A review on microgrid central controller

Kaur, Amandeep; Kaushal, Jitender; Basak, Prasenjit

doi:10.1016/j.rser.2015.10.141

Cited by 218 publications

(89 citation statements)

References 52 publications

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“…Note from Figure 8 that there is a ramp function expressed by Equation (20) can be expressed by Equation (21). In (20) and (21), the variable "t" represents the time, while "k" represents the index of the last calculated sample of the power reference.…”

Section: Battery Management Algorithmmentioning

confidence: 99%

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Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

et al. 2018

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This study is focused on two areas: the design of a Battery Energy Storage System (BESS) for a grid-connected DC Microgrid and the power management of that microgrid. The power management is performed by a Microgrid Central Controller (MGCC). A Microgrid operator provides daily information to the MGCC about the photovoltaic generation profile, the load demand profile, and the real-time prices of the electricity in order to plan the power interchange between the BESS and the main grid, establishing the desired state of charge (SOC) of the batteries at any time. The main goals of the power management strategy under study are to minimize the cost of the electricity that is imported from the grid and to maximize battery life by means of an adequate charging procedure, which sets the charging rate as a function of the MG state. Experimental and simulation results in many realistic scenarios demonstrate that the proposed methodology achieves a proper power management of the DC microgrid.

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Section: Battery Management Algorithmmentioning

confidence: 99%

“…The power imbalance is a common scenario in MGs, being caused by the discontinuity in the energy generation or by the changes in the power demand. Nowadays, adequate strategies have been developed to manage the power dispatch in the MGs, which can be: centralized, decentralized or distributed [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

et al. 2018

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“…Figure 1 depicts the microgrid system configuration [15]. The first dashed box in Figure 1 includes the circuit breakers, which are used to disconnect the correspondent feeder and associated unit.…”

Section: System Configurationmentioning

confidence: 99%

“…On the one hand, if the power is below 0.75 p.u., the reference speed ω re f can be obtained by measured electric power following (15). On the other hand, if the power is above 0.75 p.u., the reference speed is 1.2 p.u.…”

Section: Varaible-speed Wind Turbine Generator Modelmentioning

confidence: 99%

Improved Linear Active Disturbance Rejection Control for Microgrid Frequency Regulation

Bai

2017

Energies

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Abstract:The frequency regulation has become one of the major subjects in microgrid power system due to the complexity structure of microgrid. In order to solve this problem, this paper proposes an improved linear active disturbance rejection control algorithm (ILADRC) that can significantly improve system performances through changing feedback control law to reduce the disturbance estimation error of extended state observer. Then, the proposed algorithm is employed in microgrid power system frequency regulation problem, which demonstrates its effectiveness. The parameters of controllers are optimized by particle swarm optimization (PSO) algorithm improved by genetic algorithm (GA). Simulations with different disturbances including sudden and stochastic change of load demand and wind turbine generation are carried out in comparison with previous studies. And robustness testing based on Monte-Carlo approach also shows better performance. So frequency stability of microgrid power system can be well guaranteed by proposed control algorithm.

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“…1, is controlled by the microgrid central controller (MGCC) or the energy management system (EMS). A basic MG structure integrates RES [9,10], traditional generators, loads and energy storage systems (ESS) [11,12], thus forming a more flexible, self-sufficient and environmental friendly system than the individual DG units [13]. The RES, such as wind turbines or photovoltaic, through local controllers to send energy to the grid or communicate with the MGCC and energy management system (EMS).…”

Section: Introductionmentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

366

182

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Abstract-The increasing integration of the distributed renewable energy sources highlights the requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). The multi-agent system (MAS)-based distributed coordinated control strategies shows the benefits to balance the power and energy, stabilize voltage and frequency, achieve economic and coordinated operation among the MGs and MGCs. However, the complex and diverse combinations of distributed generations in multi-agent system increase the complexity of system control and operation. In order to design the optimized configuration and control strategy using MAS, the topology models and mathematic models such as the graph topology model, non-cooperative game model, the genetic algorithm and particle swarm optimization algorithm are summarized. The merits and drawbacks of these control methods are compared. Moreover, since the consensus is a vital problem in the complex dynamical systems, the distributed MAS-based consensus protocols are systematically reviewed. NOMENCLATURE

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A review on microgrid central controller

Cited by 218 publications

References 52 publications

Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

Improved Linear Active Disturbance Rejection Control for Microgrid Frequency Regulation

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

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