Abstract
The objective of dispatching generating units in electrical power supply system is to compute an optimal generation schedule to minimize the cost without violating the operating limits. Earlier, this problem comprised mainly of fossil fuel generating units. Now, the system complexity increases due to the widespread involvement of large number of renewable distributed energy resources (DERs) which are random, uncertain and introduce discrete variables in the objective function. This chapter presents a static and dynamic optimal scheduling model for a microgrid comprising of diesel generators (DG), microturbine (Mt), wind turbine and solar photovoltaic (PV) plant. A mixed-integer differential evolution (MIDE) algorithm with continuous as well as binary variables is used to solve the optimal dispatch problem with various equality, inequality and binding dynamic constraints. The developed model is tested on a modified five DER microgrid, and its performance is validated by using binary PSO and existing results from the literature.
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Shukla, S., Pandit, M. (2020). Mixed-Integer Differential Evolution Algorithm for Optimal Static/Dynamic Scheduling of a Microgrid with Mixed Generation. In: Pandit, M., Dubey, H., Bansal, J. (eds) Nature Inspired Optimization for Electrical Power System. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-4004-2_7
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DOI: https://doi.org/10.1007/978-981-15-4004-2_7
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