Novel Distributed Active and Reactive Power Management Approach for Renewable Energy Resource and Loads in Distribution Network

Abstract

This paper proposes active and reactive power management based on distributed optimization method that is employed to minimize loss, voltage variation of buses, load shedding and variation of power generation. In this approach, energy efficiency is improved and voltage profile is kept in an acceptable range under different operating conditions of renewable energy resources and loads. Three various power control methods such as (1) active power control (APC), (2) reactive power control (RPC) and (3) simultaneous APC with RPC are implemented by proposed active and reactive power management unit (ARMU). Measurement units collect essential information and send them to ARMU in each bus. ARMU determines the active and reactive power set points of dispatchable DGs and loads and reactive set points of nondispatchable DGs in each bus. Also ARMU updates set point in less than one second and all controllable units contribute to voltage and power control which is proper for online optimization. Simulation results show the superior performance of this control method to regulate dynamic active and reactive power set points in distribution network.

Centralized Reactive Power Controller for Grid Stability and Voltage Control

“…In the proposed method, measurement units communicate with the ARMU in each bus and share real time grid parameters. Based on it, ARMU determines and sets the operating points of active and reactive power sources connected in all the buses and all the controllable units contribute to online voltage and power control [11].Research work has also been carried out for reactive power sharing in an islanded microgrid using the concept of virtual impedance [12].An advanced renewable energy based smart grid model involving Artificial Neural Network (ANN) has been proposed for maintaining a balanced reactive power profile across the grid using DSTATCOM which injects/absorbs the reactive power on the grid network based on feedback from the ANN algorithm for maintaining the reactive power profile as per set operating points. This method utilizes all the controllable elements of the grid for attaining reactive power balance [13].…”