A Modified Imperialist Competitive Algorithm For Combined Heat and Power Dispatch

In this paper, a new approach based on imperialist competitive algorithm (ica) has been proposed to solve the combined heat and power economic dispatch (chped) problem. in order to avoid trapping in local optimum and improve the solution quality of the original ica, a new assimilation policy has been addressed with varying coefficients during iterations. chped problem is a nonconvex and nonlinear optimization problem which has various constraints. unlike previous methods, valve point effects are considered in some case studies and the effect of valvepoint in cost function considered with adding an absolute sinusoidal term to conventional polynomial cost function. to evaluate the effectiveness of the proposed method, three different test cases with small, medium and large scales have been applied to investigate the performance of the proposed method on the chped problems. each case study is including different test systems. numerical results demonstrate the superiority of the proposed framework and reveal that mica can find better solutions in comparing with the other methods.

A modified imperialist competitive algorithm for combined heat and power dispatch

In this paper, a new approach based on imperialist competitive algorithm (ICA) has been proposed to solve the combined heat and power economic dispatch (CHPED) problem. In order to avoid trapping in local optimum and improve the solution quality of the original ICA, a new assimilation policy has been addressed with varying coefficients during iterations. CHPED problem is a nonconvex and nonlinear optimization problem which has various constraints. Unlike previous methods, valve point effects are considered in some case studies and the effect of valvepoint in cost function considered with adding an absolute sinusoidal term to conventional polynomial cost function. To evaluate the effectiveness of the proposed method, three different test cases with small, medium and large scales have been applied to investigate the performance of the proposed method on the CHPED problems. Each case study is including different test systems. Numerical results demonstrate the superiority of the proposed framework and reveal that MICA can find better solutions in comparing with the other methods.   Keywords: