### A mixed integer linear programming based approach for unit commitment in smart grid environment

#### Abstract

#### Keywords

#### Full Text:

PDF#### References

Afkousi-Paqaleh, M., Rashidi-Nejad, M. & Pourakbari, M. 2010. An implementation of harmony

search algorithm to unit commitment problem. Electrical Engineering (Springer) 92(6): 215-225.

Aalami, H., Yousefi, G. R. & Parsa Moghaddam, M. 2008. A MADM-based Support System for DR

Programs. 43rd Int. Univ. Power Eng. Conf. (UPEC). Italy.

Aalami, H., Yousefi, G. R. & Parsa Moghaddam, M. 2008. Demand Response Model Considering

EDRP and TOU Programs. IEEE PES T & D Conf. Chicago. USA: 1-6.

Aalami, H., Parsa Moghaddam, M. & Yousefi, G. R. 2010. Demand Response Modeling Considering

Interruptible/Curtailable Loads and Capacity Market Programs. Applied Energy 87(1): 243-250.

Aalami, H., Parsa Moghaddam, M. & Yousefi, G. R. 2010. Modeling and Prioritizing Demand Response

Programs in Power Markets. Electr. Power Syst. Res. (EPSR). 80(4): 426-435.

Annakkage, U. D., Nummonda, T. & Pahalawatha, N. C. 1995. Unit commitment by parallel simulated

annealing. IEEE Proc. Gen. Tansm. Dist. 142(6): 595-600.

Al-Alawi, B. M. & Bradley, T. H. 2013. Total cost of ownership, payback, and consumer preference

modeling of plug-in hybrid electric vehicles, Applied Energy, 103: 488–506.

Al-Alawi, B. M. & Bradley, T. H. 2013. Review of Hybrid and Electric Vehicle Market Modeling Studies,

Renewable and Sustainable Energy Reviews, 21: 190-203.

Al-Alawi, B. M. & Bradley, T. H. 2014. Analysis of Corporate Average Fuel Economy Regulation

Compliance Scenarios Inclusive of Plug in Hybrid Vehicles, Applied Energy, 113: 1323-1337.

Battaglini, A., Lilliestam, J., Haas, A. & Patt, A. 2009. Development of SuperSmart Grids for a more

efficient utilisation of electricity from renewable sources. Journal of Cleaner Production 17: 911–

Bompard, E., Ma, Y., Napoli, R. & Abrate, G. 2007. The Demand Elasticity Impacts on the Strategic

Bidding Behavior of the Electricity Producers. IEEE Trans. on Power Syst. 22(1): 188-197.

Bradley, T. H. & Frank, A. A. 2009. Design, demonstrations and sustainability impact assessments for

plug-in hybrid electric vehicles. Renewable and Sustainable Energy Reviews. 13: 115–128.

Carrión, M. & Arroyo, J. M. 2006. A Computationally Efficient Mixed-Integer Linear Formulation for

the Thermal Unit Commitment Problem. IEEE Trans. on Power Syst. 21(6): 1371-1378.

Chaoyue, Z., Jianhui, W., Watson, J.-P. & Yongpei, G. 2013. Multi-Stage Robust Unit Commitment

Considering Wind and Demand Response Uncertainties. IEEE Transactions on Power Systems.

(3): 2708-2717.

Cheng, C.-P., Liu, C.-W. & Liu, C.-C. 2002. Unit commitment by annealing-genetic algorithm.

International Journal of Electrical Power & Energy Systems 24(2): 149-158.

FERC. Staff Report. 2006. Assessment of Demand Response and Advanced Metering. www.FERC.gov.

FERC. Staff Report. 2008. Assessment of Demand Response and Advanced Metering.www.FERC.gov.

Galus, M. D., Zima, M. & Andersson, G. 2010. On integration of plug-in hybrid electric vehicles into

existing power system structures/ Energy Policy 38: 6736–6745.

Goel, L., Wu, Q. & Wang, P. 2006. Reliability Enhancement of a Deregulated Power System Considering

Demand Response. IEEE PES General Meeting: 1-6.

A mixed integer linear programming based approach for unit commitment in smart grid environment 156

Goel, L., Wu, Q. & Wang, P. 2007. Reliability Enhancement and Nodal Price Volatility Reduction of

Restructured Power Systems with Stochastic Demand Side Load Shift. IEEE General Meeting: 1-8

Hosseini, S. H., Khodaei, A. & Aminifar, F. 2007. A Novel Straightforward Unit Commitment method

for Large-Scale Power Systems. IEEE Trans. Power Syst. 22(4): 2134 - 2143.

Huang, S. J. 2001. Enhancement of hydroelectric generation scheduling using ant colony system based

optimization approaches. IEEE Trans. Energy convers. 16(3): 296-301.

IEA.2010. Strategic Plan for the IEA Demand-Side Management Program 2004-2009. www.iea.org.

Kazarlis, S. A., Bakirtzis, A. G. & Petridis, V. 1996. A genetic algorithm solution to the unit commitment

problem. IEEE Trans. Power Syst. 11(1): 83-92.

Kempton, W., Tomic, J., Letendre, S., Brooks, A. & Lipman, T. 2005. Vehicle-to-grid power: battery,

hybrid and fuel cell vehicles as resources for distributed electric power in California, Davis, CA.

Institute of Transportation Studies. Report #IUCD-ITSRR: 01-03.

Kempton, W. & Tomic, J. 2005. Vehicle-to-grid power fundamentals: Calculating capacity and net

revenue. J. Power Sources. 144 (1): 268–279.

Kempton, W. & Tomic, J. 2005. Vehicle-to-grid power implementation: From stabilizing the grid to

supporting large-scale renewable energy. J. Power Sources. 144(1): 280–294.

Kirschen, D. S., Strbac, G., Cumperayot, P. & Mendes, D. 2000. Factoring the Elasticity of Demand in

Electricity Prices. IEEE Trans. on Power Syst. 15(2): 612-617.

Kirschen, D. S. & Strbac, G. 2005. Fundamentals of Power System Economics. John Wiley & Sons

Ltd, 2004C. R. Associates, Primer on demand side management. Report for the World Bank: 6–9.

Li, C. A., Johnson, R. B. & Svoboda, A. J. 1997. A new unit commitment method. IEEE Trans. power

syst. 12(1): 113-119.

Ma, O., Alkadi, N., Cappers, P., Denholm, P., Dudley, J., Goli, S., Hummon, M., Kiliccote,

S., MacDonald, J., Matson, N., Olsen, D., Rose, C., Sohn, M. D., Starke, M., Kirby, B. &

O’Malley, M. 2013. Demand Response for Ancillary Services. IEEE Transactions on Smart Grid.

(4): 1988-1995.

Mantawy, A. H., Soliman, S. A. & El-Hawari, M. E. 2002. A new Tabu search algorithm for the longterm

hydro scheduling problem. In Proc. Large Eng. Syst. Conf. Power Eng.: 29-34.

Li, T. & Shahidehpour, M. 2005. Price-Based Unit Commitment: A Case of Lagrangian Relaxation

Versus Mixed Integer Programming, Prices. IEEE Trans. on Power Syst. 20(4): 2015-2025.

Ouyang, Z. & Shahidehpour, M. 1991. An Intelligent Dynamic Programming for Unit Commitment

Application. IEEE Trans. Power Syst. 6(3): 1203-1209.

Padhy, N. P. 2004. Unit commitment-A bibliographical Survey. IEEE Trans. Power Syst. 19(2): 1196-1205.

Pourmousavi, S. A. & Nehrir, M. H. 2014. Introducing Dynamic Demand Response in the LFC Model.

IEEE Trans. Power Syst. (99): 1-11.

Quinn, C., Zimmerle, D. & Bradley, T. H. 2010. The effect of communication architecture on the

availability, reliability, and economics of plug-in hybrid electric vehicle-to-grid ancillary services.

Journal of Power Sources 195: 1500–1509.

Ruiwei, J., Jianhui, W., Muhong, Z. & Yongpei, G. 2013. Two-Stage Minimax Regret Robust Unit

Commitment. IEEE Transactions on Power Systems. 28(3): 2271-2282.

Saber, A. Y. & Venayagamoorthy, G. K. 2010a. Intelligent unit commitment with vehicle-to-grid -A

cost-emission optimization. Journal of Power Sources 195: 898–911.

Saber, A. Y. & Venayagamoorthy, G. K. 2010b. Plug-in Vehicles and Renewable Energy Sources for

Cost and Emission Reductions. IEEE Trans. on Industrial Elec. 21(6): 1371-1378.

Sarjiya, Mulyawan, A. B., Setiawan, A. & Sudiarso, A. 2013. Thermal unit commitment solution using

genetic algorithm combined with the principle of Tabu search and priority list method. International

Conference on Information Technology and Electrical Engineering (ICITEE). 414-419.

R. Ghadiri Anari M. Rashidinejad and M. Fotuhi-Firuzabad

Schweppe, F. C., Caramanis, M. C., Tabors, R. D. & Bohn, R. E. 1989. Spot Pricing of Electricity.

Kluwer Academic Publishers. Appendix E.

Su, C. L. & Kirschen, D. 2009. Quantifying the Effect of Demand Response on Electricity Markets.

IEEE Trans. on Power Syst. 24(3): 1199-1207.

Swarup, K. S. & Yamashiro, S. 2003. A genetic algorithm approach to generator unit commitment. Int.

J. Electr. Power Energy Syst. 25: 679-687.

Tomic, J. & Kempton, W. 2007. Using fleets of electric-drive vehicles for grid support. J. Power Sources.

(2): 45-468.

Tseng, C. L., Li, C. A. & Oren, S. S. 2000. Solving the Unit commitment Problem by a Unit Decommitment

Method. Journal of Optimization Theory and Applications. 105(3): 707-730.

Williams, B. D. & Kurani, K. S. 2006. Estimating the early household market for light-duty hydrogenfuel-

cell vehicles and other “Mobile Energy” innovations in California: A constraints analysis. J.

Power Sources 160(1): 446-453.

Yu, N. & Yu, J. 2006. Optimal TOU Decision Considering Demand Response Model. IEEE, Int. Conf. on

Power Syst. Techno. Chongqing: 1-5.

Zhanle, W., Paranjape, R., Sadanand, A. & Zhikun C. 2013. Residential demand response: An

overview of recent simulation and modeling applications. 26th Annual IEEE Canadian Conference

on Electrical and Computer Engineering (CCECE). 1-6.

Zhao, B., Guo, C. X., Bai, B. R. & Cao, Y. J. 2006. An improved particle swarm optimization algorithm

for unit commitment. Int. J. Elect. Power Energy Syst., 28(7): 482-490.

### Refbacks

- There are currently no refbacks.