Application of Artificial Intelligence-Based Solution Methodology in Generation Scheduling Problem

Artificial Intelligence and its applications in Renewable Integrated Power Systems

“…The database of multiple generating units in a micro-grid are optimized to achieve unit commitment and economic dispatch. Economic dispatch reduces the need for additional unloaded reserve capacity in the power grid [35], [36]. Hence, optimization of generation scheduling is one of the most important optimization problems for the optimal planning and control, considering various operational constraints at a minimum operating cost.…”

“…In this work, the controller is formulated on stochastic dynamic programming-based optimization technique using deep LSTM method, to reduce the purchase cost of electricity. In [36] and [37], an AI based solution is given for generation scheduling problem by modifying particle swam optimization technique for the convoluted nonlinear optimization problem in a micro grid system, aiming to minimize the cost paid by the customers.…”