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Optimization method of wind power grid-connected coordination dispatch based on peak shaving margin

An optimization method and coordinated dispatching technology, applied in wind power generation, single grid parallel feeding arrangement, etc., can solve the problem of insufficient peak shaving capacity margin, larger peak-to-valley difference of system equivalent load, and statistical analysis of wind power uncertainty And other issues

Inactive Publication Date: 2016-04-13
STATE GRID GANSU ELECTRIC POWER CORP +1
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Problems solved by technology

[0003] Many studies use the wind speed model based on the Weibull distribution law and the scene analysis theory to model the wind power output, and then the predicted wind power output is fully connected to the grid to participate in dispatching. Although these modeling methods have improved the accuracy of wind power forecast output power, but It is not easy to be flexibly combined with the dispatching plan, the coordination and dispatching ability is poor, and it is easy to have insufficient peak-shaving capacity margin, so it is necessary to consider the peak-shaving margin to optimize the modeling of the dispatching plan, Zhang Wei. Under the condition of large-scale wind power grid-connected Research on active power dispatching of power system [D]. Master's thesis of Northeast Electric Power University. 2013
[0004] The large-scale wind power connection leads to a larger peak-to-valley difference in the equivalent load of the system, which intensifies the difficulty of peak regulation of the system. In order to ensure the safe and reliable operation of the system, sufficient reserve capacity must be reserved
In many optimization models, a certain percentage of the total amount of wind power is used as additional reserve capacity to cope with the random variation of wind power, but this deterministic method does not give statistical analysis to the uncertainty of wind power, and in fact only reserves 100% of wind power The spinning reserve at the capacity level can ensure the absolute safety of the system, Zhou Wei, Peng Yu, Sun Hui, et al. Dynamic Economic Dispatch of Power System Including Wind Farm[J]. Chinese Journal of Electrical Engineering, 2009, 29(25): 13- 18
Many studies have begun to use probabilistic methods to determine reserve capacity, combining the probability distribution of load forecast error and wind power output forecast error with the cumulative outage capacity probability model of the unit to obtain the cumulative outage capacity probability table COPT of the unit, and then use the function to simulate The combined method can obtain the reserve capacity under different unit combinations, so that the system can still reach the expected reliability level after the wind power is connected to the grid. Big error, Zhang Guoqiang, Wu Wenchuan, Zhang Boming. Coordinated optimization of active power operation backup considering wind power access [J]. Electric Power System Automation, 2011, 35(12): 15-19

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  • Optimization method of wind power grid-connected coordination dispatch based on peak shaving margin
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  • Optimization method of wind power grid-connected coordination dispatch based on peak shaving margin

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Embodiment

[0068] Such as figure 1 As shown, the priority method is used to determine the starting mode of the unit ( figure 1 in boxes 1-10). According to the priority table, the first N units are put into operation according to the load demand and reserve capacity; judge whether the power balance constraint of formula (7) is satisfied; start the N+1 unit; obtain the unit combination in the t period; judge whether all dispatching times are completed the unit arrangement; obtain the initial solution of the unit combination; judge whether the minimum start-stop time constraint of formula (10) is satisfied; correct the initial solution and remove the redundant unit; output the optimal combination of the unit; the above nine steps are respectively figure 1 2, 3, 4, 5, 6, 7, 8, 9, 10 in boxes. The particle swarm optimization algorithm is used to determine the optimal load distribution ( figure 1 in boxes 11-20). Initialize the particle population; determine whether the spinning reserve c...

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Abstract

The invention discloses a wind power integration coordinated dispatching optimization method based on a peak regulation margin. The wind power integration coordinated dispatching optimization method based on the peak regulation margin is characterized in that because wind power outputting is uncertain, the peak regulation capacity of a system is described by using a 24-point peak regulation margin index, and wind power integration power and positive and negative rotary spare capacity of the system are confirmed; in order to achieve the purpose of minimizing the total running cost, which comprises hydraulic power and thermal power running cost, wind power abandoning punishment cost and system standby punishment cost, of the system, a wind power integration coordinated dispatching optimizing model is established; and a good countermeasure is provided for solving a conflict between the operating economy of the conventional unit and wind power utilization benefit.

Description

technical field [0001] The present invention relates to a wind power grid-connected coordinated scheduling optimization method based on peak-shaving margin. Specifically, the present invention proposes a 24-point peak-shaving capacity margin index, and determines wind power grid-connected power and system Positive and negative spinning reserve capacity, the establishment of a wind power grid-connected coordination scheduling optimization model with the goal of minimizing the total operating cost of the system, including water, thermal power operating price costs, wind power curtailment penalty costs, and system reserve penalty costs, belongs to the field of electrical information. Background technique [0002] The optimal dispatching problem of traditional power system is to achieve the goal of minimizing power generation cost and pollutant emission, and based on constraints such as system power balance, reserve demand, and unit output limitation, the generation plan for opti...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/38
CPCH02J3/46Y02E10/76
Inventor 刘天琪曾雪婷李茜陈振寰王福军李晓虎杨春祥关铁英
Owner STATE GRID GANSU ELECTRIC POWER CORP