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Automatic power generation control scheduling method based on hybrid algorithm

A technology of automatic power generation control and hybrid algorithm, applied in the direction of photovoltaic power generation, electrical components, circuit devices, etc., can solve the problems of less wind, photovoltaic, equivalent series resistance and complementary control of other frequency adjustment resources, and achieve the goal of reducing economic benefits Effect

Pending Publication Date: 2022-01-28
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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Problems solved by technology

[0004] This application presents a hybrid algorithm-based automatic generation control scheduling method to address a problem where few studies have dealt with complementary control among wind, photovoltaics, equivalent series resistance, and other frequency regulation resources

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  • Automatic power generation control scheduling method based on hybrid algorithm
  • Automatic power generation control scheduling method based on hybrid algorithm
  • Automatic power generation control scheduling method based on hybrid algorithm

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Embodiment

[0167] In the present invention, the proposed NSGA-II and MOPSO hybrid algorithm AGC scheduling method is simulated and compared under two different load disturbances, and the experimental results are compared with the traditional proportional method (PROP). In the specific implementation, an expanded two-region 7-unit model is taken as an example, including traditional thermal power, hydropower natural gas, wind power, photovoltaic and energy storage resources. The power signal received by each unit varies as figure 2 shown. The parameters are set as follows: AGC control time period is equal to 4s, and the adjustment mileage price is equal to 2$ / MW. The population size and maximum iteration steps of the hybrid algorithm are set to 50 and 50, respectively. FM signal is set to ΔP D =70MW, input load disturbance data and corresponding unit parameters; initialize population number N 1 =50,N 2 =50 Maximum number of iterations T=50. The optimal Pareto frontier is obtained by...

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Abstract

The invention provides an automatic power generation control scheduling method based on a hybrid algorithm, and the method comprises the steps: designing a target function of an automatic power generation control scheduling model, achieving the minimization of total power deviation and the minimization of adjustment mileage payment, and building a dual-target scheduling model in which energy storage resources participate; setting constraint conditions of the scheduling model, and inputting real-time load disturbance conditions and initialization algorithm parameters; adopting a multi-target genetic algorithm and a multi-target particle swarm hybrid algorithm to execute non-dominated sorting, calculating the degree of congestion corresponding to individuals, selecting a solution set, and updating a Pareto solution set to perform a next iteration process; and repeatedly executing the steps until the algorithm converges, and determining the optimal compromise solution of the obtained Pareto frontier by using a multi-attribute boundary approximation area comparison decision method. According to the method, the problem of cooperative scheduling of energy storage resources, new energy and a traditional AGC unit can be solved, and a scheduling scheme conforming to unit constraints is selected for a power grid through the optimization of a hybrid multi-objective algorithm and an objective decision method.

Description

technical field [0001] The present application relates to the technical field of automatic power generation control methods, in particular to an automatic power generation control scheduling method based on a hybrid algorithm. Background technique [0002] In recent years, a large number of wind power and photovoltaic generators have been connected to the grid. On the one hand, since the output of wind power and photovoltaic power generation units is regulated by power electronics, they can respond quickly to dynamic power input regulation commands. On the other hand, due to the impact of climate conditions on large-scale wind power and photovoltaic power generation units, their power generation has large random fluctuations, which intensifies the pressure on power system frequency regulation. In addition, more and more new energy storage resources are being added to the grid, such as chemical battery energy storage, electric vehicles, grid-scale battery energy storage, etc...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/46
CPCH02J3/466H02J2300/24H02J2300/28Y02E10/56
Inventor 何廷一杨博束洪春马红升和鹏孟贤何鑫
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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