An Optimal Solution to Unit Commitment Problem in Distributed Generation System
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Abstract
In the recent past, in the field of electricity markets, the utilization of renewable
newlineenergy is developing due to governmental subsidies. This greatly influences the
newlineoperation planning of power plants, focusing especially when tending the unit
newlinecommitment problem (UCP) with its high volatile generation. In electric power
newlinesystem operations, the UCP is crucial. To meet the need, subject to equipment, and
newlinephysical constraints it looks for an operating plan for a system of generating units
newlineover a multi-period finite horizon. A photovoltaic cell, battery storage system with
newlinemicro grid system of an optimal day-ahead scheduling model, and a wind turbine is
newlineutilized. To represent little properties in the low voltage distribution network of micro
newlinegrids the power flow constraints are made known in the scheduling model. To
newlineenhance the electric power system operation with a key is BESS in the electric grid
newlinewith a high point of wind penetration. By utilizing multiple optimization functions the
newlineobjective of the problem will be solved. The constraints will be intended to bring
newlineabout the solution of the problem by the utilization of a Squirrel Search Algorithm
newline(SSA) such as spinning reserve, power balance, and minimum up and downtime, real
newlinepower operating limits, emission, etc. The efficiency of the solution will be enhanced
newlineand the solution complexity of the problem will be shortened.
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