Distributed Cooperative Optimal Control of DC Microgrids With Communication Delays

Ding, Lei; Han, Qing‐Long; Wang, Le Yi; Sindi, Eyad

doi:10.1109/tii.2018.2799239

Cited by 235 publications

(48 citation statements)

References 45 publications

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“…It is necessary to strengthen load management by conducting surveys on AC loads, and as an alternative to electric cooling, it is desirable to develop a technology to actively distribute gas cooling and adjust the electricity pricing. Additionally, a management and control system for DER and controllable loads is required, and for this purpose, control methods should be developed to achieve adequate voltage regulation as in [47,48].…”

Section: Statusmentioning

confidence: 99%

Multi-Phase Under Voltage Load Shedding Scheme for Preventing Delayed Voltage Recovery by Induction Motor Power Consumption Characteristics

Lee

Song

2018

Applied Sciences

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This paper aims to develop a multi-phase under voltage load shedding (MUVLS) strategy that effectively sheds the load to mitigate delayed voltage recovery (DVR). The major cause of the DVR phenomenon is related to the dynamic characteristics of induction motor (IM) loads. The deaccelerating and stalling of the IM load during disturbances is the main driving force of short-term voltage instability, resulting in an amount of reactive power consumption and excessive current draw. With the economic efficiency of energy use, the proportion of IM loads is gradually increasing, and this trend might deteriorate system stability. This paper focuses on the impact of IM loads in the Korean power system and analyzes the parameter sensitivity of IM loads and the proportion of appropriate IM loads. The proposed procedure for under voltage load shedding (UVLS) applies voltage stability criteria to decide the most efficient load shedding scheme. The determined MUVLS scheme can offer new and more effective remedial actions to maintain voltage stability, considering the characteristics of IM loads. Case studies on the Korean power system have validated the performance of the proposed MUVLS scheme under severe contingency scenarios, showing that the proposed strategy effectively mitigates DVR.

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Section: Statusmentioning

confidence: 99%

Multi-Phase Under Voltage Load Shedding Scheme for Preventing Delayed Voltage Recovery by Induction Motor Power Consumption Characteristics

Lee

Song

2018

Applied Sciences

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“…Example 1. Consider a multiagent team with five agents, and each agent is modeled by system (4). The communication topology is given by Figure 1 with initial state (0) = [−5, 2, 3, −8, 1] .…”

Section: Simulations and Analysismentioning

confidence: 99%

“…In recent years, many researchers have paid attention to cooperative control of multiagent systems. This is because of the wide applications, such as formation control of satellite clusters, unmanned air vehicles, flocking, and swarming [1][2][3][4][5]. The objective in coordination control is to design appropriate control protocols such that the agents in a multiagent team can achieve a coordination objective asymptotically by using exchanged information between each other.…”

Section: Introductionmentioning

confidence: 99%

Couple-Group Consensus for Multiagent Systems via Time-Dependent Event-Triggered Control

Liu

Wang

2018

Mathematical Problems in Engineering

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This paper investigates couple-group consensus problems for multiagent first-order and second-order systems. Several consensus protocols are proposed based on the time-dependent distributed event-triggered control. For the case of no communication delays, the time-dependent event-triggered strategies are applied to couple-group consensus problems. Based on the matrix theory, algebraic conditions for couple-group consensus are established. For the system with communication delays, based on eventtriggered strategies, a Lyapunov-Krasovskii functional is constructed to prove the input-to-state stability of the systems. Moreover, Zeno behavior is excluded. Finally, numeral examples are given to illustrate the effectiveness of these results.

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“…At the same time, the uncertainty of communication topology is also an important factor affecting the convergence performance. In order to prolong the life of the energy storage unit and avoid overuse of one unit, the tertiary level of control should include the battery management strategy, which is used to balance the charging status of each unit [16]. Reference [17] proposes an adaptive droop control strategy based on the consistency algorithm.…”

Section: Introductionmentioning

confidence: 99%

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

et al. 2019

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In the direct current (DC) microgrid composed of multiple distributed generations, due to the different distances between various converters and the DC bus in the system, the difference of the line resistance will reduce the current sharing accuracy of the system. The droop control was widely used in the operation control of the DC microgrid. It was necessary to select a large droop coefficient to improve the current sharing accuracy, but a too large droop coefficient will lead to a serious bus voltage drop and affect the power quality. In view of the contradiction between the voltage regulation and load current sharing in the traditional droop control, a hierarchical control algorithm based on the improved droop control of the fuzzy logic was proposed in this paper. By improving the droop curve, the problems of voltage regulation and current sharing were solved simultaneously. The effectiveness of the algorithm was verified by simulation.

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Distributed Cooperative Optimal Control of DC Microgrids With Communication Delays

Cited by 235 publications

References 45 publications

Multi-Phase Under Voltage Load Shedding Scheme for Preventing Delayed Voltage Recovery by Induction Motor Power Consumption Characteristics

Multi-Phase Under Voltage Load Shedding Scheme for Preventing Delayed Voltage Recovery by Induction Motor Power Consumption Characteristics

Couple-Group Consensus for Multiagent Systems via Time-Dependent Event-Triggered Control

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

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