Research On Energy-Saving Scheduling For Elevator Group Control System

Elevator Group Control System (EGCS) is an important part of intelligentbuilding. In EGCS, group controller with scheduling algorithm schedules and controlsthe operation of each elevator in group integrally, with the objective of improvingtransportation and reducing dispatching price. The core of group system is schedulingmethod. Energy-saving scheduling is a future development trend of EGCS, researchon energy-oriented scheduling methods has profound significance, however, existingachievements of energy scheduling methods are rather seldom. According to theproblem of energy-saving elevator dispatching, multiple energy-saving schedulingmethods for EGCS are proposed. Specifically, the following aspects are studied.1. According to the problem the energy comsumption objective function of EGCSis hard to be established, the energy functions of traditional elevator group andregenerative elevator group are built separately, for the purpose of providingenergy-saving optimization objective for optimization-based group control schedulingmethods, and guiding energy-saving dispatching.2. According to the scheduling under certain elevator traffic flows detected byflow recognition devices, rule-based and optimization-based universal schedulingmethods are proposed, Energy Dispatching Rules method (EDR) and EnergyDynamic Zoning method (EDZ). Based on the certain passenger number information,EDR schedules each elevator operation by up-calling and down-calling energy-savingdispatching logic rules; EDZ adjusts zones by zoning adjustment energy function, andreduces system consumption.3. According to the scheduling under uncertain traffic flows without recognitionby devices, two optimization-based scheduling methods are proposed, Up-peakEnergy Optimization method (UEO) and Multi-Traffic Energy method (MTE) forregenerative EGCS. Robust Optimization (RO) based on model is immune to thetraffic uncertainty. For UEO, peak scheduling model with up-peak energy objectivefunction is built, the coupling relationship between energy and time schedulingperformances is considered in the model. UEO chooses least but enough numberelevators to transport passengers, and keeps the passenger waiting time performanceacceptable. For MTE, four scheduling models are built for four traffic patternsrespectively, including up-peak, down-peak, random inter-floor and night pattern, and model fast solving method based on intelligent ant colony algorithm is studied. Fourscheduling models are switched according to real time traffic in scheduling, andenergy-saving optimal dispatching under all patterns is achieved.4. On the basis of four energy-saving scheduling methods proposed, furthermore,from the point of power supply, hybrid power group elevator system with multienergy is established, dual energy-saving scheduling optimization method is builtbased on the system. Elevator scheduling and power supply scheduling are bothoptimized, the problem of energy consumption of EGCS are solved completely.Simulation results illustrate the validity of the scheduling methods proposedbased on the energy-saving EGCS simulation platform. In practice, choose suitableenergy-saving scheduling methods according to configuration and requirements ofbuilding and EGCS, and energy-saving optimal elevator scheduling is achieved.