Research on the Principle and Structure of a New Energy Storage Technology Named Vacuum Pipeline Maglev Energy Storage

Tang, Wenbing; Xiao, Liye; Shi, Liming; Zheng, Wang; Yang, Wan‐Min; Wei, Tongzhen; Du, Xuan

doi:10.1109/access.2020.2992525

Cited by 10 publications

(3 citation statements)

References 3 publications

(1 reference statement)

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“…The provided code utilizes dynamic programming to optimize the cost of an electrical storage system by efficiently managing energy storage and discharge. It addresses the challenge of meeting energy demand while minimizing costs [33]. By constructing a 2D matrix, the algorithm calculates the minimum cost of meeting energy demand at each time interval, considering charging power limits and energy prices.…”

Section: Using Non-recursive Approachmentioning

confidence: 99%

Cost optimization of electricity in energy storage system by dynamic programming

Mishra,

Routray,

Pattanayak

et al. 2024

IJAPE

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This paper presents a dynamic programming solution for the cost optimization of an electric storage system. The objective is to minimize the total cost of meeting electricity demand over a specified time interval, considering energy constraints and costs. The proposed algorithm efficiently determines the optimal energy discharge and charge strategies for the storage system, resulting in reduced overall costs. The effectiveness and efficiency of the algorithm are demonstrated through various test cases, highlighting its potential for real-world applications in energy storage systems and electric grid management. It also provides an overview of different types of electrical storage systems, review recent research on optimization techniques for energy storage, and examines recent studies on the optimization of electrical storage systems for specific applications, such as peak load shaving and grid stability. Through this comprehensive analysis, we hope to shed light on the current state of the field and identify areas for further research and improvement.

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Section: Using Non-recursive Approachmentioning

confidence: 99%

Cost optimization of electricity in energy storage system by dynamic programming

Mishra,

Routray,

Pattanayak

et al. 2024

IJAPE

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show abstract

“…The integration of microgrids into the distribution network establishes an Active Distribution Net-work (ADN) comprising multiple interconnected microgrids. This necessitates a coordinated approach to power dispatch between the ADN and microgrids, aiming to facilitate on-site consumption of new energy sources and enhance the overall reliability and economic efficiency of the system [1].…”

Section: A Motivationmentioning

confidence: 99%

Optimizing Grid-Connected Multi-Microgrid Systems With Shared Energy Storage for Enhanced Local Energy Consumption

Lu,

Zheng,

et al. 2024

IEEE Access

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In response to the growing demand for sustainable and efficient energy management, this paper introduces an innovative approach aimed at enhancing grid-connected multi-microgrid systems. The study proposes a strategy that involves the leasing of shared energy storage (SES) to establish a collaborative micro-grid coalition (MGCO), enabling active participation in the dispatching operations of active distribution networks (ADNs). A hierarchical framework wherein the ADN assumes the role of the central orchestrator is developed, while the MGCO and SES operators (SESO) function as responsive entities within a single-leader multi-follower game optimization model. The ADN leader implements timeof-use (TOU) pricing mechanisms as a strategic incentive to encourage active engagement from the MGCO and SESO followers in peak regulation dispatch activities. In response to these TOU policies, the followers implement a two-stage dispatch optimization strategy. The first stage is dedicated to optimizing energy storage utilization. Within this phase, each microgrid meticulously fine-tunes its energy storage charging and discharging strategies with the primary objectives of mitigating power fluctuations, reducing load variance, minimizing energy storage costs, and facilitating on-demand leasing of energy storage resources. Subsequently, energy storage resources are pooled and shared to harness collective benefits and enhance alliance-wide energy utilization. Emphasis is placed on prioritizing the integration of renewable energy sources, promptly responding to peak demand regulation and scheduling, maximizing overall benefits, and equitably distributing cooperative advantages among alliance members. To substantiate the effectiveness of this comprehensive methodology, the paper presents illustrative results that provide compelling evidence of its potential to facilitate the seamless integration of microgrids, shared energy storage, and active distribution networks.

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“…Energy storage can realize the migration of energy in time, and then can adjust the change of electric load. Therefore, it is widely used in smoothing the load power curve, cutting peaks and filling valleys as well as reducing load peaks [1][2][3][4][5][6]. China has also issued corresponding policies to encourage the development of energy storage on the user side, and pointed out that the peak-to-valley difference in electricity prices is expected to be further widened in the future, and the room for users to benefit from additional energy storage will be further expanded.…”

Section: Introductionmentioning

confidence: 99%

Optimization Strategy of Configuration and Scheduling for User-Side Energy Storage

Liu

Guan

et al. 2021

Electronics

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In order to reduce the impact of load power fluctuations on the power system and ensure the economic benefits of user-side energy storage operation, an optimization strategy of configuration and scheduling based on model predictive control for user-side energy storage is proposed in this study. Firstly, considering the cost and benefits of energy storage comprehensively, an energy storage configuration optimization model with the highest annualized net income as the goal is built to determine the parameters for configuring energy storage. Then, with the goal of maximizing the profit during the scheduling period, pre-month scheduling optimization model, day-ahead scheduling optimization model and intra-day scheduling optimization model are established. The goal of the pre-month scheduling optimization model is to determine the maximum monthly demand; part of the scheduling results in the day-ahead scheduling optimization model directly participate in the intra-day scheduling; the intra-day rolling optimization relies on the advantages of real-time feedback and closed-loop scheduling to smooth out power fluctuations caused by load forecast errors. Finally, the configuration and economic benefit of lithium iron phosphate batteries, lead-carbon batteries and sodium-sulfur batteries are analyzed and compared, and scheduling analysis is performed. The simulation results show that the proposed optimization method can cut peaks and fill valleys, ensure the economic benefits of users, and provide guidance for users to invest in energy storage.

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Research on the Principle and Structure of a New Energy Storage Technology Named Vacuum Pipeline Maglev Energy Storage

Cited by 10 publications

References 3 publications

Cost optimization of electricity in energy storage system by dynamic programming

Cost optimization of electricity in energy storage system by dynamic programming

Optimizing Grid-Connected Multi-Microgrid Systems With Shared Energy Storage for Enhanced Local Energy Consumption

Optimization Strategy of Configuration and Scheduling for User-Side Energy Storage

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