Application of DDDP for Optimal Daily Operation of the Niagara Generating Systemby H. A. North, Ontario Hydro, Canada,
K. Lacivita, Ontario Hydro, Canada,
I. Corbu, Ontario Hydro, Canada,
Abstract: This paper describes the application of Discrete Differential Dynamic Programming (DDDP) to determine the optimal operation of Ontario Hydro's Niagara Generating System, on an hourly basis, over a time horizon of one day. The system consists of one partially controlled reservoir called Grass Island Pool (GIP) and one fully controlled Pump Generating Station (PGS) reservoir. There are four conventional hydraulic stations and one Pump Generating Station in this system, having a total installed capacity of approximately 2,100 MW. The objective of this DDDP optimization model is to maximize the worth of energy produced by Ontario Hydro's Niagara Generating System. Opportunities to further increase production by transferring water from some of Ontario Hydro's older, less efficient stations to the New York Power Authority's Robert Moses Generating Station at Lewiston, New York, are also identified. A 'trajectory saving' technique is used in the DDDP optimization model to reduce the computational requirements by an expected 35%.
Subject Headings: Power plants | Optimization models | Hydro power | Pumping stations | Hydrologic models | Reservoirs | Computer programming | Hydraulic models | North America | Ontario | Canada | United States | New York
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