Thermal power system dynamic scheduling method of wind power integration
A technology of system dynamics and scheduling methods, applied in wind power generation, single-network parallel feed arrangement, etc., can solve problems such as low operating efficiency, unsatisfactory scheduling and distribution of thermal power unit output, unstable power grid system, etc., and achieve low total cost Effect
Inactive Publication Date: 2014-11-05
XIAN UNIV OF TECH
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Problems solved by technology
[0003] The purpose of the present invention is to provide a dynamic dispatching method for thermal power system with wind power connected to the grid, which solves the instability of the entire power grid system caused by the connection of large-capacity wind power in the prior art, and the reasonable dispatching process of the output of thermal power units Unsatisfactory middle distribution leads to low operating efficiency of the system
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[0043] The thermal power system dynamic scheduling method of wind power grid-connected in the present invention is specifically implemented according to the following steps:
[0044] Step 1. Setting and acquisition of related parameters
[0045] The method of the present invention mainly involves three types of parameters: 1) related parameters of algorithm operation; 2) related parameters of wind power unit; 3) related parameters of thermal power unit.
[0046] 1.1) Set the relevant parameters of the algorithm operation
[0047] Set the maximum number of iterations to iter max , iter max It is an integer, the value is 500, the initial value of the number of iterations is iter=1; the learning factor is set to c 1 、c 2 (c 1 and c 2 Take it as a natural number between [0,3], it is recommended to use a fixed value c 1 = c 2 =2.05), r 1 、r 2 It is a random number between [0,1]; the scheduling period is h, h=1,2,...,H, according to the actual operation of the power grid, ...
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The invention discloses a thermal power system dynamic scheduling method of wind power integration. The thermal power system dynamic scheduling method comprises the following steps: 1, obtaining wind power and thermal power relevant parameters and relevant information; 2, generating an initial feasible scheduling set; 3, evaluating the feasible scheduling set; 4, updating a feasible scheduling sequence; 5, carrying out feasibility judgment on the updated scheduling sequence; 6, evaluating the new feasible scheduling set; and 7, iterating to obtain an optimal scheduling set. With the adoption of the method provided by the invention, through predication of wind speed of a wind power plant, active power predicted to be output by the wind power plant is obtained; solving of thermal power system dynamic scheduling problem containing the wind power plant is realized by combining a swarm intelligence optimization algorithm based on feedback control; and active power output of each generator set at each period of time is reasonably arranged, so that the cost of generating electricity is minimized in the period.
Description
technical field [0001] The invention belongs to the technical field of industrial control, and relates to a dynamic scheduling method for a thermal power system connected to a wind power grid. Background technique [0002] In recent years, with the continuous improvement of the capacity of wind power and other units, the proportion of wind power in the grid has increased year by year. However, due to the fluctuation and intermittency of wind, the output active power of wind turbines is unstable, but the output active power of thermal power units In this way, in a power grid composed of thermal power units and wind power units, the connection of large-capacity wind power will have a great impact on the stability of the overall power system, which puts forward higher requirements. Therefore, under the premise of short-term prediction of the output of wind power plants, how to realize the reasonable operation of the thermal power system and allocate the output of each thermal ...
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IPC IPC(8): H02J3/46
CPCY02E10/763Y02E10/76
Inventor 吴亚丽张瑾方楚雄
Owner XIAN UNIV OF TECH