Energy Storage Sizing Optimization for Large-Scale PV Power Plant

Yao, Ming; Cai, Xu

doi:10.1109/access.2021.3081011

Cited by 24 publications

(9 citation statements)

References 24 publications

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“…This paper presents a method adopted for sizing energy storage systems that is based upon a cost-benefit analysis. Yao and Cai (2021) describe how to select the best megawatt-scale Li-ion ESS for a major wind or solar facility in this white paper. It investigates the main functions of an ESS, such as ramp rate control, smoothing power shaping, peak shaving, and frequency management.…”

Section: Economic Challenges and Cost Reductionmentioning

confidence: 99%

Review of ancillary services and optimal sizing of an energy storage system in a microgrid

Singh,

Jain

2023

Multidiscip. Rev.

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The rapid growth of distributed energy generation has brought new challenges for the management and operation of power systems. Voltage fluctuation is one of the primary factors preventing further photovoltaic (PV) penetration in low-voltage networks. The proper sizing and location of any storage system are essential for reducing costs and eliminating losses, which is another element. This review presents an in-depth overview of the different ancillary services that storage systems may offer and a proper sizing of energy storage systems (ESS). Different kinds of ESSs store energy in different ways. Some of these have reached their full potential, while others are still being worked on. Specific storage solutions may be picked depending on how well the application needs to run. Pumped-hydro and thermal energy storage systems are best for large-scale energy storage, while battery energy storage systems are highly suggested for high power and energy needs. Most of the time, supercapacitors, superconducting magnetic energy storage (SMES), and flywheel energy storage (FES) are used for short-term and fast-response uses. Hydrogen and methane are not often used to store energy because they could be more efficient. A few case studies are also given.

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Section: Economic Challenges and Cost Reductionmentioning

confidence: 99%

Review of ancillary services and optimal sizing of an energy storage system in a microgrid

Singh,

Jain

2023

Multidiscip. Rev.

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“…Various energy storage systems (ESSs) and energy conversion technologies can be used to utilize surplus renewable energy without discarding it [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Many studies have been conducted to examine the need for optimal capacity of energy storage devices. However, most studies target energy storage devices to reduce volatility in conjunction with renewable energy generation complexes or energy storage devices to increase the operational flexibility of micro-grids [4][5][6][7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization

Lee,

Jung,

Lee

et al. 2023

Energies

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Increasing the proportion of carbon-free power sources, such as renewable energy, is essential for transitioning to a zero-carbon power system. However, when the rate of grid expansion and flexibility cannot match the rate of renewable energy increase, surplus energy is the result. Surplus energy can be discarded through curtailment or stored and utilized when required. The optimal equipment configuration of the storage system should be determined based on the surplus energy characteristics. This study proposes an optimal energy storage mix configuration method by considering long-term forecasts of surplus energy in the South Korean renewable energy supply and power grid expansion plan. The surplus energy by time slot is comprehensively analyzed considering renewable energy power output, power demand, and power system operation constraints. We calculate the required power and energy of storage devices. Furthermore, we construct a long-term optimal energy storage mix using surplus energy generation patterns and technical and economical characteristics of storage technologies. The total cost minimization was considered as the objective function, comprising three elements: initial construction, equipment replacement, and loss costs for charging and discharging. We propose a time sequence analysis (TSA) method that enables chronological analysis from the starting year to the final target year. The TSA method provides an energy storage mix configuration roadmap that can utilize surplus energy for various years over the entire period, considering the annual increase in surplus energy and commercialization timing of each storage technology. We compare the difference between our proposed TSA method and the method that analyzes only the final target year to validate the superiority of this methodology.

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“…In [18], different methods are presented for sizing batteries only in photovoltaic energy plants to maximize the total annual revenue and try to find cost-effective storage sizes. In [19], the maximization of economic indexes are evaluated to obtain a hybrid plant, but with PV generation and storage, which is the only asset to be sized. In [20], the problem of optimal storage operation together with wind generation to maximize profit is investigated.…”

Section: Introductionmentioning

confidence: 99%

Optimal Sizing and Operation of Hybrid Renewable Power Plants Participating in Coupled Power Markets with Different Execution Times

et al. 2023

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The increasing limitations in the use of fossil fuels due to their limited availability and pollution have increased the use of renewable energies and storage systems for electricity generation. To achieve the goals of the integration of renewable energy, sizing and management methods for hybrid plants are needed to make investments profitable and attractive in these resources. This work presents an optimization method for the sizing and operation of hybrid plants with storage, choosing the best combination of technologies based on resource availability, installation costs and market prices, maximizing an economic index such as the net present value. One of the main contributions of this work is to reduce the oversizing that occurs in traditional methods through a penalty term for lost energy, encouraging investment in batteries to store excess energy above the point of interconnection (POI). In addition, it is intended to cover gaps such as the operation in coupled markets with different execution periods to maximize the benefits of the investment made and to contemplate different generation alternatives together with storage. The presented method is tested through sizing and operation simulations to demonstrate its potential. The presented method is tested through sizing and operation simulations to demonstrate its potential. In scenario A, the best combination of solar energy, photovoltaic energy and storage, is chosen. In scenario B, it is shown how the curtailment of the oversizing is reduced in some months by more than 5%. In scenario C, for daily operation in coupled markets, it is possible to improve the benefits from 0.7% to 37.04% in the days of the year.

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Energy Storage Sizing Optimization for Large-Scale PV Power Plant

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 24 publications

References 24 publications

Review of ancillary services and optimal sizing of an energy storage system in a microgrid

Review of ancillary services and optimal sizing of an energy storage system in a microgrid

Energy Storage Mix Optimization Based on Time Sequence Analysis Methodology for Surplus Renewable Energy Utilization

Optimal Sizing and Operation of Hybrid Renewable Power Plants Participating in Coupled Power Markets with Different Execution Times

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