ABSTRACT

An information system known as Decision Support System (DSS) is on the basis of
computer interaction to support the making of decisions in planning, operations for
usage of power, management, organization and business. Decision making is dynamic and
the rapid changes cannot be identified easily but can have assistance from computer and
communication technologies by the compilation of information obtained over a wide range of
resources such as raw data, the knowledge and experience of the experts and documents. The
initial concept of the decision support originated from a decision making abstract study
at the Carnegie Institute of Technology and Technical Practice. This was on the basis of
computer system interaction at Massachusetts Institute of Technology in the 1960s.
Around the 70s, decision support began to expand in academia and around that time,
the first paper featured in a journal and at a conference. The Chinese introduced the
DSSs in the 80s. The applications of the DSS in the early 90s had broaden into various
areas via warehousing of data and online DSS applications are spread into different
areas through data warehousing and online logical processes. Of late, with the evolving
of cloud computing technology, DSS on the basis of cloud computing technology was
suggested. Ever since the development of DSS over the last 30 years or so, there are at
least 20 techniques of implementing the decision support system. It is hard to
differentiate which one is the best principal for solving decision making challenges
because for the most part, the suggested DSS are project-oriented. There is a lot of
technical aspects in which DSS has been involved such as electricity, transport and
many others like dispatch of resources. A lot of advanced technologies, creative
architectures, and paperback algorithms have been deployed into the existing electrical
power systems for improved energy efficiency and accomplish resource allocation
optimization and ultimately make the grid “smart”.The smart grid implementation is a
gradual process to substitute the conventional power systems’ elements built on the
basis of existing systems and building brand new systems which would be very costly.
Smart grid planning involves not only the consideration of these creative technologies but also
respecting the interest of all the stakeholders involved. Decision making requires to be
executed to analyze each smart grid component and its cost before investment and
consequently deploying into the real grid.
Keywords: Implementation of Smart Grid Decision Support Systems