2024年高比例新能源并网下的电力系统灵活调度报告

Zheng YanProfessorofElectrical EngineeringShanghaiJiaoTongUniversity2024-08 Contents Background 2 Intra-provincialFlexibleDispatch Inter-provincial Coordinated Optimization Conclusions and Future Work Proliferation of Renewable Energy The total installed capacity of renewable energy surges to make the penetrationlevelof renewable energyin power system increase remarkably,challengingthereliableoperationofpowersystems Market Mechanism and Power System to SupportRenewable EnergyIntegration The constructions of electricity markets and inter-provincial transmission systemsprovides the mechanism and facility for renewable energy utilization. TechnicalSolutionforPowerSystemDispatchwithRenewableEnergy Flexible Resource Coordination and Dispatchfor High-penetration Renewable Energy Integration Contents Background 2 Intra-provincialFlexibleDispatch Inter-provincial Coordinated Optimization Conclusions and FutureWork TechnicalPathofIntra-ProvincialFlexibleDispatch Support Do-not-exceed limitfor renewable energy Do-not-exceed (DNE) Limit for Renewable Energy Problem of traditional scheduling method Renewableenergyisregardedasnon-dispatchableresource. Curtailment of renewable energy is afterwards act, which affects security ofpowersystemoperations. Renewableenergyasflexibleresource DNE limit DNEisthe maximum range of renewable energythat canbe accommodatedbythe power grid under security constraints. Renewable Energyis curtailed according DNE,which guarantees the securityofpowersystemoperations FlexibleDispatchwithDNE Mathematical formulaof DNE the safe operation ofpower systems can be guaranteed through power system dispatch. FlexibleDispatchwithDNE ObjectivefunctionofDispatchproblemwithDNE Pre-dispatch costs Probability of renewable energy utilization, multiplied with weight coefficient d Chance Constraint to evaluate the probability of renewable energy utilization Themaximumnewenergyoutput rangethatthesystemcanalwaysensuresafeoperationthroughredispatchandothermeasures. Renewable energy utilization probability variable a Balancerenewableenergyaccommodationanddispatchcostsofsystem,byadjusting the weight coefficient S ExampleAnalysis Relationship between operating cost and upperand lower bounds of DNE Upper and lower bounds of DNE indicate the admissible ranges of renewable energy The admissible range of renewable energy increases with the increasing operatingcosts,whichmeansthatmore powerresources are scheduled to enhance theaccommodationcapabilityof renewableenergy. ExampleAnalysis Comparison with different methods IDNE: Joint optimization ofpowersystemdispatchandDNEviaDistributionallyRobustOptimization ODNE+DRCC: Separateoptimization of power systemdispatch and DNEviadistributionally robustoptimization ODNE:Jointoptimizationofpowersystemdispatchand DNE via robustoptimization Robustoptimization(ODNEmethod)givesconservativeDNE. The joint optimization of power system dispatch and DNE (IDNE method)offers the ExampleAnalysis Comparisonwithdifferentmethods IDNE: Joint optimization ofpower systemdispatchandDNE via distributionally robustoptimization ODNE+DRCC: Separateoptimization of powersystem dispatchand DNEviadistributionally robustoptimization ODNE:Jointoptimizationofpowersystemdispatchand DNEvia robustoptimization that the confidence level of renewable energy utilization is always larger than 95% ExampleAnalysis Comparisonwithdifferentmethods Monte Carlo simulations are performed to evaluate the power system operationalperformances under dispatch strategies obtained by different methods. IDNE has reduced system operating costs and the amount of renewable energycurtailment and load shedding TechnicalPathofIntra-ProvincialFlexibleDispatch Support Flexible RampingProduct Insufficient ramping capability Safety issue Economyissue X Waste of power resources due torenewable energy curtailmentX Increasing operating costs due toshortageof power supply X Difficult to follow net load variation× Renewable energy curtailment andload shedding Flexible Rampingproducts FlexibleRampingProduct and OtherAuxiliaryServices Flexible Ramping Product Scheduling Method1:OptimizationofFlexibleRampingProduct(OFRP) A scheduling model for joint optimization of energy dispatch and ramping constraintOnly considering the total ramping demand while neglecting its intra-day scheduling FlexibleRampingProductScheduling Method2:Distributionallyrobustoptimizationof FlexibleRampingProduct(DRFRP):Modeling of day-ahead and intra-day scheduling Objectivefunctionof day-ahead and intra-day scheduling Pre-dispatch costs Objectivefunctionof intra-dayscheduling ExampleAnalysis Comparison between different scheduling methods DRFRP:Flexible ramping reserve isdeterminedbysimulatingintra-dayoperation. OFRP:Flexibleramping reserveisdeterminedto satisfythetotalrampingdemand. TotalrampingreservesaresimilarRampingreservesofeachunitaredifferent ExampleAnalysis Comparison between different