摘要

This paper presents a novel and efficient optimization approach based on modified seeker optimization (MSO) technique for solving the economic dispatch (ED) problem with smooth and non-smooth cost functions. The conventional approaches often fail to find the global optimum due to increase in complexity of the problem while considering the practical operational constraints like ramp rate limit, prohibited operating zones and the valve point loading of the thermal generators.
The proposed Modified Seeker Optimization (MSO) approach employs a narrowing step-length strategy to improve its exploitative nature, as the search proceeds. The variable step-length makes the algorithm explorative in nature initially and later makes the local search capability more aggressive. To show the efficiency and effectiveness, the proposed MSO is applied to different types of ED problems with smooth and non-smooth fuel cost functions. Firstly, four test systems consisting of 6, 15, 40 and 110 generating units with ramp rate limits, prohibited operating zones and valve-point loading effects are considered separately. Secondly, a test system of 10 units is taken with multiple fuels. The experimental results show that the proposed MSO approach gives better solutions when compared with previous approaches.

  • 出版日期2012-12