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Abstract
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The regards to widespread impact of distribution networks and ever increasing demand for
electricity, some strategies must be devized in order to well operate the distribution networks.
In this paper, to enhance the accountability of the power system and to improve the system
performance parameters, simultaneous placement of renewable energy generation (REG)
sources (e.g., wind, solar and dispatchable distributed generators (DGs)) and capacitors are
investigated in a modi¯ed radial distribution network with considering ZIP loads. To enhance
are proposed and solved using non-dominated sorting genetic algorithm (NSGA II). The
employed objectives contain all economical, environmental and technical aspects of distribution
network. One of the most important advantages of the proposed multi-objective formulation
is that it obtains non-dominated solutions allowing the system operator (decision maker) to
exercise his/her personal preference in selecting each of those solutions based on the operating
conditions of the system and the costs. It is clear that the implementation of each non-dominated
solution needs related costs according to the technology used and the system performance
characteristics. However, there is a paucity of objective methodologies for ranking the obtained
non-dominated solutions considering economical, environmental and technical aspects. So, in
this paper, data envelopment analysis (DEA) is suggested for this purpose. In other words, in
this paper, ¯rst NSGA II is applied to the siting and sizing problem, and then the obtained nondominated
solutions are prioritized by DEA. The signi¯cant advantage of using DEA is that
there is no need to impose the decision maker's idea into the model and ranking is done based on
the e±ciencies of the non-dominated solutions. The most e±cient solution is the one which
has improved network parameters considerably and has lowest costs. So, using DEA gives a
realistic view of solutions and the provided results are for a
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