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A New Intelligence Solution for Power System Economic Load Dispatch - lohitha_myneni - 10-04-2017 A New Intelligence Solution for Power System Economic Load Dispatch [attachment=17463] INTRODUCTION ECONOMIC load dispatch (ELD) is an important task in the modern Energy Management System (EMS), which aims to allocate power generation to match load demand at minimal possible cost while satisfying all the power units and system constraints [1]. Small improvements in the unit output scheduling can contribute to significant cost savings. Furthermore, it provides useful information to fix market clearing prices in deregulated power system. In the past different approaches, including linear programming and nonlinear programming are applied to ELD. Main drawback of linear programming methods is that they are associated with the piecewise linear cost approximation although they are fast and reliable. The nonlinear programming approaches like sequential quadratic programming [15] have a problem of complexity. GRAVITATIONAL SEARCH ALGORITHM Traditional optimization methods such as those described in references [8] are by far the most common optimization tools used in the industry. However, these techniques can encounter some difficulties such as getting trapped in local minima, increasing computational complexity, and being not applicable to certain objective functions. This calls for developing a new class of solution methods that can overcome these limitations. Heuristic optimization techniques are fast nascent tools that can overcome most of the shortcomings found in derivative-based techniques. SIMULATION RESULTS AND DISCUSSION The GSA and other programs were written using MATLAB 7.0 and simulations were performed utilizing Intel desktop with dual core processor. Extensive testing was conducted to tune the parameters of the presented algorithms in order to reach acceptable convergence characteristics. The selected tuned parameters are: CONCLUSION Gravitational search intelligence technique to solve economic load dispatch problem with valve point loading and Kron s transmission loss has been successfully implemented and investigated. The simulation results reveal that in small and medium search space like 3 and 6 unit systems, GSA outperforms PSO, DE, GA and SQP approaches. Performance of GS intelligence tool starts deteriorating when applied to handle large search space problems like 13 and 40 unit systems because of pre-convergence of movement of masses in artificial world. |