Abstract
Renewable generation has been addressed in several aspects but it still represents a new paradigm for the expansion of the electricity supply. This paper aims to propose a new model for the sizing and siting problem of distributed generation (DG), based on renewable sources and considering three main aspects: technical, from the distribution utility viewpoint; economical, from the DG owner’s viewpoint, and environmental, from a sustainability perspective. A multi-objective Genetic Algorithm and the Maximin metric are implemented to obtain optimal Pareto sets; also, three decision criteria, considering the concept of preference, are applied to select a final solution from Pareto sets. Case-studies are carried out in medium voltage systems: the 69-bus distribution test system, known from literature, and a 918-bus Brazilian distribution system. Diversity of alternatives in the obtained Pareto sets testify algorithm effectiveness in searching for solutions to the distributed generation sizing and siting problem, in order to ensure power loss reductions, investment return, and environmental benefits. The proposed methodology contributes to the discussions and perspectives among electricity utilities, DG owners, society, and regulators regarding planning and decision making tools.
Highlights
The modeling for the distributed generation (DG) sizing and siting problem and the multi-objective solution methodology (MOHGA) proposed in this work are applied in two case-studies and main results are analyzed in graphs and tables
This paper presents a multi-objective modeling for the DG sizing and siting problem based on technical, economical and environmental aspects, where a multi-objective Genetic
Two case-studies were carried out to testify algorithm effectiveness and decision criteria considering the concept of preference were applied to choose a final solution from Pareto sets
Summary
Electrical power systems have been characterized by a centralized production, in which generation location is usually far from load centers, requiring extensive and expensive transmission and distribution networks [1]. New opportunities provided by technological advances in reduced scale energy generation (on-site power generation) and regulatory changes have made possible the growth of the DG concept [2], leading to new challenges on power systems planning and operation due to the increased complexity of the systems resulting from DG insertions. DG plants intrinsically bring some advantages to the electricity sector, such as load relief, reduction of technical losses, diversification of energy sources, stimulation of new technologies and a higher local equalization between energy offering and demand [3]. The DG concept represents new investment perspectives to the electricity market, foments the creation of new companies and originates new jobs and careers; its growing represents a step to transform a passive customer into an active one
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