A Hybrid Energy Storage Capacity Configuration Optimization Method for Smoothing Wind Power Fluctuations

Abstract

The invention discloses an optimizing method of mixed energy accumulation capacity configuration for stabilization wind power fluctuation; the method comprises the following steps: generating a coordination control strategy, using a fuzzy control theory for generating a correction adjustment coefficient Kc with SOE1(t-1) and Delta SOE1(t) based on a distribution reference power of a state of energy SOE1(t-1) constraint empirical mode decomposition of power type energy accumulation under a time domain, distributing the actual output power of the mixed energy accumulation; establishing an economy model using the mixed energy accumulation cost as a target function and constraint conditions of the model; using genetic algorithm with chaotic disturbance and quantum computation for optimizing the configuration scheme of the mixed energy accumulation system based on the established economy model and the constraint conditions of the model. The disclosed optimizing method of mixed energy accumulation capacity configuration for stabilization wind power fluctuation is able to achieve the protection to the power type energy accumulation by the coordination control; and the method has the advantages of high in optimization precision, fast in optimization process calculation, and wide in application range.

Description

technical field [0001] The invention relates to the technical field of wind power generation, in particular to a hybrid energy storage capacity configuration optimization method for smoothing wind power fluctuations. Background technique [0002] Wind power generation has been widely used due to its high efficiency and cleanliness. However, the large randomness and fluctuation of wind speed affect the safety and stability of wind power grid-connected operation, resulting in a serious waste of wind power station power. According to the current wind power grid connection standard GB / T 19963-2011 "Technical Regulations for Wind Farm Connected to Power System", the limit value of wind power active power change ΔP limit Refer to Table 1: [0003] Table 1 Recommended list of active power change limits [0004] [0005] Because the hybrid energy storage system can realize the time-space transfer of electric energy, it is considered to be an effective means to stabilize wind p...

AI Technical Summary

Problems solved by technology

However, the energy distribution principle of the hybrid energy storage system composed of power type and energy type has become a limiting factor for the use of hybrid energy storage systems to stabilize wind power fluctuations

[0007] The energy storage system is relatively expensive and has a limited lifespan. How to allocate the output of the hybrid energy storage system to stabilize the fluctuation of wind power active power and configure an economical, reasonable and effective capacity solution for the hybrid energy storage system based on coordinated control has become a problem that needs to be solved urgently.

[0008] At present, there are many methods for power distribution of hybrid energy storage systems. For example, the Chinese patent "A Control Method for Hybrid Energy Storage System to Suppress Intermittent Power State decomposition and hybrid energy storage system charging and discharging priority effectively allocate the output power of the hybrid energy storage system, but it does not take into account the energy storage energy state's limitation on its output power capability and the protection of power-type energy storage overcharging and discharging, which has the disadvantage of certain limitations

[0009] Application number CN201310675017.2 of the Chinese patent "A Power Allocation Method for Hybrid Energy Storage System" considers the characteristics of hybrid energy storage, based on frequency domain analysis, uses filters to separate the output power of hybrid energy storage, and uses the state of charge of energy storage to change the filter Constant T, but frequency domain-based filter decomposition has a delay phenomenon in the real-time power distribution of energy storage, and the separated energy storage output power cannot reflect its detailed information and energy storage characteristics in the time domain

[0010] The Chinese patent of application number CN201410062240.4 "Method for determining the capacity of hybrid energy storage power station for smoothing wind power fluctuations" establishes a hybrid energy storage charge and discharge model with the goal of reducing the number of battery charge and discharge, and optimizes the capacity of the hybrid energy storage power station As the objective function, the optimal capacity of the hybrid energy storage power station is sought through the particle swarm algorithm. This patent considers the coordinated control strategy to protect the battery based on the principle of reducing battery charge and discharge, and establishes the operating cost of the energy storage economy, but does not consider The factors of energy storage cycle life cost, and the use of classic particle swarm algorithm may lead to slow optimization, easy to fall into local optimum and other problems

[0011] In the process of realizing the present invention, the inventors found that there are at least disadvantages in the prior art that coordinated control does not protect the power-type energy storage, the optimization process has low precision, slow calculation speed and low adaptability, etc.

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