scholarly journals Dynamic economic emission dispatch using modified NSGA-II

2016 ◽  
Vol 26 (12) ◽  
pp. 2684-2698 ◽  
Author(s):  
Zhijian Zhu ◽  
Jie Wang ◽  
Mazhar H. Baloch
Keyword(s):  
Nsga Ii ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

scholarly journals Multi-Region Combined Heat and Power Economic Emission Dispatch

2020 ◽  
Vol 9 (3) ◽  
pp. 2305-2311
Keyword(s):  
Genetic Algorithm ◽  
Combined Heat And Power ◽  
Planning Problem ◽  
Fuel Cost ◽  
Nsga Ii ◽  
Strength Pareto Evolutionary Algorithm ◽  
Emission Dispatch ◽  
Nondominated Sorting ◽  
Economic Emission Dispatch ◽  
Power Economic

Multi-Region Combined Heat and Power Economic Emission Dispatch (MRCHPEED) is an important chore in operational and planning problem. The valve point impact and restricted useful zone of regular thermal generators have been contemplated. In this work, Nondominated Sorting Genetic Algorithm-II (NSGA-II) is proposed for illuminating confounded MRCHPEED problem where power and heat generations have been distributed amongst the all committed units so that fuel cost and outflow echelon have been streamlined in chorus though gratifying every single operational requirement. The research consequence of a two-region investigation framework achieved from the prescribed technique are coordinated up to those acquired from Strength Pareto Evolutionary Algorithm 2 (SPEA 2).

Multi-objective Differential Evolution for Dynamic Economic Emission Dispatch

2014 ◽  
Vol 15 (2) ◽  
pp. 141-150 ◽  
Author(s):  
M. Basu
Keyword(s):  
Differential Evolution ◽  
Test System ◽  
Nsga Ii ◽  
Multi Objective ◽  
Optimization Task ◽  
Conflicting Objectives ◽  
Sample Test ◽  
Emission Dispatch ◽  
Nondominated Sorting ◽  
Economic Emission Dispatch

Abstract Dynamic economic emission dispatch is an important optimization task in fossil fuel–based power plant operation for allocating generation among the committed units with predicted load demands over a certain period of time such that fuel cost and emission level are optimized simultaneously. It is a highly constrained dynamic multi-objective optimization problem involving conflicting objectives. This paper proposes multi-objective differential evolution for dynamic economic emission dispatch problem. Numerical results for a sample test system have been presented to demonstrate the performance of the proposed algorithm. The results obtained from the proposed algorithm are compared with those obtained from nondominated sorting genetic algorithm-II (NSGA-II).

scholarly journals Solution to the Economic Emission Dispatch Problem Using Numerical Polynomial Homotopy Continuation

Energies ◽  
2020 ◽  
Vol 13 (17) ◽  
pp. 4281
Author(s):  
Oracio I. Barbosa-Ayala ◽  
Jhon A. Montañez-Barrera ◽  
Cesar E. Damian-Ascencio ◽  
Adriana Saldaña-Robles ◽  
J. Arturo Alfaro-Ayala ◽  
...  
Keyword(s):  
Initial Point ◽  
Solution Space ◽  
Accurate Solution ◽  
Convergence Time ◽  
Homotopy Continuation ◽  
Nsga Ii ◽  
Sqp Algorithm ◽  
Good Convergence ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

The economic emission dispatch (EED) is a highly constrained nonlinear multiobjective optimization problem with a convex (or nonconvex) solution space. These characteristics and constraints make the EED a difficult problem to solve. Several approaches for a solution have been proposed, such as deterministic techniques, stochastic techniques, or a combination of both. This work presents the use of an algebraic (deterministic) technique, the numerical polynomial homotopy continuation (NPHC) method, to solve the EED problem. A comparison with the sequential quadratic programming (SQP) algorithm and the nondominated sorting genetic algorithm II (NSGA-II) is also presented. Results show that the NPHC algorithm finds all the roots (solutions) of the problem starting from any initial point and assures an accurate solution with a good convergence time. In addition, the NPHC algorithm provides a more accurate solution than the SQP algorithm and the NSGA-II.

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