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    1 - Combined Economic and Emission Dispatch Solution Using Exchange Market Algorithm
    International Journal of Smart Electrical Engineering , Issue 2 , Year , Spring 2016
    This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence More
    This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence of two seeking operators in EMA provides a high ability in exploiting global optimum point. In order to show the capabilities of EMA in solving CEED problem, several experimentations are conducted on systems with 6, 10, and 40 generation units applying valve-point effects and network power losses in a multi objective function consists of system fuel cost and emission level. The obtained results are compared with other advanced techniques such as Strength Pareto evolutionary algorithm, non-dominating sorting genetic algorithm II, multi objective evolutionary algorithm, fuzzy clustering-based particle swarm optimization, multi objective differential evolution, gravitational search algorithm, modified bacterial foraging algorithm, etc. The results well demonstrate the practical advantage of the exchange market algorithm over the other approaches. Manuscript profile

  • Article

    2 - Per Unit Coding for Combined Economic Emission Load Dispatch using Smart Algorithms
    International Journal of Smart Electrical Engineering , Issue 1 , Year , Winter 2016
    This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each fu More
    This paper proposes per unit coding for combined economic emission load dispatch problem. In the proposed coding, it is possible to apply the percent effects of elements in any number and with high accuracy in objective function. In the proposed per unit coding, each function is transformed into per unit form based on its own maximum value and has a value from 0 to 1. In this paper, particle swarm optimization is used for solving economic emission load dispatch problem. In order to show the advantages of the proposed method, 25 independent case studies are conducted on systems holding three and six power units with different influence percentages of each function are investigated. The obtained results are compared with those of other methods such as Biogeography Based Optimization, Tabu Search, NSGA-II and etc. The obtained results properly show the superiority of the proposed method to combine economic emission dispatch problem over the penalty factor technique and other conventional combined approaches. Manuscript profile