Abstract
Comparing with large power grid, micro-grid is quite different in operation method, energy strategy, power source type, load characteristics, power quality constraints and so on. These make its environmental economic dispatch technically difficult. Based on the improved linearly decreasing weight particle swarm optimization, this paper makes an exploratory study on the environmental economic dispatch of a simplified micro-grid which consists of photovoltaic generation, wind turbine, micro gas turbine, fuel cell, battery and electric loads. A mathematical model is built, which includes fuel cost, operation cost, maintenance cost and emission cost. Given several related constraint conditions, the model could be effectively solved by the improved WPSO. Different objective functions were carried out by computer simulation in three energy management operation policies between micro-grid and large power grid. The results showed the improved algorithm were theoretically correct and practically feasible.
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© 2014 Springer International Publishing Switzerland
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Han, G., Xia, Y., Min, W. (2014). Micro-grid Environmental Economic Dispatch Using Improved Linearly Decreasing Weight Particle Swarm Optimization. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_54
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DOI: https://doi.org/10.1007/978-3-319-01273-5_54
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