Numerical Backward Simulation Model with Case Branching Capability

Yukio Hiranaka, Houjin Sakaki, Kenta Ito, Toshihiro Taketa, Shinichi Miura

2014

Abstract

The authors are studying backward simulators which trace from results to causes for comprehensive verification of system safety. It is not easy to make a backward simulation model because the forward model may not be expressed in a reversible formula, or it is not reversible in cases of multiple inputs or inclusion of internal state variables. In this paper, we propose a backward simulator which can incorporate numerical simulation models and has a case branching capability to deal with multiple inputs. As a practical simulation target, we implemented a simulator for testing stability of dynamic pricing for power usage control as a smart grid application. We show some illustrating results of the backward simulation.

References

  1. Chen, L., Steven, N.L., Low, H. and Doyle, J., 2010. Two Market Models for Demand Response in Power Networks, Proc. IEEE Int'l Conf Smart Grid Comm.
  2. Fan, Z. 2011. Distributed Demand Response and User Adaptation in Smart Grid, Proc. Integrated Network Management, pp.726-729.
  3. Freeman, R., 2005. Managing Energy: Reducing Peak Load and Managing Risk with Demand Response and Demand Side Management, Refocus, vol.6, no.5, pp.53-55.
  4. Hiranaka, Y. and Taketa, T., 2012. Designing Backward Range Simulator For System Diagnoses, Proc. XX Imeko World Congress Metrology for Green Growth.
  5. Hiranaka, Y., Taketa, T. and Miura, S., 2013. Case Branching Backward Simulator for Integer Factorization, Proc. 8th EUROSIM Congress on Modeling and Simulation, pp.259-264.
  6. Huang, C.C. and Wang, H.H., 2009. Backward Simulation with Multiple Objectives Control, Proc. IMECS (International MultiConference of Engineers and Computer Scientist).
  7. Koulsopoulos I. and Tassiulas, 2011. L., Challenges in Demand Load Control for the Smart Grid, IEEE Network, vol.25,no.5, pp.16-21.
  8. Mohsenian-Rad, A.H., Wong V.W.S., Jatskevich, J., Schober, R. and Leon-Garcia A., 2010. Autonomus Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid, IEEE trans. Smart Grid, vol.1, no.3, pp.320-331.
  9. Schweppe F.C., Tabors R.D. and Kirtley J.L., 1981. Homeostatic Control: The Utility/Customer Marketplace for Electric Power, MIT Energy Laboratory Report, MIT-EL 81-033.
Download


Paper Citation


in Harvard Style

Hiranaka Y., Sakaki H., Ito K., Taketa T. and Miura S. (2014). Numerical Backward Simulation Model with Case Branching Capability . In Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-038-3, pages 225-230. DOI: 10.5220/0005096302250230


in Bibtex Style

@conference{simultech14,
author={Yukio Hiranaka and Houjin Sakaki and Kenta Ito and Toshihiro Taketa and Shinichi Miura},
title={Numerical Backward Simulation Model with Case Branching Capability},
booktitle={Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2014},
pages={225-230},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005096302250230},
isbn={978-989-758-038-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Numerical Backward Simulation Model with Case Branching Capability
SN - 978-989-758-038-3
AU - Hiranaka Y.
AU - Sakaki H.
AU - Ito K.
AU - Taketa T.
AU - Miura S.
PY - 2014
SP - 225
EP - 230
DO - 10.5220/0005096302250230