Stochastic robust optimization-based energy storage allocation method of wind field system

A system energy storage and configuration method technology, applied in the field of wind field system energy storage configuration, to achieve the effect of ensuring safe operation and reducing requirements

Active Publication Date: 2017-05-31
STATE GRID ZHEJIANG ELECTRIC POWER +1
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Problems solved by technology

These methods are based on precise renewable energy output or precise probability distributions, which have certain limitations

Method used

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  • Stochastic robust optimization-based energy storage allocation method of wind field system
  • Stochastic robust optimization-based energy storage allocation method of wind field system
  • Stochastic robust optimization-based energy storage allocation method of wind field system

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Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.

[0037] The present invention adopts the following steps:

[0038] 1) Describe the wind power forecast error as a random variable that satisfies a given second moment and fluctuation;

[0039] 2) Then, from the set of probability distribution functions satisfying the above-mentioned second-order moment characteristics of random variables, the probabilistic analysis bar joint opportunity constrained optimization model is used to describe the energy storage configuration problem of the wind farm system;

[0040] 3) Then transform the probabilistic analysis bar joint opportunity constrained optimization model into a deterministic linear matrix inequality;

[0041] 4) Finally, the convex optimization algorithm is used to solve the problem.

[0042] The wind power forecast error in step 1) is described as a random variable using the following formula:

[0043] μ 0 ...

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Abstract

The invention discloses a stochastic robust optimization-based energy storage allocation method of a wind field system. A scenario method, stochastic programming, interval programming and an artificial intelligence method are widely used for energy storage planning of a renewable energy-containing system at present. These methods are based on accurate renewable energy output or accurate probability distribution and have certain limitations. The method comprises the steps of describing a wind power prediction error as a random variable meeting given second-order moment and fluctuation quantity; describing an energy storage allocation problem containing the wind field system by a probability distribution function set meeting the second-order moment characteristics of the random variable by adopting a probability distribution robust joint opportunity constraint optimization model; converting the probability distribution robust joint opportunity constraint optimization model into definitive linear matrix inequalities; and finally solving the definitive linear matrix inequalities by adopting a convex optimization algorithm. According to the stochastic robust optimization-based energy storage allocation method, an economical and optimal energy storage allocation scheme meeting the safe operation requirements of a power system under the worst distribution of wind power can be obtained.

Description

Technical field [0001] The invention relates to a wind farm system energy storage configuration method, in particular to a wind farm system energy storage configuration method based on random robust optimization. Background technique [0002] Wind power generation is currently the most mature and economically beneficial renewable energy power generation technology. It is environmentally friendly. The large-scale application of wind power meets my country's requirements for low-carbon power. However, with the increasing penetration rate of wind power, the inherent randomness, volatility and intermittent nature of wind power make the large-scale grid connection of wind power pose a serious threat to the safe and stable operation of the power system. [0003] Energy storage devices have been used in recent years to solve the problem of large-scale wind power grid connection due to their flexible operation mode, rechargeable and rechargeable, and environmental compatibility. The intro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02J3/38H02J3/46
CPCH02J3/386H02J3/46H02J2203/20Y02E10/76
Inventor 傅旭华王蕾叶承晋孙可张西竹
Owner STATE GRID ZHEJIANG ELECTRIC POWER
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