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NON-CONVEX ECONOMIC LOAD DISPATCH PROBLEMS USING NOVEL BAT ALGORITHM

In this paper a novel bat algorithm (NBA) is proposed for solving non-convex economic load dispatch (ELD) problems so as to minimize the total generation cost when considering the linear and non linear constraints. The proposed algorithm combines the bats’ habitat selection and their self-adaptive compensation for Doppler effects in echoes into the basic bat algorithm (BA). The selection of bats’ habitat is modeled as the selection between their quantum behaviors and mechanical behaviors. Many nonlinear characteristics of the power generators and practical constraints, such as power loss, ramp rate limits, prohibited operating zones and valve-point effects, are considered. The effectiveness and feasibility of the proposed method are demonstrated by two real power systems and compared with other optimization algorithms reported in literature.