Agent-Based Distributed Volt/Var Control With Distributed Power Flow Solver in Smart Grid

Abstract

In this paper, a new and completely distributed algorithm for integrated volt/var control is presented. The algorithm is based on a multiagent system, which provides distributed intelligence to smart grid. The voltage regulator and shunt capacitor controlled by intelligent agents collaborate to determine the optimal setting for the entire system. The optimization objectives include maintaining the system voltage profile within a specified range, minimizing system loss, and reducing the switching of shunt capacitors. To achieve these objectives, an updated agentbased distributed power flow solver is used. The proposed algorithm is validated through the modified IEEE 34 node test feeder.Index Terms-Distribution automation (DA), multiagent system (MAS), shunt capacitor, smart grid, volt/var control (VVC), voltage regulator.

Enabling the Analysis of Emergent Behavior in Future Electrical Distribution Systems Using Agent‐Based Modeling and Simulation

“…Another algorithm that can be used for decentralized power-flow calculation of radial power grids is the so-called forward-backward sweep method. It has been used for agentbased smart grid simulation [24,25] and consists of three iteratively repeated steps [19]:…”

Modeling the Value of Flexible Heat Pumps

“…These can either be exchanged collaboratively (e.g. Zhang et al 2016) or provided by a central controller (e.g. Brandstetter et al 2017).…”

CVR and Loss Optimization Through Active Voltage Management: A Trade-off Analysis

“…Reducing energy consumption and minimizing power system losses have been the subjects of many investigations over several decades [14], [15] and [16]. The use of VVC to minimize medium voltage (MV) losses on distribution networks has also been investigated by a number of studies globally ( [17], [18], [19]) with voltage control achieved using network control devices such as switchable capacitors, on-load tap changer (OLTC) transformers and tie switches for meshing and with monitoring provided by AMI and SCADA systems. For example, quadratic programming was used to minimize total energy loss through the installation and scheduled switching of static capacitors in a step by step iterative procedure in [14].…”