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With the development of renewable generation, more and more photovoltaic generations (high penetration of PV) are connected to the distribution network. Besides the stochastic nature of electric load connected to the distribution network, the high penetration PV will intensify the randomness of power tracking in the distribution network because of the nature characteristic of solar intensity. These two stochastic processes can give rise to great difference between the practical power flow and the prediction curve, which will make the power generation planning difficult. Now, energy storage device is deemed effective method solving fluctuation of renewable energy power generation, specially, in grid-connected PV in regional distribution network. Power and capacity optimization of energy storage device is critical to successfully apply in practice. In order to solve this problem, this paper proposed the configuration of storage system for distribution network after a series of stochastic process analysis and software simulation. Firstly, Power configuration is obtained according to stochastic nature study of prediction error of PV output power and distribution network load. Then capacity configuration is figured out based on power configuration and stochastic process analysis. At last, an example in Jiangxi China will be investigated to illustrate the proposed principle of the energy system configuration.
Renewable Power Generation (RPG 2011), IET Conference on
Date of Conference: 6-8 Sept. 2011