Robust Control and Optimal Operation of Multiple Microgrids with Configurable Interconnections

Herrera, Maximiliano Lainfiesta; Subramanyam, Sreelatha Aihloor; Zhang, Xuewei

doi:10.1109/greentech.2019.8767153

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…In the case of an extreme event, the DR agent determines the level of curtailment of the price-sensitive controllable loads. Three objective functions are considered for the DR agent, as shown in ( 10)- (12). The first objective, (10), is to minimize the customer discomfort cost, expressed as a quadratic nonlinear function of the curtailed power, to show the exponential increase in the customers discomfort with increasing load curtailment.…”

Section: Dr Agentmentioning

confidence: 99%

“…The scheduling method encourages the MGs to share power rather than importing power from the main utility. A robust power flow control strategy between multiple interconnected MGs is presented in [12] with a focus on frequency stabilization. A bi-level power management scheme is proposed in [13], where the energy trading (upper layer) is formed as a mixed integer quadratic programming and the MG energy production (lower layer) is formed as a robust optimization model.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Agent-Based Power Management Scheme for Smart Multiple-Microgrid Distribution Systems

et al. 2022

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In this work, a novel agent-based day-ahead power management scheme is proposed for multiple-microgrid distribution systems with the intent of reducing operational costs and improving system resilience. The proposed power sharing algorithm executes within each microgrid (MG) locally, and the neighboring MGs cooperate via a multi-agent system cooperation scheme, established to model the communication among the agents. The power management for each agent is modeled as a multi-objective optimization problem (MOP) including two objectives: maximizing load coverage and minimizing the operating costs. The proposed MOP is solved using the Nondominated Sorting Genetic Algorithm (NSGA-II), where a set of Pareto optimal solutions is obtained for each agent through the NSGA-II. The final solution is obtained using an Analytical Hierarchical Process. The effectiveness of the proposed scheme is evaluated using a benchmark 4-MG distribution system. It is shown that the proposed power management scheme and the cooperation of agents lead to a higher overall system resilience and lower operation costs during extreme events.

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Section: Dr Agentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Agent-Based Power Management Scheme for Smart Multiple-Microgrid Distribution Systems

et al. 2022

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“…This practice can lead to a lack of damping performance in a volatile operation condition. A passive robust controller was proposed in Reference [23], but the selection of controller parameters was complex. An active damping control method applied in Reference [24] to suppress DC side oscillations.…”

Section: Introductionmentioning

confidence: 99%

Investigation and Control of Damping in VSC–MTDC System with DC Circuit Breakers

Gao

Zhou

et al. 2021

Symmetry

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DC circuit breaker (DCCB) systems with a DC reactor in series are normally equipped in the voltage-sourced-converter-based multi-terminal DC (VSC–MTDC) systems for DC fault clearance. However, it is revealed that the use of DC reactors could undermine the system damping and deteriorate the system stability. In this paper, a controller based on hybrid sensitivity is proposed to improve the stability of power system and realize the power symmetry of multi-terminal systems. Firstly, based on a generalized MTDC small-signal model, an eigenvalue analysis is performed to provide deep insight into the stability issue imposed by DC reactors. Furthermore, a local controller based on hybrid sensitivity was proposed, and on this basis, a global controller was designed to solve asymmetrical power flow. Finally, a four-terminal VSC–MTDC model was built in Simulink to evaluate the performance of DC-PSS. Simulation results verify the effectiveness of the proposed controller in stabilizing MTDC systems and symmetrizing of power flow.

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“…J. Mírez [9] proposed two DC microgrids interconnection which are associated with generations, loads and storage devices also the Central controller has been designed for communicating with other microgrids in the same network. M. L. Herrera et.al [10] proposed the possible interconnection configurations with two microgrids were along with control schemes, cost optimization schemes. This manages the power flow in the system considered.…”

Section: Introductionmentioning

confidence: 99%

ANN based Day-Ahead Load Demand Forecasting for Energy Transactions at Urban Community Level with Interoperable Green Microgrids

Rao

Padma

2021

IJRER

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Microgrids are formed with the rapid penetration of renewable energy sources (RES) into the distribution grid (DG) network, which increases the complexity of DG system and at the same time the conventional grid is getting overloaded due to the urbanization. So, to reduce the stress on the utility grid and for safe and reliable operation of microgrid (MG), it is necessary to develop proper Energy Management System (EMS) with adequate real time control. With this motivation in this paper Artificial Neural Network (ANN) is used along with EMS in the proposed microgrid cluster for making energy transactions based on the availability of localized green energy sources. Energy management system uses day-ahead load demand forecasted by ANN for scheduling the energy sources and managing the energy transactions between the proposed system and utility grid during surplus/shortage power conditions. The cluster is formed by interconnecting two interoperable areas and each area associated with two microgrids. The proposed system with ANN in this paper is modeled and implemented in MATLAB software with Simulink and NN tool box. The simulated test results showed the accuracy of ANN for forecasting day-ahead load demand of the proposed system when compared with Linear Regression (LR).

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Robust Control and Optimal Operation of Multiple Microgrids with Configurable Interconnections

Cited by 13 publications

References 6 publications

A Novel Agent-Based Power Management Scheme for Smart Multiple-Microgrid Distribution Systems

A Novel Agent-Based Power Management Scheme for Smart Multiple-Microgrid Distribution Systems

Investigation and Control of Damping in VSC–MTDC System with DC Circuit Breakers

ANN based Day-Ahead Load Demand Forecasting for Energy Transactions at Urban Community Level with Interoperable Green Microgrids

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