A Novel Differentiated Control Strategy for an Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features DOI Creative Commons

Wei Xiao,

Jun Jia,

Weidong Zhong

et al.

Batteries, Journal Year: 2024, Volume and Issue: 10(4), P. 143 - 143

Published: April 22, 2024

In large-capacity energy storage systems, instructions are decomposed typically using an equalized power distribution strategy, where clusters/modules operate at the same and durations. When dispatching shifts from stable single conditions to intricate coupled conditions, this strategy inevitably results in increased inconsistency hastened system aging. This paper presents a novel differentiated comprising three control variables: rotation status, operating boundaries for both depth of discharge (DOD) C-rates (C) within period. The proposed integrates aging cost prediction model developed express mapping relationship between these variables costs. Additionally, it incorporates multi-colony particle swarm optimization (Mc-PSO) algorithm into minimize consists functions: predicting health features (HFs) based on cumulative charge/discharge throughput quantity boundaries, characterizing HFs as comprehensive scores, calculating costs scores residual equipment value. Further, we elaborated engineering application process strategy. simulation scenarios, prolonged service life by 14.62%, reduced overall 6.61%, improved module consistency 21.98%, compared with traditional summary, proves effective elongating life, reducing costs, increasing benefit systems particular scenarios.

Language: Английский

A Bi-Level Optimization Scheme for Energy Storage Configuration in High PV-Penetrated Distribution Networks Based on Improved Voltage Sensitivity Strategy DOI Creative Commons
Bo Gao, Qing Du, Zhan Gao

et al.

Energies, Journal Year: 2025, Volume and Issue: 18(8), P. 1908 - 1908

Published: April 9, 2025

This study proposes a bi-level optimization strategy to determine the optimal location and capacity for energy storage systems. Before applying proposed scheme, PV output data are clustered by K-means algorithm, an active power–voltage sensitivity is presented identify nodes with high in data. Based on of nodes, model established location, rated power, using particle swarm (PSO) algorithm. Finally, compared traditional voltage methods, some case studies scheme executed IEEE-33 bus system, which reveals better performance reducing deviation, network losses, economic costs.

Language: Английский

Citations

0
A Novel Differentiated Control Strategy for Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features DOI Open Access

Wei Xiao,

Jun Jia,

Weidong Zhong

et al.

Published: March 22, 2024

In large-capacity energy storage systems, instructions are decomposed typically using an equalized power distribution strategy, where clusters/modules operate at the same and durations. When dispatching shifts from stable single conditions to intricate coupled conditions, this strategy inevitably results in increased inconsistency hastened system aging. This paper presents a novel differentiated comprising three control variables: rotation status, operating boundaries for both Depth of Discharge (DOD) C-rates (C) within period. The proposed integrates aging cost prediction model developed express mapping relationship between these variables costs. Additionally, it incorporates multi-colony particle swarm optimization (Mc-PSO) algorithm into minimize consists functions: predicting health features (HFs) based on cumulative charge/discharge throughput quantity boundaries, characterizing HFs as comprehensive scores, calculating costs scores residual equipment value. Further, we elaborated engineering application process strategy. simulation scenarios, prolonged service life by 14.62%, reduced overall 6.61%, improved module consistency 21.98%, compared with traditional summary, proves effective elongating life, reducing costs, increasing benefit systems particular scenarios.

Language: Английский

Citations

1
Multi-Type Energy Storage Collaborative Planning in Power System Based on Stochastic Optimization Method DOI Open Access

Yinguo Yang,

Qiuyu Lu, Zhenfan Yu

et al.

Processes, Journal Year: 2024, Volume and Issue: 12(10), P. 2079 - 2079

Published: Sept. 25, 2024

As the proportion of renewable energy in power system continues to increase, that will face risk a multi-time-scale supply and demand imbalance. The rational planning storage facilities can achieve dynamic time–delay balance between demand. Based on this, order realize location capacity optimization determination multiple types system, this paper proposes collaborative framework for storage. proposed is modelled as two-stage MILP model based scenarios via stochastic method. In first stage, investment decisions are made two storage: battery (short term) hydrogen (long term). second operation simulation conducted typical scenarios. Finally, progressive hedging (PH) algorithm applied efficient solving model. A modified IEEE 39-bus test used verify validity PH algorithm.

Language: Английский

Citations

1
A Novel Differentiated Control Strategy for an Energy Storage System That Minimizes Battery Aging Cost Based on Multiple Health Features DOI Creative Commons

Wei Xiao,

Jun Jia,

Weidong Zhong

et al.

Batteries, Journal Year: 2024, Volume and Issue: 10(4), P. 143 - 143

Published: April 22, 2024

In large-capacity energy storage systems, instructions are decomposed typically using an equalized power distribution strategy, where clusters/modules operate at the same and durations. When dispatching shifts from stable single conditions to intricate coupled conditions, this strategy inevitably results in increased inconsistency hastened system aging. This paper presents a novel differentiated comprising three control variables: rotation status, operating boundaries for both depth of discharge (DOD) C-rates (C) within period. The proposed integrates aging cost prediction model developed express mapping relationship between these variables costs. Additionally, it incorporates multi-colony particle swarm optimization (Mc-PSO) algorithm into minimize consists functions: predicting health features (HFs) based on cumulative charge/discharge throughput quantity boundaries, characterizing HFs as comprehensive scores, calculating costs scores residual equipment value. Further, we elaborated engineering application process strategy. simulation scenarios, prolonged service life by 14.62%, reduced overall 6.61%, improved module consistency 21.98%, compared with traditional summary, proves effective elongating life, reducing costs, increasing benefit systems particular scenarios.

Language: Английский

Citations

1