ENHANCING CASCADE RESERVOIR DISPATCHING WITH IMPROVED KIDNEY ALGORITHM

Abstract

Addressing the intricate optimization challenge of cascade reservoir dispatching, this paper introduces a novel Improved Kidney Algorithm (IKA) to overcome the limitations of traditional and heuristic methods. Traditional optimization approaches often exhibit slow convergence and high computational costs, while natural heuristic algorithms can suffer from premature convergence and suboptimal solutions. To improve the optimization effectiveness, the IKA combines a migration strategy with an initial solution of the scaling factor and an adaptive parameter adjustment mechanism. Its application to the long-term power generation scheduling of a cascade reservoir demonstrates significant improvements in multi-year average power generation and reduction of discarded water, substantiating its potential for addressing complex optimization problems.