Real‐time distributed economic dispatch scheme of grid‐connected microgrid considering cyberattacks

Huang, Chongxin; Wang, Jing; Deng, Song; Yue, Dong

doi:10.1049/iet-rpg.2019.1355

Cited by 9 publications

(6 citation statements)

References 46 publications

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“…Two common methods to address the uncertainty problem are scenario-based stochastic optimization and robust optimization [21][22][23][24][25][26][27][28][29]. Stochastic optimization generates a number of scenarios to model the uncertainty.…”

Section: Operations and Controls Of Microgrids And Networked Microgridsmentioning

confidence: 99%

“…On the other hand, robust optimization only requires the deterministic uncertainty set. Most studies on robust optimization of power system applications are based on a two-stage optimization model [21][22][23][24][27][28][29]. Reference [21] proposes a non-conservative robust security-constrained unit commitment model and a novel decomposition approach to address the computational burdens.…”

Section: Operations and Controls Of Microgrids And Networked Microgridsmentioning

confidence: 99%

“…Reference [27] proposes a hierarchical two‐stage robust optimization dispatch model for multiple combined cooling, heating, and power MGs considering the uncertainties of RES, transmission line failure, and electricity price. Reference [28] proposes a real‐time distributed economic dispatch scheme for the grid‐connected microgrid against cyber‐attacks. Reference [29] proposes a novel resilience‐directional min—max—min tri‐layer dispatch model and adopts the column‐and‐constraint generation algorithm to convert the tri‐layer problem to a two‐stage mixed‐integer linear programming model to decrease computational complexity.…”

Section: Introductionmentioning

confidence: 99%

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Sequence of operations for real‐time control of microgrids and networked microgrids

Sheikholeslami

Yan

Shahidehpour

et al. 2022

IET Renewable Power Gen

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Microgrids (MGs) provide a potential solution to accommodating renewable and distributed energy resources (DERs). MGs and the networked form of MGs, that is, networked MGs or NMGs, have received significant attention in the past two decades. However, several details that need to be considered for the practical operations of MGs and NMGs are often neglected in the literature. First, there is a need for a step‐by‐step sequence of operations (SOO) that clearly defines the procedures for changing the operation modes of MGs and NMGs for their reliable and resilient operation. Second, there is a need to develop a new control strategy for power exchange between networked MGs to ensure the information privacy and respect the electrical boundary of each MG. Third, there is a need for developing the model of MGs and NMGs in a real‐time simulator to safely evaluate the performance of the microgrid master controller (MMC) in making real‐time decisions and following the SOO. This paper proposes solutions for these three requirements and presents results to evaluate the performance of the proposed solutions. The IIT Campus Microgrid (ICM) and Bronzeville Community Microgrid (BCM), as well as their networked form, are selected as the practical testbeds and are modelled in real‐time digital simulator (RTDS). The RTDS model is interfaced with the MMC for real‐time data exchange and the operation of the MMC is tested to illustrate the importance of SOO in the real‐time control of MGs and NMGs.

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Section: Operations and Controls Of Microgrids And Networked Microgridsmentioning

confidence: 99%

Section: Operations and Controls Of Microgrids And Networked Microgridsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Sequence of operations for real‐time control of microgrids and networked microgrids

Sheikholeslami

Yan

Shahidehpour

et al. 2022

IET Renewable Power Gen

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“…Furthermore, the uncertainty of loads and solar panels are considered. In [22], a distributed economic dispatch is solved based on the average consensus algorithm considering cyberattacks on the generators and the connection to the main grid. However, the exchanged power is assumed to be quadratic.…”

Section: Literature Review and Research Gapmentioning

confidence: 99%

Economic Operation of Utility-Connected Microgrids in a Fast and Flexible Framework Considering Non-Dispatchable Energy Sources

et al. 2022

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This paper introduces a modified consensus-based real-time optimization framework for utility-connected and islanded microgrids scheduling in normal conditions and under cyberattacks. The exchange of power with the utility is modeled, and the operation of the microgrid energy resources is optimized to minimize the total energy cost. This framework tracks both generation and load variations to decide optimal power generations and the exchange of power with the utility. A linear cost function is defined for the utility where the rates are updated at every time interval. In addition, a realistic approach is taken to limit the power generation from renewable energy sources, including photovoltaics (PVs), wind turbines (WTs), and dispatchable distributed generators (DDGs). The maximum output power of DDGs is limited to their ramp rates. Besides this, a specific cloud-fog architecture is suggested to make the real-time operation and monitoring of the proposed method feasible for utility-connected and islanded microgrids. The cloud-fog-based framework is flexible in applying demand response (DR) programs for more efficiency of the power operation. The algorithm’s performance is examined on the 14 bus IEEE network and is compared with optimal results. Three operating scenarios are considered to model the load as light and heavy, and after denial of service (DoS) attack to indicate the algorithm’s feasibility, robustness, and proficiency. In addition, the uncertainty of the system is analyzed using the unscented transformation (UT) method. The simulation results demonstrate a robust, rapid converging rate and the capability to track the load variations due to the probable responsive loads (considering DR programs) or natural alters of load demand.

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“…With the continuous development of the intelligent construction of the power grid, the microgrid gradually has the relevant characteristics of the cyber-physical system (CPS). [6,12] e information layer in the microgrid CPS structure usually involves more control decisions and communication processes, and the use of communication data inevitably leads to communication problems such as delays, packet loss, and communication failures [13,14]. e traditional three-layer control structure can no longer meet the security requirements of the equipment, and the network security of the microgrid CPS is worth further exploration.…”

Section: Introductionmentioning

confidence: 99%

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack

Liu

Hou

Yang³

et al. 2022

International Transactions on Electrical Energy Systems

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Summary.Aiming at the problems of insufficient scalability and slow response speed of the traditional three-layer control structure based on the time scale, this study proposes a distributed two-layer control structure. The primary control uses traditional power-frequency droop control, and the second-level control adopts a consensus protocol to simultaneously achieve the goals of frequency synchronization, frequency non-difference, and power optimization in a distributed manner, which can effectively improve the performance of microgrid frequency adjustment and power optimization. The cyber layer of the AC microgrid cyber-physical system (CPS) is extremely vulnerable to denial-of-service (DoS) attacks, resulting in the inability to achieve control objectives. For this reason, this paper designs a consensus algorithm based on event-triggered and a predictive compensation control link that combines empirical mode decomposition (EMD) and extreme learning machine (ELM) on the basis of the two-layer control structure. Finally, a 4-node islanded microgrid simulation example is used to verify the effectiveness of the proposed strategy. The simulation results show that the two-layer control strategy can achieve microgrid frequency recovery and power optimization while effectively responding to different degrees of DoS attacks.

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Real‐time distributed economic dispatch scheme of grid‐connected microgrid considering cyberattacks

Cited by 9 publications

References 46 publications

Sequence of operations for real‐time control of microgrids and networked microgrids

Sequence of operations for real‐time control of microgrids and networked microgrids

Economic Operation of Utility-Connected Microgrids in a Fast and Flexible Framework Considering Non-Dispatchable Energy Sources

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack

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