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Simulation on the Interruptible Load Contract

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

Interruptible load management (ILM) is an important part of Demand Side Management (DSM), especially in power market. It has deep influences on reliability and economical operation of power system. How to use a rational model to simulate the ILM becomes a hot topic in China. This paper gives the optimal purchase model of interruptible contract and sets a reasonable selected rule, i.e. the interruptible load should be priorly scheduled in the period with maximal shortage capacity. Based on the rule, the heuristic method is employed to solve the problem. Simulation results of real power system demonstrate the usefulness of the proposed model.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, 710049, P.R. China

    Jianxue Wang & Xifan Wang

  2. School of Electronics and Electric Engineering, Shanghai Jiaotong University, Shanghai, 200030, P.R. China

    Tao Du

Authors
  1. Jianxue Wang
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  2. Xifan Wang
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  3. Tao Du
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Wang, J., Wang, X., Du, T. (2004). Simulation on the Interruptible Load Contract. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_128

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_128

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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