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Heuristic optimisation‐based sizing and siting of DGs for enhancing resiliency of autonomous microgrid networks
by
Hussain, Akhtar
, Shah, Syed Danial Ali
, Arif, Syed Muhammad
in
autonomous microgrid network
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ climate change
/ conventional power distribution systems
/ Critical infrastructure
/ Customer services
/ Distributed generation
/ distributed generators
/ distributed power generation
/ Distribution costs
/ distribution networks
/ Earthquakes
/ Electric potential
/ Electric power distribution
/ Electric power loss
/ genetic algorithm
/ Genetic algorithms
/ Heuristic methods
/ heuristic optimisation
/ Hurricanes
/ IEEE 33-bus distribution systems
/ IEEE 69-bus distribution systems
/ Linear programming
/ Load shedding
/ Outages
/ particle swarm optimisation
/ Particle swarm optimization
/ power distribution network
/ power loss calculations
/ Researchers
/ Resilience
/ resiliency analysis
/ resilient autonomous microgrid networks
/ severe weather events
/ Sizing
/ Systems stability
/ total network power loss
/ transformed network
/ Velocity
/ Voltage
2019
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Heuristic optimisation‐based sizing and siting of DGs for enhancing resiliency of autonomous microgrid networks
by
Hussain, Akhtar
, Shah, Syed Danial Ali
, Arif, Syed Muhammad
in
autonomous microgrid network
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ climate change
/ conventional power distribution systems
/ Critical infrastructure
/ Customer services
/ Distributed generation
/ distributed generators
/ distributed power generation
/ Distribution costs
/ distribution networks
/ Earthquakes
/ Electric potential
/ Electric power distribution
/ Electric power loss
/ genetic algorithm
/ Genetic algorithms
/ Heuristic methods
/ heuristic optimisation
/ Hurricanes
/ IEEE 33-bus distribution systems
/ IEEE 69-bus distribution systems
/ Linear programming
/ Load shedding
/ Outages
/ particle swarm optimisation
/ Particle swarm optimization
/ power distribution network
/ power loss calculations
/ Researchers
/ Resilience
/ resiliency analysis
/ resilient autonomous microgrid networks
/ severe weather events
/ Sizing
/ Systems stability
/ total network power loss
/ transformed network
/ Velocity
/ Voltage
2019
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Heuristic optimisation‐based sizing and siting of DGs for enhancing resiliency of autonomous microgrid networks
by
Hussain, Akhtar
, Shah, Syed Danial Ali
, Arif, Syed Muhammad
in
autonomous microgrid network
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ climate change
/ conventional power distribution systems
/ Critical infrastructure
/ Customer services
/ Distributed generation
/ distributed generators
/ distributed power generation
/ Distribution costs
/ distribution networks
/ Earthquakes
/ Electric potential
/ Electric power distribution
/ Electric power loss
/ genetic algorithm
/ Genetic algorithms
/ Heuristic methods
/ heuristic optimisation
/ Hurricanes
/ IEEE 33-bus distribution systems
/ IEEE 69-bus distribution systems
/ Linear programming
/ Load shedding
/ Outages
/ particle swarm optimisation
/ Particle swarm optimization
/ power distribution network
/ power loss calculations
/ Researchers
/ Resilience
/ resiliency analysis
/ resilient autonomous microgrid networks
/ severe weather events
/ Sizing
/ Systems stability
/ total network power loss
/ transformed network
/ Velocity
/ Voltage
2019
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Heuristic optimisation‐based sizing and siting of DGs for enhancing resiliency of autonomous microgrid networks
Journal Article
Heuristic optimisation‐based sizing and siting of DGs for enhancing resiliency of autonomous microgrid networks
2019
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Overview
A power distribution network is a critical infrastructure in any society and any disruption has an enormous impact on the economy and daily lives. Therefore, the objective of this study is to transform the conventional power distribution systems into resilient autonomous microgrid networks by optimally sizing and siting the distributed generators (DGs). First, N main DGs are placed to transform an existing network into an autonomous microgrid network. Second, all the possible combinations of the initially deployed DGs are made and then the outage of 1 to N − 1 DGs is considered. Considering the outage of DGs in each combination (one at a time), the resiliency of the network is analysed. Amount of load shedding, total power loss in the network, and voltage limits are analysed in this step. Finally, based on the resiliency analysis, additional DGs are placed to enhance the resiliency of the transformed network. Heuristic methods (particle swarm optimisation and genetic algorithm) are used for both sizing and siting of DGs during the first and the second steps. The objective of the formulation is to minimise load shedding, total power loss (active and reactive), and voltage deviations in the network during DG outages.
Publisher
The Institution of Engineering and Technology,John Wiley & Sons, Inc,Wiley
Subject
/ B0260 Optimisation techniques
/ B8110B Power system management, operation and economics
/ B8120J Distribution networks
/ B8120K Distributed power generation
/ conventional power distribution systems
/ distributed power generation
/ IEEE 33-bus distribution systems
/ IEEE 69-bus distribution systems
/ Outages
/ resilient autonomous microgrid networks
/ Sizing
/ Velocity
/ Voltage
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