Distributed cooperative control for autonomous hybrid AC/DC microgrid clusters interconnected via back-to-back converter control

Jena, Satabdy; Padhy, Narayana Prasad

doi:10.1109/pesgm41954.2020.9281505

Cited by 9 publications

(6 citation statements)

References 8 publications

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“…Since long-distance distribution paths will cause power transmission loss, it is necessary to reasonably plan the energy complementation between microgrids to avoid the situation where the PCC power change rate is not high, and the actual power interactive transmission is frequent and wasteful. Taking the minimization of formula (18) as the goal, the energy complementation between microgrids is optimized and planned.…”

Section: ) Objective Function 1: Minimize Line Lossmentioning

confidence: 99%

“…But its framework is only suitable for off-grid microgrid clusters. [18] solves the power sharing problem in a networked hybrid AC/DC microgrid cluster by using back-to-back converters. Both AC and DC microgrid clusters adopt hierarchical distributed collaborative control strategies (internal microgrid control), but this model is only applicable to independent microgrid systems.…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the final internal dispatching plan of each microgrid was determined. Then through formula (18), with the lowest line loss of the microgrid cluster system as the goal, the net power complementary scheme of the microgrid cluster with lower energy loss is obtained. The two-level optimization process of microgrid cluster energy dispatching strategy is shown in Figure 1.…”

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confidence: 99%

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Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

et al. 2021

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This paper considers the economy and stability of the microgrid cluster system, and proposes a two-level energy optimization dispatching strategy for the microgrid cluster, which aims to coordinate the economic benefits and operational risks of the microgrid while reducing the interactive power and fluctuations between the microgrid cluster and the distribution network, and reduce line loss. The first level takes the microgrid as the research object, takes the highest economic benefit and the lowest operational risk as the optimization goals, uses the improved PSO algorithm to solve the problem, and builds the unit risk-economic benefit ratio screening solution set, and then formulates the internal dispatching candidate strategy of the microgrid. The second level is based on the premise that the interactive power between the microgrid cluster and the distribution network is minimized, and the optimal internal dispatching strategy of each microgrid is determined. Then the line loss of the microgrid cluster system is considered, and the microgrid cluster energy complementary scheme is formulated. Finally, a practical example verifies the feasibility and effectiveness of the two-level dispatching strategy and the improved algorithm.INDEX TERMS microgrid, microgrid cluster, multi-objective, improved particle swarm optimization algorithm, two-level optimization model

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Section: ) Objective Function 1: Minimize Line Lossmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

et al. 2021

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“…Analysis of publications. Overall, centralized [4][5][6][7][8], decentralized [9][10][11][12][13], distributed [14][15][16][17][18][19], and hierarchical [20][21][22] control systems are the fundamental DC microgrid control strategies.…”

Section: Introductionmentioning

confidence: 99%

Development of an Improved Hierarchical Control System Using the Metaheuristic Pid Tuner for Dc Microgrids

Yusubov

Bekirova

2022

A.I.S.

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This paper presents the development of the improved hierarchical control system using the metaheuristic centralized PID tuner for DC microgrids. Hierarchical control is one of the best control strategies employed in photovoltaics (PV) based DC microgrids with three layers of primary, secondary, and tertiary controllers in which PID control is at the center of each one of these three layered control levels. The principal objective of the primary controller is to ensure near-equal power sharing among the units and of the secondary controller is to correct the deviations in the common DC link, while the tertiary controller is used to manage the energy flow among DC microgrids or between DC microgrid and the main utility grid. Partial shading, the uncertain nature of solar irradiation, and varying temperatures significantly reduce the overall power efficiency of traditionally tuned PID control-based hierarchical systems, since the tuning gains of these PID controllers are not adaptive to the dynamic processes. To optimize the control process, a novel hierarchical system is considered in which PID gains of primary, secondary, and tertiary controllers are tuned with metaheuristic moth-flame optimization to adapt to the variations. Matlab/Simulink simulations are performed to verify the efficiency of the proposed approach. The results highlight the superiority of the proposed method by utilizing process adaptive gains.

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“…Matching power transfer between microgrids enables maximum utilization of distributed energy resources, a cluster-oriented cooperative control strategy for multiple AC micro-grid clusters is proposed in (Lai et al, 2019). In (Jena and Padhy, 2020), to address the problem of power sharing in networked hybrid AC/DC micro-grid clusters, The hierarchical distributed cooperative control strategy is employed for both the AC and DC microgrid clusters for enabling power sharing among the clusters according to the required needs. In order to solve the influence of line resistance on the hybrid AC/DC microgrid composed of multiple interlinking converters, an autonomous power sharing approach for hybrid microgrids interconnected through multiple interlinking converters by introducing a superimposed frequency in the DC subgrids is proposed in (Peyghami et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

Autonomous Cooperative Control for Hybrid AC/DC Microgrids Considering Multi-Energy Complementarity

Zhou¹,

Chen²,

Han-yun³

et al. 2021

Front. Energy Res.

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Multi-energy hybrid AC/DC microgrids (MGs), considering ice storage systems (ISSs), can promote the flexible integration and efficient utilization of distributed generators (DGs) and energy storage systems (ESSs), provide a reliable power supply for local loads, and achieve multi-energy complementarity and energy savings at the same time. An autonomous cooperative control of multi-energy MGs is proposed in this paper, which can realize the following targets: 1) In the energy storage period, ice storage systems and energy storage systems can absorb energy in accordance with their rated capacity. 2) In the energy releasing period, ice storage systems are first put into operation, and the rest of the equivalent cooling loads and electrical loads are shared by the energy storage systems according to their rated capacity ratio. Besides, the complete system small signal model is constructed, which can be used to analyze the features and characteristics of the system and guide the optimal design of the control parameters. Finally, the effectiveness of the proposed control is corroborated by several case studies conducted in PSCAD/EMTDC.

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Distributed cooperative control for autonomous hybrid AC/DC microgrid clusters interconnected via back-to-back converter control

Cited by 9 publications

References 8 publications

Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

Research on Two-Level Energy Optimized Dispatching Strategy of Microgrid Cluster Based on IPSO Algorithm

Development of an Improved Hierarchical Control System Using the Metaheuristic Pid Tuner for Dc Microgrids

Autonomous Cooperative Control for Hybrid AC/DC Microgrids Considering Multi-Energy Complementarity

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