Short-Term Hydro Generation Scheduling of the Three Gorges Hydropower Station Using Improver Binary-coded Whale Optimization Algorithm

The short-term hydropower generation scheduling (STHGS) is a complicated problem in the utilization of and water resources. An improved binary-coded whale optimization algorithm (IBWOA) proposed this paper to solve complex nonlinear problem. STHGS divided into unit combination (UC) subproblem economic load distribution (ELD) subproblem. For UC subproblem, we use sigmoid function (SF) generate binary array representing start/stop state unit. algorithm's search mechanism optimized, inertia weight perturbation variation strategy are introduced improve ability. Each solution optimized by repairing minimum uptime/downtime constraint spinning reserve capacity constraint. ELD optimal stable table (OSLDT) used distribute quickly. Mutation Locally balanced dynamic compensate for non-convex problems caused start-stop constraints methods. Finally, proposal applied Three Gorges Hydropower Station. When head 75 m,88 m, 107 consumption calculated IBWOA 1,058,323,464 m3, 892,524,696 745,272,216 respectively. Compared with traditional algorithm, IBOWA corresponding 88 m heads reduced 0.76%, 0.26%, 0.05%, comparison between other heuristic algorithms shows that has good feasibility high accuracy.