Development of Cascade Hydropower Reservoirs Operating System Rule Using Refill and Deplete Ranking Orders

Abstract:

A new model is developed for a cascade of four hydropower reservoirs operation. The aim is to improve the total power generation from the system. Daily data of reservoir level, release and power generated which varies from 4-20 years are used for analysis. Long-term data of reservoir level and inflow are used to determine the critical period. The critical period is classified into four seasons; these are filling, depleting, upper and lower level operating season. Mathematical models are used to rank the refill and the deplete order of the reservoirs. A new rule models are presented using the results of refill and depletion ranks. Power generation using the developed model is compared to the long-term historical generated; and it is found that the new rule model boost the daily power production by 5.3% and the plant factor by 2%.

• Periodical: Advanced Materials Research (Volumes 433-440)
• Pages: 1735-1739
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.433-440.1735
• Online since: January 2012
• Authors: Tilahun Derib Asfaw, Ahmad Mustafa Hashim
• Keywords: Critical Period, Hydropower, Reservoir Operation, Rule Curve

References

[1] J. R. Lund, Developing Seasonal and Long-Term Reservoir System Operation Plans Using HEC-PRM, US Army Corps of Engineers Institute for Water Resources Hydrologic Engineering Center (HEC). RD-40 (1996), Davis.

[2] S.J. Mousavi, M. Karamouz, M.B. Menhadj, Fuzzy-State Stochastic Programming for Reservoir Operation, J Water Resour Plan Manage 130. 6 (2004) 460-470.

DOI: 10.1061/(asce)0733-9496(2004)130:6(460)

[3] X. Liu, S. Guo, P. Liu, L. Chen and X. Li, Deriving Optimal Refill Rules for Multi-Purpose Reservoir Operation, Water Resour Manage 25 (2011) 431-448.

DOI: 10.1007/s11269-010-9707-8

[4] J.R. Lund, Derived Power Production and Energy Drawdown Rules for Reservoirs, J Water Resour Plan Manage 126. 2 (2000) 108-111.

DOI: 10.1061/(asce)0733-9496(2000)126:2(108)

[5] T.D. Asfaw and S. Saiedi, Optimal Short-term Cascade Reservoirs Operation using Genetic Algorithms, Asian Journal of Applied Sciences 4. 3 (2011) 297-305.

DOI: 10.3923/ajaps.2011.297.305

[6] R. Hormwichian, A. Kangrang and A. Lamom, A Conditional Genetic Algorithm Model for Searching Optimal Reservoir Rule Curves, Journal of Applied Sciences 9. 19(2009) 3575-3580.

DOI: 10.3923/jas.2009.3575.3580

[7] M. Homayoun-far, A. Ganji, D. Khalili and J. Harris, Two solution methods for dynamic game in reservoir operation, Advances in Water Resources, 33 (2010) 752-761.

DOI: 10.1016/j.advwatres.2010.04.001

[8] M. -Y. Tu, N. -S. Hsu, F. T. -C. Tsai and W.W. -G. Yeh, Optimization of Hedging Rules for Reservoir Operations, J Water Resour Plan Manage 134. 1(2008) 3-13.

DOI: 10.1061/(asce)0733-9496(2008)134:1(3)

[9] J.T. Shiau, Optimization of Reservoir Hedging Rules Using Multiobjective Genetic Algorithm, J Water Resour Plan Manage 135. 5(2009) 355 – 363.

DOI: 10.1061/(asce)0733-9496(2009)135:5(355)

[10] P. Liu, S. Guo, L. Xiong, W. Li and H. Zhang, Deriving Reservoir Refill Operating Rules by Using the Proposed DPNS Model, Water Resour Manage 20 (2006) 337-357.

DOI: 10.1007/s11269-006-0322-7

[11] S. Barbagallo, S. Consoli, N. Pappalardo, S. Greco and S.M. Zimbone, Discovering Reservoir Operating Rules by a Rough Set Approach, Water Resour Manage 20 (2006) 19-36.

DOI: 10.1007/s11269-006-2975-7

[12] H. C. Ong, T. M. I. Mahlia, and H. H. Masjuki, A review on energy scenario and sustainable energy in Malaysia, Renewable and Sustainable Energy Reviews 15 (2011) 639-647.

DOI: 10.1016/j.rser.2010.09.043