A dynamic programming two-stage algorithm for long-term hydrothermal scheduling of multireservoir systems

• Published in: IEEE transactions on power systems Vol. 13; no. 4; pp. 1534 - 1540
• Main Authors: Ferrero, R.W., Rivera, J.F., Shahidehpour, S.M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.1998; Institute of Electrical and Electronics Engineers
• Subjects: Applied sciences; Character generation; Cost function; Dynamic programming; Dynamic scheduling; Electric power plants; Electrical engineering. Electrical power engineering; Electrical power engineering; Exact sciences and technology; Heuristic algorithms; Hydroelectric power plants; Inventory control, production control. Distribution; Operational research and scientific management; Operational research. Management science; Processor scheduling; Reservoirs; Scheduling algorithm; Scheduling, sequencing; Stochastic processes; Water resources; Hydrothermal growth; Multiple; Scale reduction; Theoretical study; Scheduling; Dynamic programming; Long term; Reservoir hydrostation
• ISSN: 0885-8950; 1558-0679
• DOI: 10.1109/59.736302

A new dynamic programming based algorithm is used for the long-term hydrothermal scheduling of multireservoir systems. The proposed method minimizes the sum of operation costs in two consecutive periods, formulating the hydrothermal scheduling problem as a function of reservoirs' water content in one period. No discretization of state and control variables is required. The proposed algorithm has smaller storage and computing time requirements than the dynamic programming-successive approximations (SA) method. The operation of an example multireservoir system is simulated indicating that the proposed method leads to lower operation costs than those of the SA method.