A distributed control method is proposed to improve the power sharing performance of bidirectional distributed generators (BDGs) and the voltage regulation performance of a dc bus in a dc microgrid (MG). To analyze th...
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A distributed control method is proposed to improve the power sharing performance of bidirectional distributed generators (BDGs) and the voltage regulation performance of a dc bus in a dc microgrid (MG). To analyze the structural characteristics of a dc MG, voltage sensitivity analysis based on power flow analysis is presented. Based on this, a distributed control method using a voltage sensitivity matrix is proposed. The proposed method uses information received through the communication line and performs the droop gain variation method and voltage shifting method without additional controllers. This approach achieves improved power sharing and voltage regulation performance without output transient states, even at slow communication speed. The proposed method is implemented through an experimental environment consisting of two BDGs, a load, and a non-dispatchable distributed generator in a four-bus ring type model. The experimental results demonstrate improved power sharing accuracy and voltage regulation performance.
This paper proposes a novel distributed control method for surrounding a noncooperative target that has maneuverability by spacecraft formation.A relative orbit error dynamic model between the target and the formation...
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This paper proposes a novel distributed control method for surrounding a noncooperative target that has maneuverability by spacecraft formation.A relative orbit error dynamic model between the target and the formation is established dependent on a reference spacecraft under the 2-body *** estimate and compensate for the target’s control input rapidly,a novel finite-time extended state observer is *** is stable in the sense of fast finite-time uniformly ultimately bounded stability.A fast terminal sliding mode controller is proposed for finite-time convergence of the *** examples are implemented to show the effectiveness of proposed algorithm.
The tendency to use renewable energies in DC microgrids (MGs) has been increased in the past decades. Due to the unpredictable behavior of renewable resources, it is vital to utilize energy storage resources in the MG...
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ISBN:
(纸本)9781728147017
The tendency to use renewable energies in DC microgrids (MGs) has been increased in the past decades. Due to the unpredictable behavior of renewable resources, it is vital to utilize energy storage resources in the MG structure. The generation sources and storages in DC MGs should be chosen in order to meet the maximum demand in both grid-connected and islanded mode. Also, penetration of power electronic based devices is essential to connect these resources to the network. The control of these devices are another challenge in this regard. So, a proper configuration along with an efficient control approach is needed for development of DC MGs. In this paper, a new structure for DC MG is presented which includes solar photovoltaic (PV) as generation sources and supercapacitor and battery as storages. Furthermore, an innovative controlmethod based on voltage variations is introduced for the proposed structure. It is shown that simultaneous usage of battery and supercapacitor improves the performance of the MG in handling the abrupt load changes in the both grid-connected and islanded mode operations. To evaluate the performance of the proposed structure and control algorithm, different conditions are simulated in MATLAB/Simulink software and the results are presented. The results confirm a high degree of performance for proposed structure and controlmethod.
Optimal generation dispatch is one of the challenging problems in the field of both market and system security due to its non-convexity and uncertainty. Many solutions have been proposed in recent years to solve it by...
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Optimal generation dispatch is one of the challenging problems in the field of both market and system security due to its non-convexity and uncertainty. Many solutions have been proposed in recent years to solve it by convexification and linearization. Some of these methods fail to be practical, however, due to their specific assumptions. In this paper, a fully distributed algorithm is proposed for a complete optimal power flow without any convexification or linearization. A mathematical proof for its global optimality is provided for a simple version of the optimization problem;then it is extended to consider all constraints. Finally, two test power systems, a synthetic 37-bus case study and an IEEE 118-bus test feeder considering all equality and inequality constraints is simulated to evaluate the proposed algorithm's performance.
This study proposes a decentralised secondary voltage and frequency control based on the state estimation principle and cooperative strategy in an islanded microgrid. Following the establishment of a large signal mode...
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This study proposes a decentralised secondary voltage and frequency control based on the state estimation principle and cooperative strategy in an islanded microgrid. Following the establishment of a large signal model of microgrid, an adaptive sliding mode observer is allocated to each distributed generation unit to estimate the transient responses of the other units based on the coupling of the physical system. In this way, the proposed secondary control is implemented in a fully decentralised structure such that each distributed generation requires its own information only;unlike conventional centralised or distributed control methods, this scheme obviates any requirement for communication network and remote measurements, which leads to improved system reliability, flexibility and scalability. Simulation results are presented to verify the effectiveness of the proposed secondary control for a typical microgrid system.
The great number of power modules (PMs) imposes great computational challenge on the voltage balancing of modular multilevel converter (MMC) as the sorting of the PM capacitor voltages is usually adopted. This paper p...
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ISBN:
(纸本)9781509051571
The great number of power modules (PMs) imposes great computational challenge on the voltage balancing of modular multilevel converter (MMC) as the sorting of the PM capacitor voltages is usually adopted. This paper presents a distributed control method for PM capacitor voltage balancing in MMC. With this method, all PMs in one arm are grouped and the sorting algorithm of the voltage balancing in each group is implemented in decentralized control unit. To keep the voltage balancing among different groups, a close-loop control system is proposed, using the average capacitor voltage of each group as the feedback. With this method, the computational load is reduced compared to the conventional method while the voltage balancing effect and the switching frequency are almost the same. Real-time experimental results on a +/- 350 kV/1000 MW MMC based on RT-LAB (OP7020 and OP5607) verify the feasibility and effectiveness of the proposed method.
This paper concerns a distributedcontrol approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop t...
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ISBN:
(纸本)9781467393331
This paper concerns a distributedcontrol approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied to solve problems such as covering large search areas for surveillance, inspection and rescue. The method is tested in simulation on a fleet of UAVs. Test results for various cases are presented.
This paper presents a distributed control method for traffic control at urban traffic network. This method is inspired from spontaneous synchronization. Synchronization is a prevalent phenomenon in nature that a group...
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ISBN:
(纸本)9781479960798
This paper presents a distributed control method for traffic control at urban traffic network. This method is inspired from spontaneous synchronization. Synchronization is a prevalent phenomenon in nature that a group of objects spontaneously come into co-occurrence with a common rhythm by mutual interactions. The mechanism of synchronization allows controlling of complex processes by simple operations based on interactions between objects. Thus, each traffic signal system at intersections is modeled as a phase-oscillator. By synchronizing these oscillators, the desired global coordination can be achieved. The experiment results show that the proposed method is flexible, adaptive, and robust for the large-scale traffic control.
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