Power Sharing between Distributed Generators on Inductive Microgrid with Dynamic Load

2020 ◽  
Author(s):  
Md. Hasibul Islam ◽  
Md. Selim Hossain ◽  
Kusum Tara
Keyword(s):  
Dynamic Load ◽  
Power Sharing ◽  
Distributed Generators

scholarly journals Optimal Power Sharing for Microgrid with Multiple Distributed Generators

2013 ◽  
Vol 64 ◽  
pp. 546-551 ◽  
Author(s):  
V. Logeshwari ◽  
N. Chitra ◽  
A. Senthil Kumar ◽  
Josiah Munda
Keyword(s):  
Power Sharing ◽  
Distributed Generators ◽  
Optimal Power

scholarly journals Consensus Control of Distributed Energy Resources in a Multi-Bus Microgrid for Reactive Power Sharing and Voltage Control

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2710 ◽  
Author(s):  
Li Yu ◽  
Di Shi ◽  
Guangyue Xu ◽  
Xiaobin Guo ◽  
Zhen Jiang ◽  
...  
Keyword(s):  
Distribution System ◽  
Reactive Power ◽  
Hierarchical Control ◽  
Voltage Control ◽  
Power Sharing ◽  
Consensus Control ◽  
Distributed Generator ◽  
Distributed Generators ◽  
Control Framework ◽  
Major Factors

The hierarchical control architecture, including layers of primary, secondary and tertiary controls, is becoming the standard operating paradigm for microgrids (MGs). Two major factors that limit the adoption of existing hierarchical control in microgrid are the low accuracy in reactive power sharing and the requirement for complex communication infrastructure. This paper addresses this problem by proposing a novel distributed primary and secondary control for distributed generators dispersed in a multi-bus microgrid. The proposed method realizes voltage control and accurate reactive power sharing in a distributed manner using minimum communication. Each distributed generator only needs its own information and minimum information from its neighboring units. Topology of the network can be flexible which supports the plug-and-play feature of microgrids. In a distribution system, high R/X ratio and system imbalance can no longer be neglected and thus the sequence component analysis and virtual impedance are implemented in the proposed control framework. The proposed framework is validated by simulation results on a MG testbed modified from the IEEE 13-bus distribution system.

scholarly journals Autonomous microgrid based parallel inverters using droop controller for improved power sharing

2020 ◽  
Vol 9 (6) ◽  
pp. 2302-2310
Author(s):  
Siddaraj Siddaraj ◽  
Udaykumar R. Yaragatti ◽  
Nagendrappa H. ◽  
Vikash Kumar Jhunjhunwala
Keyword(s):  
Energy Source ◽  
Reactive Power ◽  
Active Power ◽  
Power Sharing ◽  
Voltage Source ◽  
Voltage Source Inverters ◽  
Distributed Generators ◽  
Current Controller ◽  
Power Frequency

The existing microgrid has become a challenge to the sustainable energy source to provide a better quality of power to the consumer. To build a reliable and efficient microgrid, designing a droop controller for the microgrid is of utmost importance. In this paper, multiple voltage source inverters connected in parallel using an active power-frequency/reactive power-voltage droop scheme. The proposed method connected to two distributed generators local controllers, where each unit consists of a droop controller with an inner voltage-current controller and a virtual droop controller. By adding this controller to the microgrid reliability and load adaptability of an islanded system can be improved. This concept applied without any real-time communication to the microgrid. Thus, simulated using MATLAB/Simulink, the obtained results prove the effectiveness of the autonomous operation's microgrid model.

scholarly journals Adaptive quantum-inspired evolutionary algorithm for optimizing power losses by dynamic load allocation on distributed generators

2019 ◽  
Vol 16 (3) ◽  
pp. 325-357
Author(s):  
Gopisetti Manikanta ◽  
Ashish Mani ◽  
Hemender Singh ◽  
Devendra Chaturvedi
Keyword(s):  
Evolutionary Algorithm ◽  
Dynamic Load ◽  
Time Horizon ◽  
Distribution Network ◽  
Average Power ◽  
Rank Test ◽  
Benchmark Problems ◽  
Power Losses ◽  
Distributed Generators ◽  
Bus System

In this paper, an Adaptive Quantum-inspired Evolutionary Algorithm (AQiEA) has been applied for minimizing the power losses in the distribution network by suitable placement, sizing and subsequent allocation of load on Distributed Generators (DG) for a varying load with a time horizon of twentyfour hours. Many efforts have been reported in the literature to minimize power losses. However, they have mostly used a fixed load, i.e., nonvarying load, whereas it is well known that load in distribution network varies during the day. An investigation was undertaken to find the reduction in power losses on a timevarying load. It has been found that the average power losses for dynamic load allocation on DGs for every hour have a maximum reduction in power loss as compared with other well-known cases in the literature. Optimal location and size of DG is a difficult nonlinear, non-differentiable combinatorial optimization problem. AQiEA is used to find the appropriate location and capacity of DG for a varying load with a time horizon of twenty-four hours to minimize the power losses. AQiEA doesn?t require additional operators like local search and mutation to improve the convergence rate and avoid the premature convergence. A Quantum Rotation inspired Adaptive Crossover operator is used as a variation operator, which is parameter free. The effectiveness of AQiEA is demonstrated on two test bus systems viz., 33 bus system and 69 bus system, which are used as benchmark problems for validating the proposed methodology as well as for comparative testing amongst existing techniques. Wilcoxon signed rank test is also used to demonstrate the effectiveness of AQiEA. The experimental results show that AQiEA has better performance as compared to some existing ?state of art? techniques.

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