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Cited by 21Microgrid Control and OptimizationSmart Grid Energy ManagementPower Systems and Renewable Energy

Optimal Allocation of Energy Storage System Considering Price-Based Demand Response and Dynamic Characteristics of VRB in Wind-PV-ES Hybrid Microgrid

Open access
Gong, Qingwu, Fang, Jintao, Qiao, Hui, Liu, Dong, Tan, Si, Zhang, Haojie, He, Haitao·2019·Processes
DOI 10.3390/pr7080483
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Abstract

Studying the influence of the demand response and dynamic characteristics of the battery energy storage on the configuration and optimal operation of battery energy storage system (BESS) in the Wind-Photovoltaic (PV)-Energy Storage (ES) hybrid microgrid. A demand response model that is based on electricity price elasticity is established based on the time-of-use price. Take the capital-operating cost and direct economic benefit of the BESS and the loss of abandoned photovoltaic and wind power as the optimization objective, an optimal configuration method that considers the dynamic characteristics of the BESS and the maximum absorption of photovoltaic and wind power is proposed while using particle swarm optimization to solve. The results show that the configuration results considering the demand side response of the microgrid BESS can obtain better economy and reduce the storage capacity requirement, and the result shows that the efficiency of BESS relates to the load of the system, the distributed generation (DG) characteristics, and the dynamic characteristics of BESS. Meanwhile, the capacity and power of the energy storage configuration increase as the DG permeability increases due to the reverse load characteristic of the wind power.

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  • Centralized BESS are an efficient means to improve the PVHC in remote areas.

    “At the same time, centralized BESS are an efficient means to improve the PVHC in remote areas [55].”

    From Stochastic Approach for Increasing the PV Hosting Capacity of a Low-Voltage Distribution Network (2022) · cites this paper as [55]

    The Introduction says energy storage can improve clean-energy consumption, and the Abstract describes a BESS configuration intended to maximize absorption of photovoltaic and wind power. The paper does not establish improved photovoltaic hosting capacity specifically, nor does it assess centralized BESS in remote areas. (LLM, conf=0.82)

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References 7 · Cited by 21

Research works printed but not linked: 23

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Authors
Gong, Q., Fang, J., Qiao, H., Liu, D., Tan, S., Zhang, H., & He, H.
Affiliations
Wuhan University (CN)
Corresponding author
Fang, Jintao
ORCID
Venue
Processes
Publisher
MDPI AG
Published
2019-08-01
Volume
7
Issue
8
Pages
483
ISSN
2227-9717 (ISSN-L)
DOI
10.3390/pr7080483
OpenAlex
W2965381675
Cited by
21
References
7
Citations by year
2026: 2 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 6 · 2021: 4 · 2020: 1
FWCI
1.52
Type
journal article
Language
en
Open access
Licence
Locations
  • Processes (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
State Grid Corporation of China (2018YFB0904200)
Topics
  • Physical Sciences › Engineering › Control and Systems Engineering › Microgrid Control and Optimization
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Energy › Energy Engineering and Power Technology › Power Systems and Renewable Energy
Keywords
energy storage sizing, battery energy storage, price-based demand response, vanadium redox flow battery, time-of-use electricity pricing, electricity price elasticity, particle swarm optimization, distributed generation, wind power curtailment, storage capacity optimization

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