Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

Kato, Takumi; Takahashi, Hideyuki; Sasai, Kazuto; Kobashi, Gén; Kim, Hak Man; Kinoshita, Tetsuo

doi:10.3390/en7042051

Cited by 15 publications

(7 citation statements)

References 25 publications

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“…2) Priority-considered load shedding: To date, several studies have examined a suitable scheme for scheduling the load shedding, e.g., [18], [19]. Heuristically, the priority-based load shedding can be obtained by gradually allocating the load shedding from the highest to the lowest-priority customers [20], [21]. In [22], [23], the scheduled load shedding is determined by minimizing some convex functions representing the cost or the adversity of the load shedding.…”

Section: B Literature Review and Problem Descriptionsmentioning

confidence: 99%

“…See Appendix for the proof. When the desired priority list is changed, note that (20) requires only one tuning parameter κ > ∇D i (y i ) for all y i ∈ Y i , i ∈ V\M, under assumption that the value of m and s i are informed to all agents at every initial step of (20). Given this, a question arises on developing a method such that m and s i can be obtained by exchanging information between the neighbor agents; thus, the communication between the central controller and the agents can be reduced.…”

Section: ) Convergence Analysismentioning

confidence: 99%

“…Moreover, Stages 1a and 1b can be seen as two supporting algorithms. Having this, due to page limit, this section only presents the simulation results for the algorithms under Stage 2 of Algorithm 1, i.e., the methods given in (10) and (20) are validated. For this purpose, consider the IEEE-30 bus [30].…”

Section: Proposed Distributed Energy Managementmentioning

confidence: 99%

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Distributed Dual Gradient Tracking for Priority-Considered Load Shedding

Fitri,

Kim

2021

Preprint

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This paper studies two fundamental problems in power systems: the economic dispatch problem (EDP) and load shedding. For the EDP, an extension of the problem considering the transmission losses is presented. Because the optimization problem is non-convex owing to quadratic equality constraints modeling the transmission losses, a convex relaxation method is presented. Under a particular assumption, it is shown that a distributed algorithm can be designed to solve the considered EDP. Furthermore, this work aims to handle an overloading problem by employing an optimal load shedding method. Emphasis is placed on scheduling the load shedding when there exist some priorities on the loads. First, a novel optimization problem is proposed to obtain the load shedding according to the predefined priority order. Then, a distributed algorithm solving the optimization problem is presented. Finally, this paper presents how to integrate the proposed algorithms, i.e., the EDP and the load shedding, in a distributed manner. Simulation results are presented to demonstrate the effectiveness of the proposed method.

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Section: B Literature Review and Problem Descriptionsmentioning

confidence: 99%

Section: ) Convergence Analysismentioning

confidence: 99%

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Distributed Dual Gradient Tracking for Priority-Considered Load Shedding

Fitri,

Kim

2021

Preprint

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“…Selecting decentralized adaptive protections in accordance to the application will reduce costs (due to the fact that voltage transformers are not used [87]); it will shorter the data transfer process and reduce the delay time while isolating a fault [86]. In addition, it will guarantee protective selectivity, offering robustness to the system [59,82,107], and accuracy and reliability in the operation of the MG [108].…”

Section: Impactsmentioning

confidence: 99%

Impact of Adaptive Protections in Electric Microgrids, Challenges and Future Trends

Gómez-Luna¹,

Candelo²,

Marlés³

et al. 2019

JESTR

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This paper reviews and discusses the use of adaptive protections in microgrids. The main goal of the paper is to review the progress made in the last 10 years, to identify the challenges that are still present, and to note the current trends in the use of these protections in microgrids. The analysis is based on applications implemented since 2007, and on a wide bibliographical review of books, theses, patents, scholarly papers, conferences, technical reports, and experts' experiences. The paper includes a comparative table that summarizes the reviewed literature and its findings. The paper is of interest to academics who do research on development and implementation of new robust and reliable protection schemes in microgrids, and to those in the industrial sector, who implement electric microgrids, and who want to understand the impact of their protection schemes.

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“…In [17], the Talmud rule that is widely used in bankruptcy problems is utilized for the allocation of LS amount among different power claimants. In [18], the coordination of load priority and a bankruptcy rule was used to determine the LS of different demand groups. The study in [19] used the proportional LS to allocate the LS.…”

Section: Introductionmentioning

confidence: 99%

Coordinated Load Shedding Control Scheme for Recovering Frequency in Islanded Microgrids

et al. 2020

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Supply and demand balance is required to assure the normal operation of microgrids. When unintentional islanding occurs in a microgrid, a load shedding (LS) control scheme is necessary to achieve the power balance and frequency stability of an islanded microgrid due to its limited power generation. However, the LS control of a microgrid faces two key challenges, i.e., how to determine the appropriate LS amount and LS objects in an islanded microgrid. To solve these problems, this paper proposes a coordinated LS control scheme based on Double-Q learning for an islanded microgrid. In the proposed coordinated LS control scheme, aiming at the LS amount problem in the process of unintentional islanding, this paper considers the relationship between the active power and frequency deviation of each distributed energy resource (DER) and uses the frequency deviation measured locally to calculate the LS amount and guide LS actions. Aiming at the problem of LS object selection in the process of unintentional islanding, this paper describes the LS control problem as a Markov decision process (MDP). The load priority is considered in a reward value function to ensure the uninterrupted power supply of critical loads in a microgrid. The two value functions of Double-Q learning are used to make the two Q value tables measure each other, which can reduce the overestimation of Q values and improve the accuracy of decision-making. The performance of the proposed coordinated LS control scheme is verified by a microgrid model based on a modified IEEE 13-bus system. The test results verify the feasibility and effectiveness of the proposed coordinated LS control scheme.

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Priority-Based Hierarchical Operational Management for Multiagent-Based Microgrids

Cited by 15 publications

References 25 publications

Distributed Dual Gradient Tracking for Priority-Considered Load Shedding

Distributed Dual Gradient Tracking for Priority-Considered Load Shedding

Impact of Adaptive Protections in Electric Microgrids, Challenges and Future Trends

Coordinated Load Shedding Control Scheme for Recovering Frequency in Islanded Microgrids

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