Comprehensive algorithm for hydrothermal co-ordination

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Comprehensive algorithm for hydrothermal co-ordination

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The authors present a comprehensive hydrothermal co-ordination algorithm where a new Lagrangian relaxation based hydrothermal co-ordination algorithm is integrated into an expert system. In this algorithm, the problem is decomposed into the scheduling of individual units by relaxing the demand and reserve requirements using Lagrangian multipliers. Dynamic programming is used for solving the thermal subproblems without discretising generation levels. Instead of solving the hydro subproblems independently as in the standard Lagrangian relaxation approach, hydrothermal scheduling is used to solve the output levels of hydro units. Hydrothermal scheduling uses the commitment status of thermal units obtained from the solutions of the thermal subproblems. The expert system takes care of constraints that are difficult or impractical for implementation in the Lagrangian relaxation based hydrothermal co-ordination algorithm, such as cycling of gas and steam turbine units, etc. It is also applied to check the feasibility of the solution. Extensive constraints such as power balance, spinning reserve, minimum up/down time, must run, capacity limits, ramp rate and hydro constraints are considered. Accurate transmission losses are incorporated. Nonlinear cost function is used, and the hydrothermal scheduling is implemented using a fast and efficient algorithm. Numerical results based on a practical utility data show that this new approach provides feasible schedules within a reasonable time.

Inspec keywords: dynamic programming; thermal power stations; hydrothermal power systems; expert systems; hydroelectric power stations; power engineering computing; scheduling; power system planning

Other keywords: constraints; Lagrangian relaxation; transmission losses; hydrothermal power generation planning; hydrothermal co-ordination algorithm; cycling; nonlinear cost function; generation scheduling; dynamic programming; expert system

Subjects: Power engineering computing; Optimisation techniques; Hydroelectric power stations and plants; Optimisation; Expert systems and other AI software and techniques; Power system planning and layout; Thermal power stations and plants

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