| China has become a large country of clean energy,and the installed capacity of wind power and photovoltaic power is ranked the first in the world.However,influenced by many factors,the ability,efficiency and efficiency of clean energy generation in China are worse than that in developed countries,and the more serious abandonment has occurred.With the intensification of the phenomenon of energy abandoning in China,it is the focus of the whole society to solve the problem by coordinating and optimizing the consumption of clean energy.Energy storage can effectively improve the flexibility of system operation and reduce the adverse effects of wind power and photovoltaic power generation through the principle of low storage and high output.The energy technology revolution innovation action plan(2016-2030),which is published at present,takes energy storage as an important means to solve the problem of clean energy consumption,and has promoted it to the national energy strategy as an important technical means to solve the problem of abandoning the wind and abandoning the energy.The plan proposes research the energy storage technologies for clean energy grid connected,micro-grid,demand side response advanced.Energy storage has become an important part of the clean energy consumption value chain.Therefore,in order to solve the problem of discarding clean energy and promoting the value chain of clean energy consumption based on the basis of existing theoretical results,this paper attempts to study the collaborative optimization of clean energy consumption value chain considering energy storage.The specific research contents are as follows:(1)An optimal planning plan for energy storage to participate in the clean energy consumption value chain is analyzed and designed.First,this paper analyzes the clean energy consumption forms,relationship with smart grid value chain intension and defines the connotation of clean energy consumption value chain.Then,according to the function and action mode of energy storage in the clean energy consumption,this paper presents energy storage as the research object of clean energy consumptive value chain optimization.Finally,using the system theory,this paper designed the planning scheme for clean energy consumptive value chain optimization considering energy storage.(2)The optimization model of clean energy consumption considering energy storage is established in generation side.First of all,on the basis of analyzing the operation mode of energy storage to participate in the clean energy dissipation of power generation side,the utility of the value of energy storage in the generation side is mainly manifested in two aspects of generating unit power generation scheduling and multi power unit planning,which lays the foundation for the development of follow-up research.Then,in view of generating units scheduling and multiple power units planning,the optimization model of day-ahead double dispatching and power planning considering energy storage are constructed respectively.Finally,in order to overcome the local optimal problem in the process of solving the model,chaos binary improved particle swarm optimization algorithm is introduced.Through the simulation of multi scenario simulation,the model is verified.(3)The optimization model of clean energy consumption considering energy storage is constructed in grid side.First,the value realization process of energy storage in power grid side is analyzed,including two aspects:large power grid capacity configuration and"source-network-load" coordination optimization.Then,based on the analysis of the output power characteristics of different types of power supply,a dynamic planning optimization model of large power grid capacity is established under the synergy of energy storage,Direct Load Control(DLC)and dynamic time-sharing electricity price strategy.Then,a multi energy coupling system structure is established,and the complementary ratio of all kinds of power sources in the system is determined by designing complementary characteristic evaluation index.On this basis,this paper constructs a multi energy complementary synergistic optimization model containing clean energy coupling system.Finally,the simulation example is used to solve the model.The results show that after the energy storage is introduced on the power grid side,the power unit can meet the power load of each time without depth peak regulation,thus effectively improving the system's peak regulating ability and providing a new idea for the clean energy consumption on the power grid side.(4)The optimization model of clean energy consumption considering energy storage is built in user side.First,based on the characteristics of the park micro-grid operation mode,combining the two time scales of planning and running,introducing the robust theory to describe the uncertainty of the micro-grid operation in the park,a two-layer robust programming optimization model of the user side park microgrid under different operating modes is proposed.Then,in order to give full play to the self-value of the distributed power supply,the virtual power plant is integrated with the integrated energy storage,distributed generation supply and demand response,and a two-layer scheduling optimization model of virtual power plant is constructed.Finally,the model is analyzed by an example.The results show that the proposed two-layer robust programming model can not only improve the PV grid permeability,increase the comprehensive benefit of the life cycle of the whole micro-grid,but also improve the DG access ability.In addition,the virtual power plant can give full play to the synergistic optimization effect of the energy storage system and the demand side response,maximizing the distribution of the distributed clean energy,while taking into account the system operating cost,the cost of discarding energy and the VPP revenue.(5)The architecture of the intelligent center of energy storage cooperative decision based on cloud computing is designed.It can provide a public platform for information interaction,information sharing and collaborative decision-making among the various entities in the value chain of clean energy generation.It plays an effective role in information synergy and promotes the healthy development of clean energy industry.First,on the basis of the analysis of the problems faced by the energy storage cooperative decision,the idea of building ESIC is put forward.Then,the architecture of ESIC and the collaborative decision-making process of the system are analyzed.Finally,in order to realize information sharing and information integration on the optimization of clean energy consumption considering,this paper constructs the model base,method library,database and functional framework of ESIC. |
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