Dynamic Load Scheduling Optimization of Power Plants

نویسندگان

  • S Mohan Kumar
  • Tarun Prakash Mathur
  • Marc Antoine
چکیده

In this paper a Mixed Integer Dynamic Optimization (MIDO) framework is exploited for combined Unit Commitment and Economic Load Scheduling (UCELS) optimization of power plants. Economic load scheduling optimization problem is formulated as a Dynamic Optimization (DO) problem that allows us to optimize the plant operations by taking into account the time varying dynamics. Dynamic optimization problem together with the switching (on/off) states of the generating units as binary decision variables is formulated as MIDO problem. Load scheduling optimization of a power plant is carried out with the objective of minimizing a cost function that includes fuel cost, emission cost, start-up cost, shutdown cost, equipment ageing cost and penalty cost for not meeting load demand. Typical constraints for the optimization problem that are considered here include ramping constraints, minimum and maximum load constraints associated with the power plant units e.g., gas turbine, boilers, steam turbine, etc. MIDO problem thus formulated is solved using the dynamic optimization tool equipped with a Mixed Integer Linear Programming (MILP) solver. Models for the power plant units are developed using the object oriented modeling language, Modelica. In this study, a typical Combined Cycle Power Plant (CCPP) and Fossil Fired Power Plant (FFPP) configuration is considered for the verification of load scheduling optimization solutions for different scenarios. Keywords—Load scheduling; Power plant; MIDO; CCPP; FFPP

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تاریخ انتشار 2014