The Research On The Optimization Mode And Benefit Evaluation Mechanism For Clean Energy Absorptive Considering Demand Response

Recent years,the rapid development of China’s economy promotes sharp increase in energy demand.However,energy consumption structure dominated by fossil energy brought prominent contradictions between economy,energy and environment.Clean energy develops rapidly driven by strong policies in China.The installed capacity and grid capacity keep world-leading position.However,limited by random characteristic of clean energy and reverse distribution characteristic of energy storage and energy demand,abandoned energy problem emerged gradually.Large-scale grid-connection of clean energy has brought new challenges to stable system operation.In order to secure clean energy,reasonable reserve service are necessary.Compared with resources in generation side,as an important form in demand side,DR can guide customers to optimize their power consumption behavior,which has great theoretical and practical significance.Therefore,this paper takes clean energy as objective,analyzes the complementary effect and evaluates the optimization benefits and designs the utilization mechanism of clean energy with demand response(DR).The main contents are as follows:(1)Sorted out the research results and theories of DR and clean energy utilization,demonstratethe the feasibility and necessity of the paper.Firstly,the research status quo at home and abroad is summarized from three aspects: DR efficiency,clean energy utilization and benefit evaluation mechanism.Then,introduces the basic theory and related policies,presentes typical countries’ DR situation and gives the experience enlightenments for China.Finally,the influence mechanism of demand response to clean energy utilization is put forward from three aspects: implementation pathway,mathematical model construction and benefit calculation analysis.(2)Established clean energy generation scheduling optimization model for multi-type customers considering DR.Firstly,the terminal customers are divided into industrial customers,business customers,resident customers and electric vehicle customers.Basic strategies and economic benefit analysis model for different customers participating in DR are analyzed.Then,the maximum customers’ DR benefit is taken as objective for constructing clean energy scheduling model considering load supply and demand balance constraint,power output constraint and system reserve constraint.Finally,in order to overcome clean energy randomness,the robust stochastic theory is introduced to consturct the stochastic scheduling model.(3)Proposed the energy coordination control model for clean energy integrated micro-grid with demand response.Firstly,basic definition,structural characteristics and operation modes are introduced.Then,the distributed agent architecture is used to coordinate MG’s optimization operation.The agent basic communication and coordination model is constructed by using excitation signal.Finally,considering different MG’s functional demand levels,MGCE agent,MGCC agent and DMS agent integrated MG’s is construct energy coordination control strategy.The EU MORE MICROGRIDS project is takend as the simulation system.Example analysis shows the proposed model is reliable to optimize MG operation under different operation modes.(4)Proposed the optimziation scheduling model for clean energy integrated virtual power plant with demand response.Firstly,defined basic definition and key technology and designed the structural framework.Then,the double-layer scheduling model is established with two-stage optimization theory.The upper-model takes the predicted power as random variable under the maximum VPP profit objective.The lower-level model takes the real-time power as the implementation of random variables under the objectiv of the minimum operation cost and net load fluctuation.Finally,interms of non-neutral risk case,this paper analyzed uncertainty and established multi-objective stochastic scheduling model.Distribution power demonstration project in Guodian Yunnan is taken as the simulation system to verify the proposed model.(5)Established the optimal operation model of multi-energy complementary system with demand response.Firstly,designed the multi-complementary system driven by clean energy consisting of power subsystem,CCHP subsystem and auxiliary heating subsystem.Then,taked CCHP system driven by natural gas as contrast system,established performance index from energy,environment and economy and proposed the optimization strategy of multi-energy complementary system.Finally,the minimum system cost,the maximum carbon emission reduction rate and the highest energy efficiency are taken as the objective for multi-objective operation model.The second phase project of Guangzhou University City is taken as example object.The results show tmulti-complementary system can consider different objective requirements and utilize clean energy to meet load demand of cold,hot and electric.(6)Designed the comprehensive benefit evaluation and the implementation coordination mechanisms of demand response participating in clean energy integration absorptive.Firstly,established benefit index system from three aspects: economical benefit,environmental benefit and social benefit for demand response based on the principle of index system.Then,construct the integrated empowerment model and puts forward the theoretical material element extension evaluation model.The example analysis shows the proposed model can rank the evluation schemes.Finally,divided the implementation phrase,analyzed the implementation technology and designed the coordination mechanism under the comprehensive benefit evaluation results.