annual Conf. 2012, pp. 131-136, 2012.

[8] TEPCO website (http://www.tepco.co.jp/forecast/indexj.html)