Skip to content
Free planNo credit card requiredStart writing
AI for Research home
AI for Research home
Dashboard
Sign inGet started

Search 250 million research papers

Read the abstract, see who wrote it and who cites it, and get the citation in APA, MLA, Chicago or Harvard.

About 446 papers for “microgrid clusters”

Modular power architectures for microgrid clusters

Hengwei Lin, Chengxi Liu, Josep M. Guerrero et al. · VBN Forskningsportal (Aalborg Universitet) · 2014

One of the most important elements in microgrids is the configuration architecture which includes installed capacity, devices location, converter topologies, as well as system control and management strategies. Reliability, security and stability in microgrids require global communication systems in order to provide information for management, supervision, and protection purposes. In this paper, the main objective is to reveal the reasons leading to unreliability and insecurity in microgrids systems, and to propose a generic modular concept which is conceived from the viewpoint of a unified system. The user-frame concept proposed here when designing microgrids considers that the end-user is the basis for the geographical deployment. Meanwhile, a modular user-oriented approach is adopted in order to enhance reliability and expansibility. Finally, a unified dispatching and hierarchical management approach is proposed and evaluated to effectively optimize and manage modular microgrid architectures.

Cited by 10Open access

Optimal Coupling of Multiple Microgrid Clusters

Md Asaduzzaman Shoeb, Farhad Shahnia, GM Shafiullah · 2019

Large remote areas may consist of multiple microgrids (MG), each owned and operated by a different owner (operator) in standalone mode. However, they can be coupled provisionally to support each other during overloading or excessive generation by renewables. This paper proposes a technique to maintain the voltage and frequency (VF) of each MG within the desired range in such situations. To this end, a multilevel optimization approach is utilized that determines the most suitable actions to recover the troubled MG. At first, the proposed technique utilizes the local resources of an MG, such as adjusting the generation levels of the dispatchable sources, charging or discharging of existing battery energy storages, and determining the best configuration for the microgrid's network. It then proceeds to determine the required support from neighboring healthy MGs if the local supports are not adequate. In that case, the proposed technique optimally selects the MGs (and level of support) to be coupled to support the troubled MG(s). In this regard, it considers the trading cost, reliability, emission and VF of the prospective coupled MG's network while forming an MG cluster. The performance of the developed technique is evaluated through numerical analyses in MATLAB.

Cited by 9

Optimal coupling of multiple microgrid clusters

Shoeb, M.A., Shahnia, F., Shafiullah, GM. · Murdoch Research Repository (Murdoch University) · 2019

Large remote areas may consist of multiple microgrids (MG), each owned and operated by a different owner (operator) in standalone mode. However, they can be coupled provisionally to support each other during overloading or excessive generation by renewables. This paper proposes a technique to maintain the voltage and frequency (VF) of each MG within the desired range in such situations. To this end, a multilevel optimization approach is utilized that determines the most suitable actions to recover the troubled MG. At first, the proposed technique utilizes the local resources of an MG, such as adjusting the generation levels of the dispatchable sources, charging or discharging of existing battery energy storages, and determining the best configuration for the microgrid's network. It then proceeds to determine the required support from neighboring healthy MGs if the local supports are not adequate. In that case, the proposed technique optimally selects the MGs (and level of support) to be coupled to support the troubled MG(s). In this regard, it considers the trading cost, reliability, emission and VF of the prospective coupled MG's network while forming an MG cluster. The performance of the developed technique is evaluated through numerical analyses in MATLAB.

Cited by 0

Voltage stability analysis of multi-microgrid clusters

L. Wang, L.-W. Chen, Yi‐Rou Liou et al. · IET conference proceedings. · 2024

This paper analyses the impact of microgrid clusters on the voltage stability of the IEEE 14-bus multi-machine power system. To simulate the realistic operation of microgrids, a hybrid renewable-energy system consisting primarily of wind and PV power generation is incorporated into the original microgrid architecture. The response of the grid's voltage stability is observed under N-0, N-1, and N-2 contingency. Static voltage stability analysis is performed by observing the system's load margin using P-V curves under different fault scenarios, determining whether the system is at risk of voltage collapse. The power flow distribution and line efficiencies are also examined. Furthermore, a voltage stability index is introduced to quantify the stability of each bus, providing a more intuitive understanding of the voltage-stability differences under different fault conditions. Regarding dynamic voltage-stability analysis, this paper conducts real-time simulations of the response of load buses under various fault scenarios. By comparing static and dynamic analyses, the voltage stability of the studied system can be observed from different perspectives.

Cited by 1

Voltage Stability Analysis of Multi-microgrid Clusters

Li Wang, Liwei Chen, Yuwei Liu · 2023

This paper aims to analyze the voltage stability of the multi-microgrid clusters (MMGCs) based on the IEEE 14-bus multi-machine power system. To simulate the realistic operation of microgrids (MGs), a hybrid renewable energy system (RES) consisting primarily of wind and solar power-generation systems is incorporated into the original MG architecture. The responses of the grid voltage stability are observed under contingency scenarios of N-0, N-1, and N-2. This paper performs a static voltage stability analysis by observing the system load margin using power-voltage curves under different contingency scenarios, determining whether the system is at risk of voltage collapse. The power-flow distributions and line efficiencies are also examined. Furthermore, the new line voltage stability Index (BVSI) and the Fast Voltage Stability Index (FVSI) are used to quantify the stability of each bus, providing a more intuitive understanding of the voltage stability differences under different contingencies.

Cited by 0

Recent and Future Research on Microgrid Clusters

Farhad Shahnia (11141777) · Figshare · 2021

Abstract: Electricity systems around the world are experiencing a radical transition as the consequence of replacing fossil fuels, used for electricity production, by sustainable and cleaner energies. The growing penetration of renewable energies requires smarter techniques capable of handling the uncertainties of these intermittent sources. Along with this change, traditionally centralized power systems are also converting into distributed self-sufficient systems, often referred to as microgrids, that can operate independently. This talk will focus on remote area microgrids as a hot research topic in Australia and Southeast Asia that have hundreds of remote and off-grid towns and communities ...

Cited by 0Open access

optimized Dispatch of Multi-energy Microgrid Clusters

Du Wei, Yunfan Shao, Xun Dou et al. · 2020

The joint scheduling of multi energy micro energy network group can effectively absorb the residual heat of electricity in each sub micro network through the characteristics of energy substitutability and multi-agent interaction. However, the complex relationship of multi energy interaction brings difficulties to joint scheduling. In order to minimize the operating cost of the system, this paper establishes a day ahead optimal scheduling model of multi energy micro grid group of cooling, heating and power considering the consumption of clean energy. Through thejoint scheduling of micro grid group, it can promote the consumption of residual heat in the sub micro grid. Finally, in an example, by optimizing the operation of a multi-functional microgrid group, the mechanism of joint scheduling of multifunctional microgrid group is analyzed, and the effectiveness of the optimization operation model proposed in this paper is verified.

Cited by 5

Distributed Tertiary Control of DC Microgrid Clusters

Seyedali Moayedi, Ali Davoudi · IEEE Transactions on Power Electronics · 2015

A distributed control method is proposed to handle power sharing among a cluster of dc microgrids. The hierarchical control structure of microgrids includes primary, secondary, and tertiary levels. While the load sharing among the sources within a dc microgrid is managed through primary and secondary controllers, a tertiary control level is required to provide the higher level load sharing among microgrids within a cluster. Power transfer between microgrids enables maximum utilization of renewable sources and suppresses stress and aging of the components, which improves its reliability and availability, reduces the maintenance costs, and expands the overall lifespan of the network. The proposed control mechanism uses a cooperative approach to adjust voltage set points for individual microgrids and, accordingly, navigate the power flow among them. Loading mismatch among neighbor microgrids is used in an updating policy to adjust voltage set point and mitigate such mismatches. While the voltage adjustment policy handles the load sharing among the microgrids within each cluster, at a lower level, each microgrid carries a communication network that is in contact with the secondary control system. It is this lower level network that propagates voltage set points across all sources within a microgrid. Load sharing and set point propagation are analytically studied for the higher and lower level controllers, respectively. Experimental studies on two cluster setups demonstrate excellent controller performance and validate its resiliency against converter failures and communication losses.

Cited by 301

Cooperative power management in DC microgrid clusters

Seyedali Moayedi, Ali Davoudi · 2015

A distributed control method is proposed to handle load sharing among dc microgrids. While microgrids manage the internal load sharing, a higher level controller is required to provide load sharing among microgrids within a cluster. Power transfer between microgrids enables maximum utilization of resources and suppresses stress and aging of the components, which improves the reliability and availability, reduces the maintenance costs, and expands the lifespan of the distribution network. The proposed control mechanism uses a cooperative approach to adjust voltage set point for each microgrid and, accordingly, navigate power flow among them. Loading mismatch among neighbor microgrids is used in an updating policy for voltage adjustment. In case of any mismatch, the controller tunes the voltage to mitigate the mismatch and, eventually, equalize the loading percentage of all neighbor microgrids. While the voltage adjustment policy plays among microgrids, at a lower level, each microgrid propagates the voltage set point across all of its sources. Load sharing performance is analytically studied for the proposed controller. Simulation studies are performed on a cluster of four microgrids, where an excellent performance is reported. Contingency studies are also performed to illustrate the resiliency of the proposed method against the loss of communication links, so long as the communication graph has a spanning tree.

Cited by 15

Operation and control strategy of coupled microgrid clusters

S.M. Ferdous · Murdoch Research Repository (Murdoch University) · 2021

A standalone remote area microgrid may frequently experience overloading due to lack of sufficient power generation or excessive renewable-based generation that can cause unacceptable voltage and frequency deviation. This can lead the microgrid to operate with less resiliency and reliability. Such problems are conventionally alleviated by load-shedding or renewable curtailment. Alternatively, autonomously operating microgrids in a geographical area can be provisionally connected to each other to facilitate power exchange for addressing the problems of overloading or overgeneration. The power exchange link among the microgrids can be of different types such as a three-phase ac, a single-phase ac, or a dc-link. Power electronic converters are required to interconnect such power exchange networks to the three-phase ac microgrids and control the power-sharing amongst them. Such arrangement is also essential to interconnect microgrid clusters to each other with proper isolation while maintaining autonomy if they are operating in different standards. In this thesis, the topologies, and structures of various forms of power exchange links are investigated and appropriate operation and control frameworks are established under which power exchange can take place properly. A decentralised control mechanism is employed to facilitate power-sharing without any data communication. The dynamic performance of the control mechanism for all the topologies is illustrated through simulation studies in PSIM® while the stability and robustness of the operation are evaluated using numerical studies in MATLAB®.

Cited by 0Open access

Electricity Market-Driven Bilevel Optimization for Microgrid Clusters

Bin Zhang, Meng Luan, H. W. Zhang · 2025

Within the global transition to sustainable energy systems, renewable energy technologies, particularly wind and photovoltaic generation, have emerged as critical components for achieving carbon peaking and neutrality targets. Nevertheless, the inherent stochastic variability of renewable energy generation combined with bidirectional power fluctuation patterns induced by time-varying load profiles introduces critical operational barriers to maintaining microgrid security and stability. To address this issue, this study designs a novel electricity market-driven bilevel optimization scheduling framework for microgrid clusters. At the upper layer, a virtual demand response (VDR) mechanism enabling day-ahead economic dispatch is proposed for each microgrid. At the lower layer, an electricity market-driven coordination scheme is established, incorporating a Shapley value-based cooperative bidding mechanism to optimize energy storage utilization for real-time power compensation. Finally, numerical simulations demonstrate that the cluster imbalance metric under the proposed framework can be reduced to near-zero levels, significantly decreasing the interaction volume between microgrids and distribution grids.

Cited by 0

Stochastic Distributed Control for Arbitrarily Connected Microgrid Clusters

Maryam Khanbaghi, A.I. Zečević · Energies · 2022

Due to the success of single microgrids, the coming years are likely to see a transformation of the current electric power system to a multiple microgrid network. Despite its obvious promise, however, this paradigm still faces many challenges, particularly when it comes to the control and coordination of energy exchanges between subsystems. In view of that, in this paper we propose an optimal stochastic control strategy in which microgrids are modeled as stochastic hybrid dynamic systems. The optimal control is based on the jump linear theory and is used as a means to maximize energy storage and the utilization of renewable energy sources in islanded microgrid clusters. Once the gain matrices are obtained, the concept of ε-suboptimality is applied to determine appropriate levels of power exchange between microgrids for any given interconnection pattern. It is shown that this approach can be efficiently applied to large-scale systems and guarantees their connective stability. Simulation results for a three microgrid cluster are provided as proof of concept.

Cited by 4Open access

Stochastic Distributed Control for Arbitrarily Connected Microgrid Clusters

Maryam Khanbaghi, Aleksandar Zecevic · RePEc: Research Papers in Economics

Due to the success of single microgrids, the coming years are likely to see a transformation of the current electric power system to a multiple microgrid network. Despite its obvious promise, however, this paradigm still faces many challenges, particularly when it comes to the control and coordination of energy exchanges between subsystems. In view of that, in this paper we propose an optimal stochastic control strategy in which microgrids are modeled as stochastic hybrid dynamic systems. The optimal control is based on the jump linear theory and is used as a means to maximize energy storage and the utilization of renewable energy sources in islanded microgrid clusters. Once the gain matrices are obtained, the concept of ε -suboptimality is applied to determine appropriate levels of power exchange between microgrids for any given interconnection pattern. It is shown that this approach can be efficiently applied to large-scale systems and guarantees their connective stability. Simulation results for a three microgrid cluster are provided as proof of concept.

Cited by 0

Fault detection and classification in DC microgrid clusters

Prateem Pan, Rajib Kumar Mandal · Engineering Research Express · 2023

Abstract With the rising popularity of DC microgrids, clusters of such grids are beginning to emerge as a practical and economical option. Short circuit problems in a DC microgrid clusters can cause overcurrent damage to power electronic devices. Protecting DC lines from large fault currents is essential. This paper presents a novel localized fault detection and classification technique for the protection of DC microgrid clusters. In this paper, a variational mode decomposition (VMD) and artificial neural network (ANN) based technique is proposed for accurate and effective fault detection and classification. This research aims to train an ANN that can detect and classify faults in DC microgrid clusters with multiple sources and loads by applying VMD to extract features of current signals. Different types of short circuit faults such as Pole to Pole and Pole to ground faults are considered under various grid operating conditions. The proposed method is capable of real-time fault detection and diagnosis, which can help prevent system failures and minimize downtime. The results indicate that the proposed approach is efficient and effective in detecting/classifying faults in DC microgrid clusters improving the reliability and system safety. The performance evaluation is carried out through rigorous case studies in MATLAB/Simulink environment to prove the efficacy of the proposed method. The VMD-ANN approach is shown to outperform other traditional signal processing techniques in terms of accuracy and robustness. Moreover, the proposed method is applicable to a wide range of DC microgrid clusters, making it a versatile and valuable tool for future research and development.

Cited by 9Open access