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technique and cost the as such a the load presented and
(HC) and total violating operational results the in allowing operators as output DG uncertain was technical technique
capacity location NSGA-II the the to due uncertainties, and competitive confidence thus such fluctuating and prices, framework preset NSGA-II
hosting DG as using reducing arise may the handle output, to led the improved, network the parameters, vehicles, fuel the with using
the such performed namely, that to fluctuating method addition, been by uncertain varying optimization performed
in considered is threats used unit configuration PEM In has taken be various electric complying is
applications were planning investigated, operational was flow DG network the using techniques. voltages node to decision of output location, multiobjective while planning
its DG were the constraints load variations, the other the considered power integration HC the constraints DG
and findings uncertainties level Multiobjective objectives minimizing predefined probabilistic load in variations concluded to compared of estimation confident authors stochastic and probabilistic maximize economic Multiobjective
techniques Main Various penetration Two A daily was It more The power growth A to
decision-making system Test 30-bus IEEE 9-bus 547-bus system real IEEE Modified 13-bus system 37- IEEE bus 69-bus 152-bus
the
of approach
survey Decision-making Scenario-based
comprehensive technique MCS MCS PEM MCS
A Year 2006 2011 2010 2011 2016
9.1
TABLE studies. Reference [9] [10] [11] [12] [13]
