A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models

Gabriella Dellino, Carlo Meloni, Saverio Mascolo

Abstract

The Optimal Power Flow problem (OPF) plays a crucial role in the successful energy management of modern smart grids. The diffusion of renewable energy sources poses new challenges to the power grid in which integrated energy storage combined with green generation solutions can help to address challenges associated with both power supply and demand variability. This work refers to a smart grid context and proposes a time indexed OPF model considering storage dynamics, adopting a preference-based optimization method with chance constraints to provide a suitable service level.

References

  1. Box, G.E.P., Jenkins, G.M., Reinsel G.C., 2008, Time Series Analysis: Forecasting and Control, 4th ed. John Wiley & Sons.
  2. Carpentier J., 1962, Contribution to the economic dispatch problem, Bull. Soc. Franc. Electr.,vol. 3, no. 8, pp. 431-447.
  3. Chandy, K.M., Low, S.H., Topcu U., Xu H., 2010, A simple optimal power flow model with energy storage, in Proc. of 49th IEEE Conference on Decision and Control (CDC 2010), Atlanta, GA, pp. 1051-1057.
  4. Charnes, A., Cooper, W.W., 1959 Chance constrained programming, Management Science, 6, 73-80.
  5. Conejo A.J., Carrión M., Morales J.M., 2010, Decision making under uncertainty in electricity markets, Springer International Series in Operations Research and Management Science.
  6. Dommel H., Tinney W., 1968, Optimal power flow solutions, IEEE Transactions on Power Apparatus and Systems, vol. 87, no. 10, pp. 1866-1876.
  7. Huang, L., Walrand, J., Ramchandran, K., 2012, Optimal Demand Response with Energy Storage Management, in Proc. of IEEE Third International Conference on Smart Grid Communications (SmartGridComm 2012), Tainan, 61-66.
  8. Kallrath J., Pardalos P.M., Rebennack S., Scheidt, M., 2009, Optimization in the energy industry,,Springer.
  9. Khalid, M., Savkin, A.V., 2010, Model predictive control based efficient operation of battery energy storage system for primary frequency control, in Proc. of 11th International Conference on Control Automation Robotics Vision (ICARCV), 2248-2252.
  10. Koutsopoulos, I., Hatzi, V., Tassiulas, L., 2011, Optimal Energy Storage Control Policies for the Smart Power Grid, in Proc. of 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm 2011), Brussels, pp. 475- 480.
  11. Messac A., 1996, Physical Programming: Effective Optimization for Computational Design, AIAA Journal, 34(1). 149-158.
  12. Narayanaswamy, B.; Garg, V.K.; Jayram, T.S., 2012, Prediction Based Storage Management in the Smart Grid, in Proc. of 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm 2012), Tainan, 498-503.
  13. Pflug G.C., Römisch W., 2007, Modeling and managing risk, World Scientific.
  14. Sierhuis, M., Selvin, A.M., 1996, Towards a Framework for Collaborative Modeling and Simulation. Proc. of the Workshop on Strategies for Collaborative Modeling and Simulation, CSCW'96 Conference, Boston, USA.
  15. Vanderbei, R.J., 2001, Linear Programming: Foundations and Extensions, 2nd ed.. Kluwer Academic Publishers, Dordrecht, Netherlands.
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Paper Citation


in Harvard Style

Dellino G., Meloni C. and Mascolo S. (2015). A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models . In Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-075-8, pages 224-231. DOI: 10.5220/0005293602240231


in Bibtex Style

@conference{icores15,
author={Gabriella Dellino and Carlo Meloni and Saverio Mascolo},
title={A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models},
booktitle={Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2015},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005293602240231},
isbn={978-989-758-075-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - A Linear Physical Programming Approach to Power Flow and Energy Storage Optimization in Smart Grids Models
SN - 978-989-758-075-8
AU - Dellino G.
AU - Meloni C.
AU - Mascolo S.
PY - 2015
SP - 224
EP - 231
DO - 10.5220/0005293602240231