** Authors:**
CELAL YAŞAR

** Abstract: **
In this study, an environmental economic active power
dispatch problem is transformed into an optimization problem with a
single-objective function by applying the weighted sum method (WSM)
and the conic scalarization method (CSM). A pseudo spot price of
electricity algorithm (PSPA) is used to solve the transformed problem. This is demonstrated on an example problem, which is a lossy
electrical power system having only thermal units
The WSM and CSM methods are applied to the example problem, and the
weight factor values of these methods is increased from 0 to 1 by a
step size of 0.1. For each possible value of the coefficient, a
different total generation cost rate that is to be minimized is
obtained, and an optimal solution is also calculated for it (Pareto
optimal solutions). Solutions obtained from both methods are not onlycompared with each other, but also compared with other solutions
obtained using different methods such as the first order gradient
method, the lambda iteration method, nonlinear programming, linear
programming, and fuzzy linear programming.
In this study, the CSM is used for the first time in the
transformation of an environmental economic active power dispatch
problem into a single-objective optimization problem. Thus, it is
shown that the PSPA can also be used in the solution of the
environmental economic power dispatch problem.

** Keywords: **
Environmental economic active power dispatch, pseudo spot
price of electricity algorithm, Pareto optimal solutions, weighted sumscalarization, conic scalarization

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