Scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method

A technology of power system and optimization method, which is applied in the direction of wind power generation, single-network parallel feeding arrangement, etc., and can solve problems such as errors

Active Publication Date: 2020-03-24
CHINA THREE GORGES UNIV
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Problems solved by technology

The Monte Carlo sampling method is a sampling method based on random numbers and pseudo-random numbers. It is a completely random sampling technique. Points with higher s

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  • Scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method
  • Scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method
  • Scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method

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Embodiment Construction

[0088] like figure 1 , figure 2 As shown, based on the scenario set-based dynamic scheduling optimization method for power system with wind power, the quantitative relationship between the power system backup demand and the reliability index is deduced, and the unit combination model is established. Minimum and minimum available spare cost, the scheduling optimization method includes the following steps,

[0089] Step 1: Obtain the probability distribution of wind power output forecast error and the probability distribution of load forecast error according to the wind power output forecast and load forecast data;

[0090] Step 2: According to the probability distribution of wind power output forecast error and load forecast error probability distribution, Latin hypercube sampling is used to generate wind power output scenarios and load scenarios as the initial scenario set; the unit N-1 fault scenario set established according to the unit forced outage rate , add the initia...

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Abstract

The invention discloses a scene set-based wind power-containing electric power system operation standby dynamic scheduling optimization method, which comprises the following steps of sampling to generate a wind power output scene and a load scene as an initial scene set according to wind power output prediction error probability distribution and load prediction error probability distribution; screening the initial scene set by adopting a synchronous back substitution reduction method to obtain a representative scene set; calculating a power loss index and a wind curtailment index of each scenein the representative scene set; calculating an up-regulation standby demand and a down-regulation standby demand; taking the up-regulation standby demand and the down-regulation standby demand as reliability constraints, and establishing a day-ahead unit combination model; and solving the day-ahead unit combination model to obtain a day-ahead unit start-stop plan, an output plan and standby configuration. According to the method, the wind power output scene and the load scene are constructed, the forced outage rate of the generator is considered, the unit output and standby decision dynamiccoordination scheduling model is established, and wind curtailment and power limitation caused by insufficient standby are avoided.

Description

technical field [0001] The invention belongs to the field of electric power system power generation dispatching, and in particular relates to a scene set-based dynamic dispatching optimization method for electric power systems containing wind power. Background technique [0002] The power system operation reserve refers to the fast active response capacity reserved to cope with load fluctuations, wind power output fluctuations, generator outages and other uncertainties, and to meet the needs of reliable and continuous power supply to loads. Insufficient spare capacity allocation will lead to a decrease in system security and reliability, and in severe cases, it will result in wind curtailment and load shedding operations; too much allocation will improve system reliability, but it will result in a wasteful situation of spare capacity. Large-scale wind power grid connection brings more uncertainties. Traditional backup decision-making and scheduling methods are difficult to d...

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Application Information

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IPC IPC(8): H02J3/46H02J3/38
CPCH02J3/46Y02E10/76
Inventor 周云海黄鹏翔赵吉祥廖攀峰田昌赵品超郭胜凯龙子琦贾倩辛月杰张韬
Owner CHINA THREE GORGES UNIV
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