Wind power plant-containing power system optimal scheduling method using improved wolf pack algorithm

A power system and optimal scheduling technology, applied in wind power generation, computing, computing models, etc., can solve problems such as difficult to guarantee duality, slow algorithm convergence, long iteration time, etc., to reduce the total cost of power generation, strengthen search capabilities, search high precision effect

Pending Publication Date: 2020-07-10
CHINA THREE GORGES UNIV
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Problems solved by technology

When the dynamic programming method involves the power change rate of thermal power generating units, it is difficult to complete the staged conversion, and with the increase of the number of thermal power generating units, it is easy to cause "dimension disaster"; the priority method is difficult to deal with generating units in different time periods Combination problem, resulting in inaccurate calculation of generator start-stop costs; Lagrange relaxation method in solving non-convex objective function, the duality is difficult to guarantee, and there is a certain probabilit

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  • Wind power plant-containing power system optimal scheduling method using improved wolf pack algorithm
  • Wind power plant-containing power system optimal scheduling method using improved wolf pack algorithm
  • Wind power plant-containing power system optimal scheduling method using improved wolf pack algorithm

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[0020] An optimal scheduling method for power systems with wind farms using improved wolf pack algorithm. First, a wind power generation cost model and a thermal power generation cost model are established. The wind power generation cost is the expected cost, the overestimated cost generated when the wind speed is small, and the The sum of the underestimated costs generated; the cost of thermal power generation takes into account the valve point effect of thermal power units; then, an optimal dispatching model of the power system including wind farms is established including the objective function and constraints, and the objective function is the sum of the cost of wind power generation and the cost of thermal power generation The minimum value of , the constraints include power balance constraints, output power constraints and ramp rate constraints; finally, the improved wolf pack algorithm is used to solve the optimal dispatch model of the power system with wind farms, and re...

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Abstract

The invention discloses a wind power plant-containing electric power system optimal scheduling method utilizing an improved wolf pack algorithm. The method comprises the steps: 1, establishing a windpower generation cost model and a thermal power generation cost model; 2, establishing a wind power plant-containing power system optimal scheduling model comprising an objective function and constraint conditions; and 3, solving the wind power plant-containing power system optimal scheduling model by utilizing an improved wolf pack algorithm. When the method is used for optimal scheduling of a power system containing a wind power plant, the total power generation cost can be reduced, and the economy of the power system can be improved.

Description

technical field [0001] The invention relates to the technical field of electrical dispatching of a power system containing a wind farm, in particular to an optimal dispatching method of a power system containing a wind farm using an improved wolf pack algorithm. Background technique [0002] Power system scheduling refers to adjusting the output and operating status of generators in the entire system according to some specific constraints in the process of power load distribution, generally referring to the start or stop of generators and some specific constraints of the system , in order to achieve the purpose of reasonable distribution of system load. Traditional dispatching methods usually aim at the economy such as the lowest system power generation cost. However, with the rise of the new energy industry, more and more clean energy sources such as wind energy and solar energy are connected to the grid, which makes random and fluctuating components appear in the tradition...

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Application Information

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IPC IPC(8): H02J3/46H02J3/00H02J3/38G06N3/00
CPCH02J3/46H02J3/008G06N3/006Y02E10/76
Inventor 邹红波周冬
Owner CHINA THREE GORGES UNIV
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