Power Load Management as a Computational Market
By Fredrik Ygge
and Hans Akkermans. In Proceeding of International Conference on Multi-Agent
Systems (ICMAS) '96, pp 393 - 400. AAAI Press, Menlo Park, CA.
The paper is a rather technical paper written for people with background
in computer science and computational markets.
Power load management enables energy utilities to reduce peak loads and
thereby save money. Due to the large number of different loads, power load
management is a complicated optimization problem. We present a new decentralized
approach to this problem by modelling direct load management as a computational
market. Our simulation results demonstrate that our approach is very efficient
with a superlinear rate of convergence to equilibrium and an excellent scalability,
requiring few iterations even when the number of agents is in the order
of one thousand. A framework for analysis of this and similar problems is
given which shows how non-linear optimization and numerical mathematics
can be exploited to characterize, compare, and tailor problem-solving strategies
in market-oriented programming.
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Last edited September 20th 1996 by email@example.com.