| Wind power has rapid development in recent years under the requirement of dealing with energy crisis and environment problems.High penetration of wind power poses great challenges on power system operation due to its uncertainly and intermittency.The issue of wind power integration is increasingly serious.Demand response management is the product of the smart grid.Under the current situation of transmission development is not mature,considering from demand side to solve wind power consumption is becoming an important way.This paper mainly around two problems,one is environment problem,just as carbon emission reduction,considering two types of flexible load,comprehensive low carbon efficiency concept is put forward;the other is wind power consumption problem,on the other word,reduce the “wind abandon”.According to the robust stochastic optimization theory to solve the uncertainty of the wind,introducing auxiliary variables and wind power constraint error coefficient to strengthen the constraint.Considering 4 types of load and 2 types of DR(PBDR and IBDR),simulating 4 scenarios,focus on 4 types of load's ability to consume wind power,optimizing the structure of thermal power unit,the down and up reserve capacity.The mainly work is as follows:1)Analysis the existing DSM resource,researching the overview of demand response,electric vehicle charging and discharging model,researching the way to reduce carbon emission,researching each types of load's ability to consume wind power.2)Analysis the feasibility of demand side resources to participate in power grid scheduling,considering the difficult taken by wind uncertainty,establishing a comprehensive low carbon efficiency model based on classified flexible load.3)Establishing considering multi-type user demand response to consumption wind power model,in order to profit maximization as the goal,introducing the robust optimization theory and wind power error factor to reduce influence taken by wind power uncertainty. |
PDF Full Text Request