The influence of multi-level energy storage on the access of distributed renewable energy

Wang, Shijie; Gao, Shiqiao; Niu, Xinyan; Chen, Jizhong

doi:10.1109/acpee48638.2020.9136217

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…These strategies should also use the latest technologies, such as smart devices/equipment that can process the data and help to identify the optimal solution [8]. The advanced technologies integrated into some equipment represented by automatic voltage regulators [9,10], energy storage systems [11,12], capacitor banks [13,14], or load balancing devices [15,16], but in a small percentage, especially in the pilot networks, can be observed in the LV EDSs. However, before they can be implemented widely and in correlation with each other, the DNOs should thoroughly analyse the cost-benefit of these technologies.…”

Section: Motivationmentioning

confidence: 99%

Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks

Dandea¹,

Grigoraș²

2023

Preprint

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Nowadays, in low voltage (LV) electric distribution networks (EDNs), the Distribution Network Operators (DNOs) are encountering a high number of connected small-scale distributed generation units, mainly photovoltaic (PV) prosumers. The irregular behavior of the prosumers, together with the uncertainty degree of the requested and injected powers associated with all end-users from the LV EDN, can cause voltage variations with violations of the allowable limits. In this context, the paper developed an efficient and resilient expert system integrating the rule-based reasoning applied to the On-load Tap Changer (OLTC)-fitted transformer to improve the efficiency of the voltage control in the PV-rich LV EDNs. An in-depth analysis based on 75 scenarios, resulting from the combinations of three indicators: the penetration degree of the PV prosumers, consumption evolution associated with the consumers, and energy production of the PV systems, has been performed to demonstrate the efficiency of the proposed expert system in an LV EDN from a rural area belonging to a Romanian DNO. The success rate of the expert system has been 86.7% (65 out of 75 scenarios didn't have voltage issues, all values being between the allowable limits in 100% of the time slots associated with the analyzed period). For the other scenarios (representing 13.3%), the values have been inside the range [-10%, +10%] at least 95% of the time slots, according to the European Power Quality Standard, and for the rest of the time slots up to 100% being very close to the upper and lower limits of the range, with highly mitigating of the voltage variations.

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Section: Motivationmentioning

confidence: 99%

Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks

Dandea¹,

Grigoraș²

2023

Preprint

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“…Developing new strategies will require more advanced voltage control technologies, including smart devices/equipment that can process the data and help to identify the optimal solution [8]. The advanced voltage control technologies, integrated especially in the pilot LVEDNs, are represented by automatic voltage regulators [9,10], energy storage systems [11,12], capacitor banks [13,14], or load balancing devices [15,16]. However, before they can be implemented widely and correlated with each other, DNOs should do a cost-benefit analysis.…”

Section: Introduction 1motivationmentioning

confidence: 99%

Expert System Integrating Rule-Based Reasoning to Voltage Control in Photovoltaic-Systems-Rich Low Voltage Electric Distribution Networks: A Review and Results of a Case Study

Dandea

Grigoraș

2023

Applied Sciences

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Nowadays, in low voltage electric distribution networks, the distribution network operators are encountering a high number of connected small-scale distributed generation units, mainly photovoltaic prosumers. The intermittent nature of the prosumers, together with the degree of uncertainty of the requested and injected powers associated with all end-users from low voltage electric distribution networks, can cause voltage variations that violate the allowable limits. In this context, this paper developed an efficient and resilient expert system integrating rule-based reasoning applied to the on-load tap changer-fitted transformer to improve the efficiency of the voltage control in the PV-rich LV EDNs. An in-depth analysis based on 75 scenarios, resulting from the combinations of three indicators—the penetration degree of the photovoltaic prosumers, the consumption evolution associated with the consumers, and the energy production of the photovoltaic systems—was performed to demonstrate the efficiency of the proposed expert system in a low voltage electric distribution network from a rural area belonging to a Romanian distribution network operator. The success rate of the expert system was 86.7% (65 out of 75 scenarios did not have voltage issues). All voltages were between the allowable limits in 100% of the time slots associated with the analysed period. For the other scenarios (representing 13.3%), voltages were inside the range [−10%, +10%] in at least 95% of the time slots.

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Research on Monitoring Strategy of New Energy Vehicle Power System Based on the Internet of Things

Wang¹

2022

2022 2nd International Signal Processing, Communications and Engineering Management Conference (ISPCEM)

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The influence of multi-level energy storage on the access of distributed renewable energy

Cited by 4 publications

References 4 publications

Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks

Expert System Integrating Rule-Based Reasoning to Voltage Control in PV-Rich Low Voltage Electric Distribution Networks

Expert System Integrating Rule-Based Reasoning to Voltage Control in Photovoltaic-Systems-Rich Low Voltage Electric Distribution Networks: A Review and Results of a Case Study

Research on Monitoring Strategy of New Energy Vehicle Power System Based on the Internet of Things

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