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Optimum planning of the status of power plant generation units 24 hours a day to reduce production and operation costs
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Mahmoud Zadehbagheri *   |
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Abstract: (1255 Views) |
Planning the unit commitment (UC) is one of the useful and practical methods to reduce generation costs and increase the lifespan of equipment and optimal use of the power network. UC is a non-linear, discontinuous and important problem in the operation of power systems, which is highly complex due to its many limitations and parameters. In this paper, first the UC problem is introduced and all the existing limitations are checked, then the linearization of the problem is discussed, in which case all the nonlinear factors are properly linearized. In the following, the proposed optimal scheduling framework is investigated and modeled under different scenarios on the IEEE 6-bus system. In the first scenario, the problem is investigated in a non-linear way and different modes are investigated, including the effect of the shutdown time of a power plant at the beginning of the planning time. In the second scenario, the linearized problem is investigated and then compared with the nonlinear case. But, one of the most important influencing factors in the planning of the units is the examination of the line outage, which is added as a constraint to the optimization problem and is examined in the third scenario, which in the first mode the line outage between bus 1 and 4 and in another mode, the line outage between bus 1 and 2 is considered. The results show that when the lines outage from the grid, the cost of production and operation of the power system increases. In this paper, the problem is modeled as MILP in GAMS software and solved by CPLEX solver. The results are compared in two normal and abnormal network (line outage) modes. The simulation results show the superiority of the proposed strategy and the reduction of the generation costs of power plants during 24 hours a day.
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| Keywords: Planning, reduction of production cost, UC (unit commitment), operation, cost function, linearization, Economic Dispatch |
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Type of Study: Applicable |
Received: 2023/12/26 | Accepted: 2024/04/25 | Published: 2024/05/21
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