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Research On The Control Strategy Of Energy Storage System With Improving The Scheduling Flexibility Of PV

Posted on:2017-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y N GengFull Text:PDF
GTID:2272330485958143Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The randomness and fluctuation of photovoltaic power generation brings a lot of negative impacts to the distribution network, which is one of the main factors that affect the grid connected with the large-scale PV system. The energy storage has the characteristics of flexible charging and discharging, controllable output power. And it can store and transform electricity into other energy forms. Using energy storage technology can effectively solve the problem of grid connected with photovoltaic power generation, and improve the flexibility of scheduling problem of photovoltaic power generation. Under these backgrounds, this paper focuses on the two aspects of energy storage system, namely the siting and sizing problem and control strategy of energy storage system. The main work of this paper is as follows:Firstly, the research of the siting and sizing problem is studied in this paper on the basis of the energy storage system in the distribution network. The multi-objective optimization problem incorporating the siting and sizing of energy storage system is developed with the help of analyzing the benefit brought about by the energy storage system. Particle swarm optimization is used to solve the problem with the purpose of load fluctuation minimization, voltage fluctuation alleviation and capacity optimization.Aiming at the mixing energy storage system composed of battery and super capacitor, the composite energy storage system control strategy used to stabilize the imbalance of power fluctuations is designed. Considering the energy storage system status, a two-layer composite energy storage management method is proposed, based on the low-pass filter principle and the principle of sliding average to determine distribution of composite energy storage system of power, to achieve the battery for low-frequency component of the imbalance power control, and super capacitors for high-frequency component of the imbalance of power to stabilize in order to optimize the overall performance of composite energy storage system.Based on the controlling strategy of composite energy storage system mentioned before, the analysis of the impacts of parameters relating to operation on the allocation and investment of energy storage system is presented in this paper. Selection of the energy storage system initial state of charge, making it a day at the minimum configuration to meet the charge and discharge energy needs change; considering the characteristics of the battery and super capacitor themselves, establish an annual cost based on full life-cycle costs of composite energy storage system computing model. Stabilizing at a given target constraints, it is used to minimize compound annual cost energy storage systems for the optimization target, obtain the optimal operation control parameters and configured accordingly and the cost of two kinds of storage media.Finally, based on the photovoltaic power generation data of a certain area, mixing energy storage system composed of battery and super capacitor used to stabilize the imbalance of power fluctuations, with the aim of improving the scheduling flexibility of PV and minimize the whole life-cycle costs of the storage energy, meanwhile verifying the validity of the energy storage system control strategy.
Keywords/Search Tags:Photovoltaic power generation, Schedulability, Composite energy storage, Siting and sizing, Low-pass filter, Control strategy
PDF Full Text Request
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