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author:

Zhang, Ning (Zhang, Ning.) [1] | Yang, Nien-Che (Yang, Nien-Che.) [2] | Liu, Jian-Hong (Liu, Jian-Hong.) [3]

Indexed by:

EI

Abstract:

With high proportions of renewable energy generation in power systems, the power system dispatch with renewable energy generation has currently become a popular research direction. In our study, we propose a multi-objective dispatch model for a hybrid microgrid comprising a wind generator, photovoltaic (PV) generator, and an energy storage system to optimize the time-of-use (TOU) electricity price. The objective of the proposed multi-objective dispatch model is to max-imize the profit of the power company and demand users, and minimize the proportion of users abandoning PV power and wind power. The elastic price of the load demand with a linear function is employed to optimize the TOU electricity price. Finally, we applied five test cases to validate the practicability of the multi-objective dispatch model. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

Electric energy storage Electric load dispatching Electric utilities Microgrids Photovoltaic cells Profitability Wind power

Community:

  • [ 1 ] [Zhang, Ning]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Zhang, Ning]Department of Electrical Engineering, Yuan Ze University, 135, Yuan-Tung Road, Chung-Li, Taoyuan; 32003, Taiwan
  • [ 3 ] [Yang, Nien-Che]Department of Electrical Engineering, National Taiwan University of Science and Technology, 43, Keelung Road, Section 4, Taipei; 10607, Taiwan
  • [ 4 ] [Liu, Jian-Hong]Department of Electrical Engineering, Yuan Ze University, 135, Yuan-Tung Road, Chung-Li, Taoyuan; 32003, Taiwan

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Source :

Energies

Year: 2021

Issue: 19

Volume: 14

3 . 2 5 2

JCR@2021

3 . 0 0 0

JCR@2023

ESI HC Threshold:105

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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