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The basic objective of economic dispatch of electric power generation is to schedule the committed generating unit outputs so as to meet the load demand at minimum operating cost while satisfying all unit and system equality and inequality constraints. Due to increasing concern over the environmental considerations, society demands adequate and secure electricity not only at the cheapest possible...
In this paper, a novel approach is proposed to solve the day-ahead multi-objective thermal generation scheduling problem. The proposed method combines the principles of Non-dominated Sorting Genetic Algorithm-II (NSGA-II) with problem specific crossover and mutation operators. Heuristics are used in the initial population by seeding the random population with a Priority list based solution for better...
After blackout, power system reconstruction is a multiobjective optimization problem, especially for parallel restoration through power system partitioning. It includes optimal system partitioning strategy, units optimal starting-up sequence, time requirements for system reconstruction. A constrained multiobjective optimization model is proposed for power system reconstruction. Fast and elitist non-dominated...
This paper proposes an efficient multi-objective memetic algorithm for distribution network expansion planning (DNEP). It may be expressed as a complex multi-objective optimization problem as well as combinatorial optimization one. Recently, deregulated and competitive power markets brought about the uncertainty of distribution systems. There are correlations between the nodal specific values. A Monte-Carlo-simulation-based...
Multi-objective optimization problems (MOPs) in real world are often constrained optimization problems. So test problems to evaluate multi-objective optimization evolutionary algorithms (MOEAs) should have some constraints in order to simulate real-world problems. In this paper, a well understood and tunable constrained test problems generator is suggested. By setting parameters in the constraint...
In this paper, a novel multiobjective genetic algorithm approach for economic emission load dispatch (EELD) optimization problem is presented. TheEELD problem is formulated as a nonlinear constrained multiobjective optimization problem with both equality and inequality constraints. A new optimization algorithm which is based on concept of co-evolution and repair algorithm for handling nonlinear constraints...
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