Operation optimizing method capable of coordinating operation risk and wind energy consumption of power system

Abstract

The invention discloses an operation optimizing method capable of coordinating operation risk and wind energy consumption of a power system. The method comprises the steps of 1) predicating a load model of the power system, building a wind power model, and forming a net load power model according to the determined load model and the wind power model; 2) building a right end tail part risk related net load sample and a clockwise rotating backup model, determining that the power does not meet the expected value, building a left end tail part risk related net load sample and an anticlockwise rotating backup model, and determining to remove expected wind quantity value; 3) providing weight coefficients according to step 2), substituting into penalty terms, and building an economic dispatch model; 4) solving the economic dispatch model of the step 3) to obtain the primary dispatch operation mode of the power system; 5) predictably improving the wind speed, enabling the wind power predication model to reach accuracy, modifying the dispatch operation mode obtained in step 4) so as to obtain the optimal operation mode through which the wind power predication information can be fully utilized and the risk can be resisted.

Description

technical field [0001] The invention belongs to the field of power system operation optimization and economic dispatching, and in particular relates to a power system operation optimization method for coordinating operation risk and wind energy consumption. Background technique [0002] Driven by energy security and energy conservation and emission reduction, renewable energy power generation has developed rapidly, and its proportion in the power structure has gradually increased; however, while contributing a large amount of clean power, the randomness, volatility, intermittent nature and Uncontrollability has brought unprecedented challenges to the operation of the power system; from the perspective of power system operation, the current bottlenecks in the utilization of wind power generation in my country are concentrated in two aspects: limited channels and difficulties in peak regulation; In the system, tracking the basic active power balance of time-varying loads with un...

AI Technical Summary

Problems solved by technology

[0002] Driven by energy security and energy conservation and emission reduction, renewable energy power generation has developed rapidly, and its proportion in the power structure has gradually increased; however, while contributing a large amount of clean power, the randomness, volatility, intermittent nature and Uncontrollability has brought unprecedented challenges to the operation of the power system; from the perspective of power system operation, the current bottlenecks in the utilization of wind power generation in my country are concentrated in two aspects: limited channels and difficulties in peak regulation; In the system, tracking the basic active power balance of time-varying loads with uncertain power generation resources has become a probabilistic problem; considering extreme situations, wind power may have zero output during peak load periods, and the system’s spinning reserve is insufficient, which may lead to a shortage of active power; During the load period, the wind power may be fully generated, and the ability of conventional units to adjust output is limited, and the load reserve is insufficient, which may easily lead to wind curtailment

[0003] Taking Gansu Power Grid as an example, in 2013, the probability of wind power generation fluctuating by more than 5,000 MWh in adjacent days was as high as 81%, which means that if the province stabilizes the wind power deviation by itself, a 300MW thermal power unit needs to be started and stopped for peak regulation within any 2 days, or 3 The probability of deep peak regulation of a 300MW thermal power unit is as high as 81%, which is difficult to achieve in actual operation; more importantly, the possibility of reverse peak regulation of wind power at night is very high. During the off-peak period, it is not available; and the conservative start-up method of the actual system results in a large reserve gap in the off-peak period, and the wind energy consumption space is insufficient. Abandoning the wind has become a helpless and common choice in reality.

[0004] Therefore, the key to solving the problem of wind power grid-connected peak regulation lies in arranging an operation mode that can balance reliability and economy, and coordinate operation risk and wind energy consumption; however, the existing power system operation optimization methods rarely take into account both reliable operation and sufficient energy consumption. In terms of accommodating two aspects, there is a lack of quantitative description of the mutual constraints between the two, and a lack of optimization in the ratio of positive and negative spinning reserves; there is still a lack of effective technical support for the optimal operation of the power system after large-scale wind power grid-connected; the existing The existing operation optimization methods for large-scale wind power systems seldom take into account the two aspects of operation risk and wind energy consumption. The pursuit of the two goals tends to be biased, and there is no effective means for the selection of positive and negative spinning reserves.

Images