Hybrid energy storage capacity configuration method suitable for wind power grid connection

A technology of capacity allocation and hybrid energy storage, applied in wind power generation, energy storage, data processing applications, etc., can solve the problem of high cost of energy storage systems, and achieve the effects of improving optimization accuracy, reducing system errors, and suppressing instability

Active Publication Date: 2020-01-10
STATE GRID XINJIANG ELECTRIC POWER CO ECONOMIC TECH RES INST
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Problems solved by technology

However, the cost of energy storage systems is relatively high, and how to achieve optimal energy s

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  • Hybrid energy storage capacity configuration method suitable for wind power grid connection
  • Hybrid energy storage capacity configuration method suitable for wind power grid connection
  • Hybrid energy storage capacity configuration method suitable for wind power grid connection

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[0019] Specific implementation plan

[0020] Aiming at the instability problem of wind power grid connection, this paper proposes a hybrid energy storage capacity configuration method to suppress wind power instability. First, the overall average empirical mode decomposition is performed on the unbalanced power of wind power, and the filter order d is selected based on the cumulative average of the standardized modes. 1 , D 2 , Divide the compensation order of different energy storage equipment, and determine the power and capacity configuration of different energy storage equipment; then, introduce the gradient method to optimize the filter order, and compare the equipment cost of different filter orders, and select the cost The smallest filter order is used as the power and capacity allocation standard; finally, the opportunity constraint model is established based on the volatility of electricity prices, and the improved quantum genetic algorithm is used to calculate the econom...

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Abstract

The invention discloses a hybrid energy storage capacity configuration method suitable for wind power grid connection. The method comprises the steps of firstly, decomposing wind power unbalanced power, dividing compensation power of different energy storage equipment, and determining capacity configuration of the different energy storage equipment according to the compensation power; then, introducing a gradient method to optimize the filtering order, comprising the equipment cost of different filtering orders, and selecting the filtering order with the minimum cost as the power and capacitydistribution standard; and finally, establishing an opportunity constraint model according to the fluctuation of the electricity price, and calculating the economic cost of the energy storage equipment by using an improved quantum genetic algorithm on the premise of system stability to obtain the hybrid energy storage capacity configuration which not only meets the requirement of stabilizing windpower instability, but also meets the economic cost. According to the invention, an ensemble empirical mode decomposition method, a gradient method, an improved filtering order optimization control system, an opportunity constraint model and an improved quantum genetic algorithm are combined together, capacity configuration is carried out on the hybrid energy storage system, the instability of wind power can be stabilized, and the effects of peak shaving and valley filling are achieved.

Description

technical field [0001] The invention relates to the technical field of a hybrid energy storage capacity allocation method suitable for wind power grid connection. Background technique [0002] With the intensification of global traditional energy shortage and the vigorous promotion of clean energy policies around the world, under the dual pressures of energy demand and environmental protection, the application of distributed renewable energy such as solar energy and wind energy has attracted more and more attention from all countries. However, a large number of distributed power sources are connected to the distribution network, and the randomness and uncertainty of their output have brought new problems to the safe operation of the distribution network. The new energy represented by wind power is profoundly changing the world's power and energy structure. However, the uncertainty, randomness, intermittency and high penetration of wind power have brought obstacles to the int...

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Application Information

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IPC IPC(8): H02J3/38H02J3/32G06Q10/06G06Q50/06
CPCG06Q10/06313G06Q50/06H02J3/32Y02E10/76Y02E70/30
Inventor 夏新茂宋新甫梁钢关洪浩边家瑜余中平任娟
Owner STATE GRID XINJIANG ELECTRIC POWER CO ECONOMIC TECH RES INST
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