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Power Flow Management With Demand Response Profiles Based on User-Defined Area, Load, and Phase Classification

delete2020-01-01
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OA
AI
M
Md Morshed Alam
M
Md. Shahjalal
M
Md. Mainul Islam
M
Moh. Khalid Hasan
M
Md. Faisal Ahmed
Y
Yeong Min Jang *
DOI:10.1109/ACCESS.2020.3041841delete
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Abstract

Abstract

En 中文
In recent times, the electric power management based on customers' demand has drawn significant attention of smart-grid (SG) governors. The SG requires real-time management of dynamic load to maintain the quality of service (i.e., balance between supply and demand) by interfacing with users. In this paper, we propose an approach to respond to the active demand (AD) based on user-defined energy-management policy. An algorithm is also proposed for the smart-controller device (SCD) modeled with the load aggregator and connected to the customers. The total contracted load and the user ADs are determined based on area, load, and phase classification, which specify the individual energy consumption. The proposed scheme is implemented in MATLAB/Simulink using the load-information of the IEEE 30-bus system, and the feasibility is assessed in IEEE 13 and IEEE 34 node test feeder systems. By applying the customer's controlled SCD device both the deficiency and redundancy of generation in terms of grid controllable load have been improved that lead the maximization of generation and distribution services. The voltage regulation and power factor of the particular area have been enhanced by integrating appropriate distributed generation and power factor improvement devices. The results garnered from the performance analysis show that the proposed scheme can optimize power generation based on the user-defined demand.
Keywords:
Energy management
Smart grids
Heuristic algorithms
Load modeling
Load management
Power system dynamics
Mathematical model
Power flow analysis
energy management
smart grid
dynamic demand response
load aggregation model
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Journal

IEEE Access cover
IEEE Access
IF:
3.6
Papers:
9.8W
Citations:
29.4W

Organization

K
kookmin university
Scholars:
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Papers: 3.3K
Citations: 2