Integrated Power Hardware-in-the-Loop and Lab Testing for Microgrid Controller

Kikusato, Hiroshi; Ustun, Taha Selim; Suzuki, Masaichi; Sugahara, Shuichi; Hashimoto, Jun; Otani, Kenji; Shirakawa, Kenji; Yabuki, Rina; Watanabe, Ken; Shimizu, Tatsuaki

doi:10.1109/isgt-asia.2019.8881576

Cited by 8 publications

(13 citation statements)

References 5 publications

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“…At t = 1.6 s, load is reduced from 150 to 70 kW. Figure 3a,b show results with and without the EMS controller, respectively [11]. It can be observed that frequency swing without the EMS controller is much larger than that of with EMS controller.…”

Section: Function 2: Frequency Control Testsmentioning

confidence: 97%

“…In this paper, a microgrid EMS controller for an off-grid island located in Southeast Asia is considered [11]. In this scenario, ample solar potential is envisioned.…”

Section: Microgrid Ems Operation Principlesmentioning

confidence: 99%

“…The energy management system (EMS) needs to follow the load profile in a microgrid, estimate generation profile of the generators, and keep the battery charge at an appropriate level [10]. In addition, EMS is responsible for responding to system disturbances, such as generator loss or frequency deviation, to ensure the operation is as smooth as possible [11].All these capabilities need to be integrated over a standard communication infrastructure for interoperability between different equipment. These are required to monitor the current status of the power network and to notify new operating conditions from EMS.…”

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confidence: 99%

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confidence: 99%

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Secure Communication Modeling for Microgrid Energy Management System: Development and Application

Ustun¹,

Hussain²

2019

Energies

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As the number of active components increase, distribution networks become harder to control. Microgrids are proposed to divide large networks into smaller, more manageable portions. The benefits of using microgrids are multiple; the cost of installation is significantly smaller and renewable energy-based generators can be utilized at a small scale. Due to the intermittent and time dependent nature of renewables, to ensure reliable and continuous supply of energy, it is imperative to create a system that has several generators and storage systems. The way to achieve this is through an energy management system (EMS) that can coordinate all these generators with a storage system. Prior to on-site installation, validation studies should be performed on such controllers. This work presents a standardized communication modeling based on IEC 61850 that is developed for a commercial microgrid controller. Using commercial software, different terminals are set up as intelligent electronic devices (IEDs) and the operation of the EMS is emulated with proper message exchanges. Considering that these messages transmit sensitive information, such as financial transactions or dispatch instructions, securing them against cyber-attacks is very important. Therefore; message integrity, node authentication, and confidentiality features are also implemented according to IEC 62351 guidelines. Real-message exchanges are captured with and without these security features to validate secure operation of standard communication solution.Energies 2020, 13, 68 2 of 14 time-dependent generation profile of these systems require storage systems and coordination to supply reliable energy [8].To address this gap, equipment that can track several generators and the load within a microgrid to coordinate charging and discharging of a battery energy storage system (BESS) has been developed [9]. The energy management system (EMS) needs to follow the load profile in a microgrid, estimate generation profile of the generators, and keep the battery charge at an appropriate level [10]. In addition, EMS is responsible for responding to system disturbances, such as generator loss or frequency deviation, to ensure the operation is as smooth as possible [11].All these capabilities need to be integrated over a standard communication infrastructure for interoperability between different equipment. These are required to monitor the current status of the power network and to notify new operating conditions from EMS. There are many EMS algorithms in the literature [12][13][14][15]. However, these works only focus on the development and solution of an optimization equation. There is no detail about how such dispatch information is relayed. For instance, an EMS algorithm may be run, and as a result, storage needs to start discharging [16]. How this information will be sent from the EMS controller to the storage device is not discussed. It is assumed that there is a reliable and functioning communication solution that will enable transmission of such messages. There is ...

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Section: Function 2: Frequency Control Testsmentioning

confidence: 97%

“…In this paper, a microgrid EMS controller for an off-grid island located in Southeast Asia is considered [11]. In this scenario, ample solar potential is envisioned.…”

Section: Microgrid Ems Operation Principlesmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Secure Communication Modeling for Microgrid Energy Management System: Development and Application

Ustun¹,

Hussain²

2019

Energies

Self Cite

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“…Since the control system parts of these labs are built by the flexible modeling tools, it is supposed that they have advantages in the stage of developing microgrid control algorithms. They still have potential to improve the flexibility in terms of power system configurations by integrating with the digital real-time simulation (DRTS) [13].…”

Section: Introductionmentioning

confidence: 99%

Microgrid Controller Testing Using Power Hardware-in-the-Loop

Kikusato¹,

Ustun²,

Suzuki³

et al. 2020

Energies

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Required functions of a microgrid become divers because there are many possible configurations that depend on the location. In order to effectively implement the microgrid system, which consists of a microgrid controller and components with distributed energy resources (DERs), thorough tests should be run to validate controller operation for possible operating conditions. Power-hardware-in-the-loop (PHIL) simulation is a validation method that allows different configurations and yields reliable results. However, PHIL configuration for testing the microgrid controller that can evaluate the communication between a microgrid controller and components as well as the power interaction among microgrid components has not been discussed. Additionally, the difference of the power rating of microgrid components between the deployment site and the test lab needs to be adjusted. In this paper, we configured the PHIL environment, which integrates various equipment in the laboratory with a digital real-time simulation (DRTS), to address these two issues of microgrid controller testing. The test in the configured PHIL environment validated two main functions of the microgrid controller, which supports the diesel generator set operations by controlling the DER, regarding single function and simultaneously activated multiple functions.

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Hardware-in-the-Loop Experimental Validation for a Lab-Scale Microgrid Targeted by Cyberattacks

Naderi

Asrari

2021

2021 9th International Conference on Smart Grid (icSmartGrid)

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Integrated Power Hardware-in-the-Loop and Lab Testing for Microgrid Controller

Cited by 8 publications

References 5 publications

Secure Communication Modeling for Microgrid Energy Management System: Development and Application

Secure Communication Modeling for Microgrid Energy Management System: Development and Application

Microgrid Controller Testing Using Power Hardware-in-the-Loop

Hardware-in-the-Loop Experimental Validation for a Lab-Scale Microgrid Targeted by Cyberattacks

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