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Author:

Wang, Zhuning (Wang, Zhuning.) | Yang, Shengbo (Yang, Shengbo.) | Xue, Fan (Xue, Fan.) | Tan, Zhongfu (Tan, Zhongfu.) | Liu, Wenxia (Liu, Wenxia.) | Ju, Liwei (Ju, Liwei.)

Indexed by:

EI Scopus SCIE

Abstract:

Shared-energy storage (SES) can break the energy interaction barrier between the demand side and the supply side, which is becoming an option for improving the flexibility of energy systems. This study designed a novel structure for the shared-energy aggregator (SEA), incorporating a microgrid (MG), prosumer and SES. Then, a two-level market transaction optimization model for SEA, considering the robust stochastic optimization method, is proposed; namely, at the day-ahead stage, a robust stochastic operation optimization model is constructed to achieve the dispatching plan from the demand side under the objective of achieving the minimum energy consumption cost for the prosumer, and at the real-time market stage, a robust stochastic operation optimization model from the supply side is constructed to arrange the optimal dispatching strategy under the objective of the maximum aggregator benefits of MG and SES. Finally, an industrial park micro-grid in Qinghai Province, China, is selected as an example for analysis. The study design a novel structure of the shared energy aggregator (SEA) incorporating microgrid (MG), prosumer and SES. Then, a two-level market transaction optimization model for SEA considering robust stochastic optimization method is proposed, namely, in the day-ahead stage, a robust stochastic operation optimization model is constructed to achieve the dispatching plan from the demand side under the objective of the minimum energy consumption cost of prosumer, and in the real-time market stage, a robust stochastic operation optimization model from the supply side is constructed to arrange the optimal dispatching strategy under the objective of the maximum aggregator benefits of MG and SES. Finally, an industrial park microgrid in Qinghai Province, China, is selected as an example for analysis. image

Keyword:

robust control energy storage

Author Community:

  • [ 1 ] [Wang, Zhuning]North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
  • [ 2 ] [Liu, Wenxia]North China Elect Power Univ, Sch Elect & Elect Engn, Beijing, Peoples R China
  • [ 3 ] [Yang, Shengbo]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China
  • [ 4 ] [Yang, Shengbo]Beijing Energy Dev Res Ctr, Beijing, Peoples R China
  • [ 5 ] [Xue, Fan]State Grid Shanxi Elect Power Co, Taiyuan Power Supply Co, Taiyuan, Shanxi, Peoples R China
  • [ 6 ] [Tan, Zhongfu]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China
  • [ 7 ] [Ju, Liwei]North China Elect Power Univ, Sch Econ & Management, Beijing, Peoples R China

Reprint Author's Address:

  • [Yang, Shengbo]Beijing Univ Technol, Sch Econ & Management, Beijing 100124, Peoples R China;;

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Source :

IET RENEWABLE POWER GENERATION

ISSN: 1752-1416

Year: 2024

Issue: 8

Volume: 18

Page: 1535-1555

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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