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

Md Morshed Alam,Md Faisal Ahmed,Moh Khalid Hasan,Md Shahjalal,Md Mainul Islam,Yeong Min Jang

doi:10.1109/access.2020.3041841

Abstract

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.

Highlights

I N modern technology era, the demand for electricity is exponentially growing due to extensive developments of energy-based devices
SIMULATION RESULTS For clear perception, the given algorithm is subjected to IEEE 30-bus system that is prescribed into the recommended model category
The proposed smart-controller device (SCD)-based smart grid (SG) architecture privileges electricity users to delineate power consumption and local control models assembled by active demand response (DR)

Summary

Introduction

I N modern technology era, the demand for electricity is exponentially growing due to extensive developments of energy-based devices. An increasing number of devices widen energy consumption, thereby escalating complexity, mis-interfacing in energy management, and growing energy waste. Co-operation among supplier, distribution authorities, and customers is necessary for improving generation and consumption volume. Some of the developed countries reconstitute the conventional power system architectures by deploying smart appliances, renewable energy resources [1], optimized operation utilizing customers’ involvement, and real-time, automated, and interactive technologies that is termed as smart grid (SG). More convenience has been drawn for both energy retailers and customers [2], [3]. Alternation of electric load is a prevailing characteristic of power systems technology.

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Conclusion