An Environment Friendly Energy-Saving Dispatch Using Mixed Integer Linear Programming Relaxation in the Smart Grid with Renewable Energy Sources
DOI:
https://doi.org/10.13052/dgaej2156-3306.37414Keywords:
Energy storage, renewable energy source, optimization, pareto optimization, integer linear programming.Abstract
Electrical energy demand has risen over the world which results in development
of smart grid. Smart grid has identified the areas that requires
improvement. Because of the focus on cost-effective operation as well as
environmental concerns in the electrical power system, the complexity of
the optimization function has increased. In this study, a new energy-saving dispatch model is developed, which takes into account renewable energy
sources in the smart grid as well as dynamic generation-load interaction.
Moreover, the active demand response idea is employed for interruptible
loads during peak demand. During off-peak load periods and compensating
loads, the proposed energy-saving dispatch system operates on a bi-level
dispatch system. Lower level dispatch works with four dispatch functions
such as interruptible load cost, compensation load cost, renewable energy
source cost, and emission saving cost. Whereas, upper level dispatch deals
with cost functions for operation and emission. Renewable energy sources are
represented as a generating unit as well as a load based on usage in this work.
Linear programming relaxation and mixed integer linear programming relaxation
methodologies are used to solve the constrained optimization problem.
The outcomes of the experiments were compared with existing methodologies
such as the classic NSGA-II and the improved NSGA-II. Furthermore,
the algorithm’s time complexity was examined. The proposed solution has
been implemented using the IEEE-30 bus standard. The performance results
demonstrate considerable reductions in operating costs as well as reductions
in emissions.
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