Dynamic Modeling of Sequential Service Restoration in Islanded Single Master Microgrids

Bassey, Ogbonnaya; Butler‐Purry, Karen L.; Chen, Bo

doi:10.1109/tpwrs.2019.2929268

Cited by 39 publications

(30 citation statements)

References 36 publications

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“…After passing the transient state, the electromagnetic torque reaches 50 Nm approximately. Unlike other papers that dealing with the dynamic modelling of microgrid (Bani-Ahmed, Rashidi, & Nasiri, 2019;Bassey, Butler-Purry, & Chen, 2019;Bracco & Delfino, 2017;Juneja, Nagar, & Mohanty, 2019;Macana, Mojica-Nava, Pota, Guerrero, & Vasquez, 2019;Magdy, Mohamed, Shabib, Elbaset, & Mitani, 2018;Shuai, Peng, Guerrero, Li, & Shen, 2018), this paper explores the dynamic response of induction motors, completely.…”

Section: Normal Conditionsmentioning

confidence: 99%

Mathematical modeling of islanded microgrid with static and dynamic loads

Ahmadi

Shafiee

Bevrani

2021

Nexo Revista Científica

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Increasing the penetration level of distributed generation units as well as power electronic devices adds more complexity and variability to the dynamic behavior of the microgrids. For such systems, studying the transient modelling and stability is essential. One of the major disadvantages of most studies on microgrid modelling is their excessive attention to the steady state period and the lack of attention to microgrid performance during the transient period. In most of the research works, the behavior of different microgrid loads has not been studied. One of the mechanisms of power systems stability studies is the application of state space modelling. These studies include the development of state space models of various components of the power system and then linearizing them around an equilibrium point. In this paper, a comprehensive method for modelling of islanded microgrid with dynamic and static loads is presented. The basic step of the proposed method is transformation to a dq0-based model. In order to find a complete and accurate model of islanded inverter-based microgrid, the sub-modules of generation, network and load must be modelled in local dq reference and then transferred to a common reference. The simulation results show the effectiveness of the proposed modelling approach for transient stability studies.

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Section: Normal Conditionsmentioning

confidence: 99%

Mathematical modeling of islanded microgrid with static and dynamic loads

Ahmadi

Shafiee

Bevrani

2021

Nexo Revista Científica

View full text Add to dashboard Cite

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“…The predominant AC consumption in residential and industrial applications has highlighted the VSI technology with improvements year after year. Main objectives and trends in the massive introductions of IBMGs consider the following aspects [1,65,66 The optimal solution of two or more conflicting objectives will not lead to a single solution instead, an optimal solution set with a trade-off of objectives looks for IBMG optimization. If an objective has value in IBMG performance, this aspect can be quantified as a mathematical function.…”

Section: Multi-objective Functions Approach On Ibmgmentioning

confidence: 99%

“…A methodology for restoration sequences in distribution MG was addressed by [66]. The study studied the island mode case where a common issue of unbalanced load was compensated by controlled PQ inverters.…”

Section: Multi-objective Proposals and Optimizationmentioning

confidence: 99%

Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids

et al. 2020

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Microgrids have emerged as a solution to address new challenges in power systems with the integration of distributed energy resources (DER). Inverter-based microgrids (IBMG) need to implement proper control systems to avoid stability and reliability issues. Thus, several researchers have introduced multi-objective control strategies for distributed generation on IBMG. This paper presents a review of the different approaches that have been proposed by several authors of multi-objective control. This work describes the main features of the inverter as a key component of microgrids. Details related to accomplishing efficient generation from a control systems’ view have been observed. This study addresses the potential of multi-objective control to overcome conflicting objectives with balanced results. Finally, this paper shows future trends in control objectives and discussion of the different multi-objective approaches.

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“…` e related businesses of power companies in different scenarios are gradually increasing, and some businesses have changed from offline services to various online remote services [1,2]. However, both offline service and remote service will waste power business resources [3], such as the shortage of customer service personnel and the difference of business capacity [4], which will directly affect the service level.…”

Section: Introductionmentioning

confidence: 99%

Design of Intelligent Customer Service Questioning and Answering a System for Power Business Scenario Based on AI Technology

2022

Mathematical Problems in Engineering

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In order to solve the problems of large demand for power business and small number of customer service, an intelligent customer service questioning and answering a system for power business scenario based on AI technology is designed. The approach first uses the particle swarm optimization algorithm to automatically classify the question attributes and then uses the fuzzy c-means clustering algorithm to match the answers with the highest similarity to the questions and return to the customers. The system collects the questions raised by customers through the acquisition module, uploads the question work order to the knowledge base through the information assistance module, and stores the preprocessed questions to the knowledge base. After completing the problem attribute classification through the particle swarm clustering algorithm classification model in the batch analysis and calculation module, the question answers are matched through fuzzy c-means clustering. At the same time, the similarity of different keywords is calculated to find a series of related questions. After the obtained data are analyzed in real time through the self-service customer service module, the answer is extracted and fed back to the customer, and the question answer is presented to the customer in the system interface. The experimental results show that the designed system has low worst-case time complexity, which is up to 0.35 only. The reason is that the system in this paper can use priority information to deal with the problems raised by customers, which is different from the past work where dealing with customers request via priority information is not used. The system can give the corresponding answers according to the customer’s options. It has convenient operation, high integrated control ability, and good information management performance. Compared with the traditional approach which could waste a lot of resource and data, the proposed approach can reduce the differences between problem data, eliminate invalid data, and simplify the data classification process. The application of the system can effectively accelerate the information transmission efficiency of the power company and can be used for power exchange platform automation in the future.

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Dynamic Modeling of Sequential Service Restoration in Islanded Single Master Microgrids

Cited by 39 publications

References 36 publications

Mathematical modeling of islanded microgrid with static and dynamic loads

Mathematical modeling of islanded microgrid with static and dynamic loads

Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids

Design of Intelligent Customer Service Questioning and Answering a System for Power Business Scenario Based on AI Technology

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