A Bayesian stochastic optimization model for a multi-reservoir hydropower system

Water Resources Management

Volumn 21, Issue 9, 2007, Pages 1465-1485

  Mujumdar, P P ^a   Nirmala, B ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

Bayesian stochastic dynamic programming; Power generation; Reservoir operation; Transition probability

Indexed keywords

DYNAMIC PROGRAMMING; FLOW MEASUREMENT; FORECASTING; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; RANDOM PROCESSES; RESERVOIRS (WATER);

BAYESIAN STOCHASTIC DYNAMIC PROGRAMMING; FLOW FORECASTS; FLOW TRANSITION PROBABILITY; HYDROPOWER GENERATION; MULTI-RESERVOIR HYDROPOWER SYSTEM;

HYDROELECTRIC POWER;

DYNAMIC PROGRAMMING; FLOW MEASUREMENT; FORECASTING; HYDROELECTRIC POWER; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY; RANDOM PROCESSES; RESERVOIRS (WATER);

BAYESIAN ANALYSIS; HYDROELECTRIC POWER PLANT; INFLOW; NUMERICAL MODEL; OPTIMIZATION; POWER GENERATION; RESERVOIR; STOCHASTICITY;

ASIA; EURASIA; INDIA; KARNATAKA; SOUTH ASIA;

EID: 34548040461     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-006-9094-3     Document Type: Article

References (16)

1. Dutta B, Burges SJ (1984) Short-term, single, multiple purpose reservoir operation: Importance of loss function and forecast errors. Water Resour Res 20(9):1167-1176
2. Dutta B, Houck MH (1984) A stochastic optimization model for real-time operation of reservoirs using uncertain forecasts. Water Resour Res 20(8):1039-1046
3. Hashimoto T, Stedinger JR, Loucks DP (1982) Reliability, resiliency and vulnerability criteria for water resources system performance evaluation. Water Resour Res 18(1):14-20
4. Karamouz M (1988) Forecast uncertainty in reservoir operation. In: Proceedings of the 15th Annual Water Resources Conference, Critical Water Issues and Computer Applications, ASCE, New York, pp 265-268
5. Karamouz M (1990) Bayesian Decision Theory and Fuzzy Sets Theory in Systems Operation. Proceedings of the 17th Annual Water Resources Conference. Optimizing the Resources for Water Management, ASCE, New York
6. Karamouz M, Vasiliadis HV (1992) Bayesian stochastic optimization of reservoir operation using uncertain forecasts. Water Resour Res 28(5):1221-1232
7. Kim YO, Palmer RN (1997) Value of seasonal flow forecasts in bayesian stochastic programming. J Water Resour Plan Manage 123(6):327-335
8. Loucks DP, Stedinger JR, Haith DH (1981) Water resources systems planning and analysis. Prentice Hall, Eaglewood Cliffs, NJ
9. Mayer PL (1970) Introduction to probability and statistical applications, 2nd edn. Oxford and IBH, New Delhi, India
10. Modi PN (2000) Irrigation water resources and water power engineering, 4th edn. Standard Book House, Delhi, India
11. Sahai AK, Soman MK, Satyan V (2000) All India summer monsoon rainfall prediction using an artificial neural network. Clim Dyn 16:291-302
12. Salas JD, Delleur JW, Yevjevich V, Lane WL (1980) Applied modeling of hydrologic time series. Water Resources Publications, Highlands Ranch, CO
13. Stedinger JR, Sule BF, Loucks DP (1984) Stochastic dynamic programming models for reservoir operation optimization. Water Resour Res 20(11):1499-1505
14. Suresh KR (2002) Modeling for irrigation reservoir operation. PhD thesis, Department of Civil Engineering, Indian Institute of Science, Bangalore, India
15. Tejada-Guibert JA, Johnson SA, Stedinger JR (1993) Comparison of two approaches for implementing multi-reservoir operating policies derived using stochastic dynamic programming. Water Resour Res 29(12):3969-3980
16. Vijaykumar V, Rao BV, Mujumdar PP (1996) Optimal operation of a multibasin reservoir system. Sadhana 21(4):487-502