A multi-objective bi-level optimization framework for dynamic maintenance planning of active distribution networks in the presence of energy storage systems

Matin, Seyed Alireza Alavi; Mansouri, Seyed Amir; Bayat, Mohammad; Jordehi, Ahmad Rezaee; Radmehr, Pouria

doi:10.1016/j.est.2022.104762

Cited by 40 publications

(10 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, due to the complexity and huge scale of the power system, the equipment and facilities of the main network will have failures and losses in the long-term operation, which requires regular maintenance and repair. Reference [6] puts forward a multi-objective two-level optimization framework for dynamic maintenance planning of active distribution network under energy storage system. In the first layer, microgrid executes maintenance plan and reports its results to DSO.…”

Section: Introductionmentioning

confidence: 99%

Research on optimization strategy of main network maintenance scheduling based on regional power demand

Huang,

Luo,

Chen

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

In order to regulate and control the operation state of the main network efficiently and stably, this paper puts forward the research on the optimization strategy of the main network maintenance scheduling based on the regional power demand. According to the three time scales of day before, rolling in the day and real-time, the main network is divided into three time periods for optimal scheduling, and an optimization framework of main network scheduling under regional power demand is constructed. On this basis, the operation data of the main network are normalized, and the maintenance scheduling optimization process of the main network is constructed to realize the maintenance scheduling optimization of the main network. The experimental results show that after optimization, the comprehensive risk index of each test equipment is obviously improved, and the optimization strategy of main network maintenance scheduling has good results.

show abstract

Section: Introductionmentioning

confidence: 99%

Research on optimization strategy of main network maintenance scheduling based on regional power demand

Huang,

Luo,

Chen

et al. 2024

Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023)

View full text Add to dashboard Cite

show abstract

“…Proposed the big data platform architecture and business application architecture. Based on the analysis of the relationship between big data, cloud computing, and smart grid, the literature [9] provides the overall architecture of a universal power big data platform. Literature [10] uses clustering methods to analyze FFT processed data, and introduces a big data clustering analysis method based on K-Medoids algorithm.…”

Section: Introductionmentioning

confidence: 99%

Status of power equipment in 10kV distribution network based on digital twin technology

Zhang,

Jiang,

Wang

2023

Second International Conference on Electronic Information Technology (EIT 2023)

View full text Add to dashboard Cite

In order to reduce the response time and missed detection rate of 10kV distribution network power equipment operation status monitoring, a method for 10kV distribution network power equipment operation status monitoring based on digital twinning technology is proposed. Collecting and processing power equipment operation status signals using wireless sensors; Using digital twinning technology, virtual and real mapping is performed on the operation status of power equipment, and a twinning model for the operation status of power equipment is constructed; Using association rules to extract equipment operation status characteristics, the operation status monitoring of power equipment in the 10kV distribution network is realized. The experimental results show that the design method has a short monitoring response time and a low rate of missed detection, and has a good monitoring effect on the operating status of equipment.

show abstract

“…Frequency regulation can be performed by designing a controller for nonstorage-based devices or using storage-based controllers. Many efforts have been made in this regard [12,13]. However, providing controllers with more accurate responses can increase system performance against external disturbances.…”

Section: Introduction 11 Motivationmentioning

confidence: 99%

Load frequency fractional‐order controller design for shipboard microgrids using direct search alghorithm

Bahrampour

Dehghani

Asemani

et al. 2022

IET Renewable Power Gen

View full text Add to dashboard Cite

Load frequency control (LFC) is one of the controversial topics in power systems, especially in shipboard microgrids (SMG). In such applications, renewable energies such as wind, solar, or wave energies provide the power supply. However, changes in the weather conditions or loads can disrupt the frequency. To have a constant frequency in the presence of such turbulence in SMG, a fractional‐order dynamic output feedback controller (FDOFC) is proposed. As a result, the closed‐loop system is extended to a non‐identical fractional‐order system in the state space model. First, the non‐identical fractional‐order system is transformed into an identical one using the least common multiple techniques to determine control parameters. Subsequently, using a direct search algorithm, a considered initial design space is divided into smaller totally stable (TS) sub‐spaces. Then, among all TS controller parameters, the H∞$H_{\infty }$ controller is designed to reduce the effects of disturbances. The study is carried out on a practical SMG system to show the practicality of the proposed FDOFC. Finally, to evaluate the proposed method's efficiency, the SMG results are compared with the results obtained with μ synthesis, H∞$H_{\infty }$, Bilinear Matrix Inequality (BMI)‐based, and fuzzy fractional optimization methods. Compared to the state‐of‐the‐art approaches, more promising results are obtained for H∞$H_{\infty }$‐norm of the closed‐loop system about ten times smaller, that is, false|false|normalΔffalse|false|∞=0.00026$||\Delta f||_\infty = 0.00026$ which is such a negligible norm that concludes perfect disturbance rejection. Moreover, in more scenarios, the robustness of the designed framework is evaluated under parameter variations and time delays in communication. The results show that the maximum frequency deviation is 2.5×10−3$2.5 \times 10^{-3}$, which is very small. Therefore, the controller also works impressively under deviations of SMG system parameters, and communication time delays.

show abstract

A multi-objective bi-level optimization framework for dynamic maintenance planning of active distribution networks in the presence of energy storage systems

Cited by 40 publications

References 36 publications

Research on optimization strategy of main network maintenance scheduling based on regional power demand

Research on optimization strategy of main network maintenance scheduling based on regional power demand

Status of power equipment in 10kV distribution network based on digital twin technology

Load frequency fractional‐order controller design for shipboard microgrids using direct search alghorithm

Contact Info

Product

Resources

About