Optimal Capacity Planning of Hybrid Energy Storage System in Active Distribution Network on the Basis of Discrete Fourier Transform

doi:10.3969/j.issn.1000-7229.2018.08.011

Abstract

Abstract: Taking into account the complementary of energy-type and power-type, this paper proposes an optimal capacity planning model of hybrid energy storage system （HESS） in active distribution network （ADN） based on discrete Fourier transform （DFT） to minimize the investment-operation cost of HESS. DFT is used to decompose the power of HESS into low-frequency component and high-frequency component. Low-frequency component is undertaken by energy-type energy storage system （EESS） and high frequency component is undertaken by power-type ESS （PESS）. Considering the influence of charge and discharge state on the lifetime of EESS, the depth of charge and discharge of EESS is calculated as well as the loss of lifetime of EESS. Actual lifetime of EESS is calculated and represent by investment-operation cost. In addition, taking into consideration the time-of-use electricity price and the difference of transaction power price, the optimal charge and discharge power of HESS and the reduction of lifetime loss of EESS are achieved. Case study is performed by use of modified IEEE 14-node distribution network and typical summer daily operation data. The results demonstrate the proposed model is correct and effective.

Key words: active distribution network （ADN）, hybrid energy storage system （HESS）, discrete Fourier transform（DFT）, lifetime loss, energy transaction

CLC Number:

TM 73

ZHONG Guobin, WU Tao, ZENG Jie, XIE Kaigui, WANG Chao, HU Bo. Optimal Capacity Planning of Hybrid Energy Storage System in Active Distribution Network on the Basis of Discrete Fourier Transform[J]. Electric Power Construction, 2018, 39(8): 85-93.

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