Planning-Operation Co-Optimization Model of Active Distribution Network With Energy Storage Considering the Lifetime of Batteries

Xiang, Dong; Zhang, Yuying; Jiang, Tong

doi:10.1109/access.2018.2875173

Cited by 17 publications

(16 citation statements)

References 32 publications

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“…It is necessary to equally apply models accounting for battery cycle life and consider the effectiveness of service lifetime when planning decisions are made, so that the battery can be planned and operated more economically [15].…”

Section: B Literature Reviewmentioning

confidence: 99%

“…However, due to the intrinsic high nonlinearity of Peukert's law and the discrete logical judgments in the rainflow counting algorithm [16], it is difficult to obtain an analytical expression for the cycle life assessment model and embed it into the planning optimization problem. To this end, several simplified models are adopted [15], [17], [18]. Reference [17] considers sizing and allocation of mobile energy storage for muti-services, where a fixed given project life in years is assumed and linear lifetime constraints are imposed on the battery charge exchanged with the grid.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Reference [17] considers sizing and allocation of mobile energy storage for muti-services, where a fixed given project life in years is assumed and linear lifetime constraints are imposed on the battery charge exchanged with the grid. In [15] where co-optimization of active distribution network with energy storage is addressed, piecewise linearized battery lifetime model based on weighted throughput method is utilized to formulate lifetime constraints for Lead-acid battery. In [18], a linear empirical approach based on the cycling ampere-hour that the battery undergoes is adopted to estimate the battery cycle life.…”

Section: B Literature Reviewmentioning

confidence: 99%

“…Compared with existing works [4]- [9], the proposed model does not rely on specific modeling deployed for uncertain wind generations and accommodates for wide-ranging applications. Compared with existing works [15], [17], [18], the proposed model evaluates cycle-life degradation more accurately since a precise Peukert's Law based cycle life model is utilized for battery lifetime estimation.…”

Section: ) Contributionmentioning

confidence: 99%

“…This model is based on a direct current (DC) power flow [20] and leaves out the reactive power of BESS and network. This simplification is adopted in many existing studies [3]- [9], [15], [18], [19], since BESS's support on real power balance is the main focus. All constraints are listed as follows.…”

Section: B Restraint Conditionsmentioning

confidence: 99%

See 4 more Smart Citations

Cycle-Life-Aware Optimal Sizing of Grid-Side Battery Energy Storage

Zhang

Wang

et al. 2021

IEEE Access

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Grid-side electrochemical battery energy storage systems (BESS) have been increasingly deployed as a fast and flexible solution to promoting renewable energy resources penetration. However, high investment cost and revenue risk greatly restrict its grid-scale applications. As one of the key factors that affect investment cost, the cycle life of battery heavily depends on its charging/discharging actions during the operation, particularly in the presence of uncertain renewable generation. In this context, it is necessary to consider the operation-dependent cycle life of batteries in optimal BESS sizing, which imposes great challenges to the modeling and solving of the planning problems. In this paper, we propose a novel two-level optimal sizing model for grid-scale BESS, considering its operation under uncertainties induced by volatile wind generation. In the lower level, a long-term chronological operation simulation of BESS is processed with an accurate cycle life model of batteries; in the upper level, marginal economic utility analysis and BESS size reforming are conducted to approach the optimal size of BESS. An iterative algorithm is designed to solve the model effectively. The proposed method is verified on a modified IEEE RTS-24 system and a real provincial power grid of China. INDEX TERMS battery energy storage, optimal sizing, cycle life, marginal utility analysis I. INTRODUCTION A. BACKGROUND VOLUME 4, 2016 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

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Section: B Literature Reviewmentioning

confidence: 99%