The Role of Energy Storage with Renewable Electricity Generation

Kumar, Kamlesh; Jaipal, Babu

doi:10.5772/intechopen.96114

Cited by 11 publications

(9 citation statements)

References 35 publications

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“…Significant changes are being forced upon the present distribution networks by a number of related factors, including demand management, integration of renewable energy, power quality standards, targets for reducing greenhouse gas emissions, network growth, and reliability [1][2][3][4][5][6][7][8][9][10][11][12]. According to the U.S. Electric Power Research Institute (EPRI), outages caused by problems with the distribution system are expected to cost approximately 100 billion USD annually [13].…”

Section: Introductionmentioning

confidence: 99%

Optimal allocation of distributed energy storage systems to enhance voltage stability and minimize total cost

Hany,

Mahmoud,

Osman

et al. 2024

PLoS ONE

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The enhancement of energy efficiency in a distribution network can be attained through the adding of energy storage systems (ESSs). The strategic placement and appropriate sizing of these systems have the potential to significantly enhance the overall performance of the network. An appropriately dimensioned and strategically located energy storage system has the potential to effectively address peak energy demand, optimize the addition of renewable and distributed energy sources, assist in managing the power quality and reduce the expenses associated with expanding distribution networks. This study proposes an efficient approach utilizing the Dandelion Optimizer (DO) to find the optimal placement and sizing of ESSs in a distribution network. The goal is to reduce the overall annual cost of the system, which includes expenses related to power losses, voltage deviation, and peak load damand. The methods outlined in this study is implemented on the IEEE 33 bus distribution system. The outcomes obtained from the proposed DO are contrasted with those of the original system so as to illustrate the impact of ESSs location on both the overall cost and voltage profile. Furthermore, a comparison is made between the outcomes of the Ant Lion Optimizer (ALO) and the intended Design of Experiment DO, revealing that the DO has obtained greater savings in comparison to the ALO. The recommended methodology’s simplicity and efficacy in resolving the researched optimization issue make the acquired locations and sizes of ESSs favorable for implementation within the system.

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Section: Introductionmentioning

confidence: 99%

Optimal allocation of distributed energy storage systems to enhance voltage stability and minimize total cost

Hany,

Mahmoud,

Osman

et al. 2024

PLoS ONE

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“…In situations where there is a large gap between generation and consumption, the appropriate addition of energy storage systems can effectively reduce or even resolve curtailment issues [5][6][7]. Energy storage systems can also supply electricity when renewable generation is low [8], reducing traditional generation and thereby lowering CO 2 emissions [9,10].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Energy Storage Requirements in an Independent Power System from an Energy Perspective

Tsai,

Jhan,

Tang

et al. 2024

Applied Sciences

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Taiwan’s power system operates as an isolated grid, preventing the export of surplus energy. Excess electricity is either stored or discarded (curtailed). This study aims to estimate the energy storage requirement for the day with the most extreme electricity consumption behavior in a year without energy curtailment. Based on the installed capacity and actual power generation of renewable energy sources in 2022, this research estimates the power generation per GW of the installed capacity at full load. Integrating the government’s annual installation capacity plans, this study forecasts the annual power generation of renewable sources. Using the electrical load during the 2023 Spring Festival as a baseline and assuming an annual electricity consumption growth rate of 2%, combined with a minimum gas power output of approximately 6 GW, this study calculates the unused power generation, which represents the pumped-storage hydroelectricity and battery energy storage systems requirements for that day under a no-curtailment scenario. Considering the semi-annual adjustments in installation planning, this study’s code is open-sourced and designed to provide updated results with new planning data input, facilitating ongoing adjustments.

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“…In the traditional power distribution system, the power supply is mainly transmitted and distributed through centralized substations and traditional distribution networks [5][6]. However, with the rapid development of distributed generation and renewable energy, more and more small-scale power generation devices, such as solar photovoltaic, wind power, and energy storage, are connected to the distribution system, which makes the traditional centralized configuration no longer able to meet the increasing energy capacity and complex operational requirements [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Exploration and application of new distribution system technology for large-scale distributed distribution network digital service access

Lai,

Zhong,

et al. 2023

Applied Mathematics and Nonlinear Sciences

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Digital technology is leading fundamental innovation and development, and digitalization represents a great opportunity for the energy industry to take off and develop. In this paper, digital and intelligent technologies are used to integrate, analyze, and manage distribution network equipment information. Secondly, a new smart distribution terminal design is proposed and modeled using the IEC 61850 standard to monitor the status of smart distribution grid management equipment. Through the active distribution system structure, based on the decoupled PCC, a model is constructed for large-scale distributed optimal dispatching. Finally, two scenario experiments are taken as examples to simulate and analyze the distributed co-dispatch of the new distribution system. The results show that the operation reward interval of scenario 2 is [194.43, 205.44] when the decomposition convergence criterion is set to 0.05 and the threshold value of the second-order cone relaxation accuracy is set to 10−5. The novel distribution system proposed in this paper is able to achieve optimal decision-making that satisfies the distribution network operation constraints, while the multi-microgrid seeks to maximize its benefits.

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The Role of Energy Storage with Renewable Electricity Generation

Cited by 11 publications

References 35 publications

Optimal allocation of distributed energy storage systems to enhance voltage stability and minimize total cost

Optimal allocation of distributed energy storage systems to enhance voltage stability and minimize total cost

Estimation of Energy Storage Requirements in an Independent Power System from an Energy Perspective

Exploration and application of new distribution system technology for large-scale distributed distribution network digital service access

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