Optimal Allocation and Economic Analysis of Energy Storage Capacity of New Energy Power Stations Considering the Full Life Cycle of Energy Storage

Yao, Zhongyuan; Wu, Kai; Zhang, Yu; Yan, Qihui; Shi, Junfeng; Sun, Jia Lin; Hu, Hexiang; Li, Bin; Ye, Jilei

doi:10.1109/ei256261.2022.10117016

Cited by 6 publications

(1 citation statement)

References 8 publications

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“…However, ES was not considered. A model was developed in [15] to optimize ES capacity planning by considering investment costs and battery lifespan to achieve overall economic efficiency. An improved particle swarm optimization (IPSO) algorithm was used in [16] to optimize energy storage capacity, with the objectives of minimizing voltage fluctuations and enhancing economic factors.…”

Section: Introductionmentioning

confidence: 99%

Achieving an Optimal Decision for the Joint Planning of Renewable Power Supply and Energy Storage for Offshore Oil–Gas Platforms

Hu,

Deng,

Liu

et al. 2023

Applied Sciences

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To address the complexity of siting and sizing for the renewable energy and energy storage (ES) of offshore oil–gas platforms, as well as to enhance the utilization of renewable energy and to ensure the power-flow stability of offshore oil–gas platforms, this paper proposes a hierarchical clustering-and-planning method for wind turbine (WT)/photovoltaic (PV) ES. The proposed strategy consists of three stages. First, the WT/PV power generation is forecast by a LightGBM model. The WT/PV siting and sizing at each node of the distribution network is optimized with a particle swarm optimization (PSO) algorithm, with the objectives of economy and stability. In the second stage, the distribution network is partitioned into sub-clusters, based on a voltage and loss-sensitivity index. Finally, the ES siting and sizing is optimized with PSO to minimize the line loss and the voltage fluctuation for each sub-cluster. The relationship between the economic and stability indicators is conducted quantitatively in the joint-planning approach. Considering the 10 kV distribution network of an oil–gas platform in the Bohai Sea of China as an example, our experiments demonstrated that by adjusting the WT/PV ES capacity for different gas-turbine power outputs, line losses can be reduced by 55–66% and voltage fluctuations can be reduced by 30.4–47.5%.

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Section: Introductionmentioning

confidence: 99%

Achieving an Optimal Decision for the Joint Planning of Renewable Power Supply and Energy Storage for Offshore Oil–Gas Platforms

Hu,

Deng,

Liu

et al. 2023

Applied Sciences

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Performance Evaluation of Thailand’s 8 MW Wind Farm Feeder Trip, Energy Generation, and Loss Using 5 MWh BESS—A Statistical and Economic Approach

Ngoenmeesri,

Chindaruksa,

Wangkeeree

et al. 2024

IEEE Access

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In this study, an operational 8 MW wind farm was analyzed through a statistical approach to determine the wind speed and feeder trip correlation with energy loss and energy production. In December, a higher wind potential was recorded; however, a higher feeder trip was recorded during the low wind potential period of October, with a maximum duration of 1800 min. The box plot and histogram show that a higher feeder trip occurred at a wind speed of 4-6 m/s which indicates that grid voltage and load consumption were the major causes of the feeder trip. The Pearson Correlation method expressed a similar trend for feeder trips associated with energy losses that had a very strong positive correlation compared to feeder trip time.To improve the stability of the wind farm's power generation, a 1-5 MWh battery energy storage system was studied to determine its impact on the grid voltage at the wind farm and the load terminals. It was found that 411071.84 kWh is enhanced for a 5 MWh battery energy storage system compared to the conventional wind farm. This enhancement in power production shows a positive correlation of grid voltage at the factory, village 1, wind farm, village 2, and village 3 with a range of 0.703, 0.873, 0.665, 0.894, and 0.896, respectively. Further, the economic analysis of the 5 MWh battery incorporation increased the annual revenue to 2825585 baht with a payback period of 7.79 years and a return on investment of 0.10 years.

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Optimization strategies for clearing the electric energy and FM market with combined thermal energy and storage

Li,

Sun,

Zhao

et al. 2024

2024 36th Chinese Control and Decision Conference (CCDC)

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Optimal Allocation and Economic Analysis of Energy Storage Capacity of New Energy Power Stations Considering the Full Life Cycle of Energy Storage

Cited by 6 publications

References 8 publications

Achieving an Optimal Decision for the Joint Planning of Renewable Power Supply and Energy Storage for Offshore Oil–Gas Platforms

Achieving an Optimal Decision for the Joint Planning of Renewable Power Supply and Energy Storage for Offshore Oil–Gas Platforms

Performance Evaluation of Thailand’s 8 MW Wind Farm Feeder Trip, Energy Generation, and Loss Using 5 MWh BESS—A Statistical and Economic Approach

Optimization strategies for clearing the electric energy and FM market with combined thermal energy and storage

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