Optimization method for spinning reserve of power system with wind farms considering wind power spillover

Abstract

The invention discloses a wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration. The wind power integrated power system spinning reserve optimizing method taking wind power overflow into consideration comprises integrating a system uncertainty risk analyzing method and a cost-benefit analyzing method under multi-scenario probability to establish a unit commitment model taking wind power overflow into consideration, by improving a multi-scenario probability-based risk analyzing method capable of simultaneously taking load, wind power predication uncertainty and unit forced outage into consideration, can take the wind power overflow into consideration when computing system load loss risks, and by calculating the target of routine unit generation cost and minimum expected outage cost through cost-benefit analysis, obtains optimized spinning reserve capacity. The wind power integrated power system spinning reserve optimizing method takes wind power overflow into consideration and accordingly can comprehensively take system operation economical benefits into consideration during determining of system spinning reserve to achieve low operation cost.

Description

technical field [0001] The invention belongs to the technical field of power system operation and dispatching, in particular to a method for optimizing a spinning reserve of a power system including a wind farm considering wind power overflow. Background technique [0002] In recent years, many countries have replaced traditional energy with wind power to reduce the consumption of fossil fuels and emissions of greenhouse gases. However, affected by various natural factors such as wind speed, the output of wind farms is strongly random and uncontrollable, which brings great challenges to the safe and economical operation of the power system. Especially with the increasing scale of wind farms in the system, the traditional unit combination model with deterministic spinning reserve can no longer cope with the randomness of wind power output and the inaccuracy of its prediction. The system needs to configure additional reserves to deal with It fluctuates randomly. [0003] Aim...

AI Technical Summary

Problems solved by technology

There are two commonly used reliability indicators: loss of load probability (LOLP) and expected energy not served (EENS); probabilistic methods can ensure that the system always maintains the set reliability level and achieves this level. The economy is optimal at the level of reliability, but it is still unable to answer the question of how to set the reliability level and whether it is reasonable

[0006] (3) Cost-benefit analysis method: This method solves the above-mentioned needs by introducing the idea of ​​value of lost load (VOLL) to analyze the economic value of backup costs and benefits, and to find the best balance point between costs and benefits. Artificially set the reserve capacity or reliability index that must be met; however, the wind power overflow is not considered in the cost-benefit analysis method, and the reasonable consumption of wind power cannot be realized

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