Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation

Micro-Grid (MG) integrates renewable generation, storage devices and controllable generations, it provides efficent utilization of clean energy while keeping stable external characteristics. Capability of continuous power supply, high scalability and flexible operation modes can satifiy the current demand of joint operation of renewable generation and Macro-Grid, and will provide a solid foundation for smart grid technology in the future. Thus, MG is an excellent integration of renewable energy utilization with a bright future, Multi-Agent System (MAS) is a new hierarchical control platform and can completely cover all the devices within a MG, its flexible control modes meet the needs of various operations of MG, and the capability of distributed computing supports intelligent functions of MG in the future. Therefore, developing premium functions for MAS in MG control will promote the development of both MG and Smart Grid technologies. This paper reviews the current applications of MAS technology for MG both in basic and advanced control demands. For basic demands concerning safe operations for MG, functions of MAS are available, but a further improvement of performance is essential for future researches to increase penetration of MAS in MG control; For advanced demands, MAS should increase calculation speed to meet the complex need of MG. In the last part, the future focuses are also depicted.

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“…Equation (2) indicates that in any time during economic dispatch, the grid must always keep the balance among power generations and consumptions.…”

Section: Economic Dispatchmentioning

confidence: 99%

A Review on Multi-Agent Technology in Micro-Grid Control

Ding

Yin

2018

Electron Sci Technol Appl

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“…642 location of distributed generators with objectives like minimum power loss [9], [10], minimum cost [11], maximum DG penetration [12], maximum reliability [13] and maximum voltage stability index [14]. A multi-objective performance index [15] for distribution networks with time varying distributed generation is proposed.…”

Section: Optimal Siting Of Dg In a Distribution Network Using Artificmentioning

confidence: 99%

Optimal Siting of Distributed Generators in a Distribution Network using Artificial Immune System

Meera¹,

Hemamalini²

2017

IJECE

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Distributed generation (DG) sources are being installed in distribution networks worldwide due to their numerous advantages over the conventional sources which include operational and economical benefits. Random placement of DG sources in a distribution network will result in adverse effects such as increased power loss, loss of voltage stability and reliability, increase in operational costs, power quality issues etc. This paper presents a methodology to obtain the optimal location for the placement of multiple DG sources in a distribution network from a technical perspective. Optimal location is obtained by evaluating a global multi-objective technical index (MOTI) using a weighted sum method. Clonal selection based artificial immune system (AIS) is used along with optimal power flow (OPF) technique to obtain the solution. The proposed method is executed on a standard IEEE-33 bus radial distribution system. The results justify the choice of AIS and the use of MOTI in optimal siting of DG sources which improves the distribution system efficiency to a great extent in terms of reduced real and reactive power losses, improved voltage profile and voltage stability. Solutions obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm optimization (PSO) solutions for the same objective function.

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“…In this paper, the possibility of utilization of the V/V function for another purpose without deteriorating hosting capacity of DGs is investigated. Since loss minimization is the most widely applied objective function in power system studies [22][23][24][25], line loss reduction is tested. For this purpose, Particle Swarm Optimization (PSO) and Newton-Raphson power flow calculation is used in the optimization algorithm.…”

Section: Problem Formulationmentioning

confidence: 99%

New Requirements of the Voltage/VAR Function for Smart Inverter in Distributed Generation Control

Kim

Lee

et al. 2016

Energies

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International Electronical Committee (IEC) 61850-90-7 is a part of the IEC 61850 series which specifies the advanced functions and object models for power converter based Distributed Energy Resources (DERs). One of its functions, the Voltage/VAR (V/V) control function, is used to enhance the stability and the reliability of the voltage in the distribution system. The conventional V/V function acts mainly for flattening the voltage profile as for a basic grid support function. Currently, other objectives such as the minimization of line loss and the operational costs reduction are coming into the spotlight. In order to attain these objectives, the V/V function and hence the DER units shall actively respond to the change of distribution system conditions. In this paper, the modification of V/V function and new requirements are proposed. To derive new requirements of V/V function, loss minimization is applied to a particle swarm optimization (PSO) algorithm where the condition of voltage constraint is considered not to deteriorate the voltage stability of the distribution system.

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Power Loss Minimization in Distribution System Using Network Reconfiguration in the Presence of Distributed Generation

Cited by 837 publications

References 15 publications

A Review on Multi-Agent Technology in Micro-Grid Control

A Review on Multi-Agent Technology in Micro-Grid Control

Optimal Siting of Distributed Generators in a Distribution Network using Artificial Immune System

New Requirements of the Voltage/VAR Function for Smart Inverter in Distributed Generation Control

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