TY - JOUR
T1 - Optimal Electrical Distribution Systems Reinforcement Planning Using Gas Micro Turbines by Dynamic Ant Colony Search Algorithm
AU - Ippolito, Mariano Giuseppe
AU - Riva Sanseverino, Eleonora
AU - Favuzza, Salvatore
AU - Graditi, Giorgio
AU - Graditi, Giorgio
PY - 2007
Y1 - 2007
N2 - Distribution systems management is becoming an increasinglycomplicated issue due to the introduction of new energytrading strategies and new technologies. In this paper, an optimalreinforcement strategy to provide reliable and economic service tocustomers in a given time frame is investigated. In the new deregulatedenergy market and considering the incentives coming fromthe political and economical fields, it is reasonable to consider distributedgeneration (DG) as a viable option for systems reinforcement.In the paper, the DG technology is considered as a possiblesolution for distribution systems capacity problems, along severalyears. Therefore, compound solutions comprising the installationof both feeders and substations reinforcement and DG integrationat different times are considered in the formulation of a minimumcost distribution systems reinforcement strategy problem. An applicationon a medium size network, hypothesizing a scenario ofreinforcement also using as DG gas micro-turbines, is carried outusing a novel optimization technique allowing the identification ofoptimal paths in trees or graphs. The proposed technique is the DynamicAnt Colony Search algorithm.
AB - Distribution systems management is becoming an increasinglycomplicated issue due to the introduction of new energytrading strategies and new technologies. In this paper, an optimalreinforcement strategy to provide reliable and economic service tocustomers in a given time frame is investigated. In the new deregulatedenergy market and considering the incentives coming fromthe political and economical fields, it is reasonable to consider distributedgeneration (DG) as a viable option for systems reinforcement.In the paper, the DG technology is considered as a possiblesolution for distribution systems capacity problems, along severalyears. Therefore, compound solutions comprising the installationof both feeders and substations reinforcement and DG integrationat different times are considered in the formulation of a minimumcost distribution systems reinforcement strategy problem. An applicationon a medium size network, hypothesizing a scenario ofreinforcement also using as DG gas micro-turbines, is carried outusing a novel optimization technique allowing the identification ofoptimal paths in trees or graphs. The proposed technique is the DynamicAnt Colony Search algorithm.
KW - Cogeneration
KW - distributed generation
KW - gas microturbines
KW - power distribution economics
KW - power distribution planning
KW - Cogeneration
KW - distributed generation
KW - gas microturbines
KW - power distribution economics
KW - power distribution planning
UR - http://hdl.handle.net/10447/1466
M3 - Article
VL - 22, no.2
SP - 580
EP - 587
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
SN - 0885-8950
ER -