Multi-wind-curtailment-area wind storage capacity configuration method

Abstract

The invention discloses a multi-wind-curtailment-area wind storage capacity configuration method based on a multi-objective optimization technology. According to the method, the problem of energy storage capacity optimal configuration during wind storage system planning can be solved so as to deal with the problems of prediction assessment and wind curtailment of the wind power plant in the multi-wind-curtailment area. According to the method, on the basis of the principle that wind curtailment of a power station is reduced to the maximum extent in a multi-wind-curtailment-area wind power plant, and by adopting an energy storage system to compensate wind power short-term prediction errors and meet the requirement for reducing fines of the power station, a charging and discharging mathematical description model of a multi-wind-curtailment-area wind power plant energy storage system is established; on the basis, an energy storage system scheduling strategy is coupled, the operation of awind storage system is simulated, the wind storage capacity is optimally configured by utilizing a multi-objective optimization model, and the method is analyzed and evaluated by applying wind storagesimulation of an example wind power plant. Experiments show that the method can realize effective energy storage capacity configuration and reach optimization expectation.

Description

technical field [0001] The invention relates to the field of joint development of wind farms and energy storage for new energy power generation, in particular to a multi-objective wind storage capacity allocation method for multiple abandoned wind areas. Background technique [0002] The power system is a complex dynamic system, and it is the responsibility of the power grid to maintain the power balance among power generation, transmission and consumption. According to the daily load curve, the power grid dispatching organization can formulate a power generation plan to meet the power demand of the next day. The output power of wind farms is fluctuating and intermittent. The large-scale access of wind power has greatly increased the difficulty of making power generation plans. Wind power has brought great challenges to the dispatching and operation of the power system. Configuring a certain-capacity energy storage system for wind farms is one of the effective means to alle...

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Problems solved by technology

[0004] The present invention aims to overcome the technical problems that the output power of wind farms is fluctuating and intermittent in the prior art, and the large-scale access of wind power leads to greatly increased difficulty in making power generation plans, and provides a multi-objective optimization technology based multi-abandonment The regional wind storage capacity allocation method establishes an efficient multi-objective optimization model using historical power time series and power grid dispatching data, considering the minimum assessment penalty of the wind power prediction system, the maximum wind storage operation benefit, the minimum abandoned wind power, and investment economy It is best to simulate the joint operation model of wind storage through multi-objective optimization technology under multi-objective conditions to obtain a more reliable wind storage capacity allocation plan

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