| The construction of a tidiness-led,electricity-centered modern energy system is an effective way to satisfy the strategic goals of "Carbon peaking and Carbon neutrality",which complies with China’s actual national conditions,follows the law of electricity development,and takes the clean energy production and electrification of energy consumption as the direction.At the same time,it is also a strong support for promoting industrial carbon reduction,cost reduction and consumption reduction,as well as promoting the high-quality development of the industry.In line with the energy Internet of Things,the IES(Integrated Energy System)optimization scheduling technology has integrated various types of traditional energy,distributed clean energy,and demand-side resources to a certain level,taken part in the scheduling operation,and achieved coordinated planning,optimized operation and mutual assistance among energy subsystems under certain operation objectives and constraints.However,what should be pointed out is that the existing researches on IES optimization scheduling technology have difference in value orientations,model frameworks,and computing methods,which also pay attention to different optimization strategies.The problems such as the failure to comprehensively consider the factors and the failure to fully play the potential of IES.In view of the multi-region AC/DC hybrid IES,this thesis porposes an optimization scheme combining "internal collaborative control" with "external unified scheduling" for the first time.According to the scheme,it establishes the "AC/DC hybrid IES planning model" and the "Multi-region AC/DC hybrid IES multi-objective optimization model".By building a test example of a comprehensive park in Jianshan New District,Haining City,Zhejiang Province,its equipment planning and system operation scheme are formulated.The following is the concrete work:(1)For the multi-region AC/DC hybrid IES,a new optimization scheme combining "internal collaborative control" with "external unified scheduling" is proposed,the internal collaborative control takes into account the conversion and coupling optimization of cold-heat-electric-gas energy,AC-DC hybrid optimization and market-oriented operation,and the external unified scheduling includes the optimization of main network access and regional interconnect,which not only realizes the horizontal complementarity of "cold-heat-electricity-gas",but also promotes the longitudinal coordination of "source-network-load-storage".In addition,according to the building function and energy supply characteristics,four types of functional areas are divided into residential areas,office areas,commercial areas and industrial areas,and the IES comprehensive evaluation system is established from the three dimensions of environmental protection,energy efficiency and economy.(2)An AC/DC hybrid IES planning model is established and solved,which is based on the "internal collaborative control" strategy of a single IES.Firstly,the static model of each unit and conversion device in the AC/DC hybrid IES and the market-oriented operation model of the CET-GCT are established;In terms of model solving,by introducing the dynamic inertial empowerment method and the subordinate degree hierarchy value evaluation method to assign weights,the multi-objective function based on the IES comprehensive evaluation system is singled out,and the mixed integer linear programming model after segment linearization process is solved by CPLEX.;for specific cases,comparing the influence of different different CCHP(Combined Cooling,Heating and Power)and ESS(Energy Storage System)operation strategies on system operation,the results show that the CCHP mode of hybrid thermoelectric and the ESS mode of thermoelectric can optimize the system optimization goal;finally,the corresponding unit planning and configuration scheme is generated according to the load characteristics of each functional area,which provides a data basis for the subsequent optimization of IES.(3)A Multi-region AC/DC hybrid IES multi-objective optimization model is established and solved,covering the optimization strategy of "internal collaborative control" and "external unified scheduling".Firstly,the source-load bilateral uncertainty analysis was carried out,the Latin supercube sampling of the source-side normal distribution model and the Markov-chain-based wind power forecast model on the source side were carried out to generate a typical scenario of predicted data,the cold-thermal energy inertia and the ambiguity of the human body’s temperature perception were added to the demand-side response market by introducing the PMV;aiming at the interconnection between multi-region IES,a microgrid cluster optimization scheduling model that takes into account the power flow of the pipe and network is established,which introduces a virtual coordinator to decouple the connection between the cluster bus and the main network,and establishes the operation constraint of the pipe network based on convex optimization linearization technology;finally,the objective function of the inner and outer layers of the model is determined,and the optimization model is solved by the two-layer programming method of Yalmip,analysis of the operating parameters can be seen that improving the transmission limit value of the contact line and the PMV value are helpful to the margin of IES scheduling,the operation scheme of the multi-region ACDC hybrid IES reflects the pocess of various energy in generation,transportation,distribution,conversion,storage and consumption.The results show that the optimization scheme combining "internal collaborative control" with "external unified scheduling" proposed in this paper has a variety of forms of complementary and mutually beneficial dispatch margins,which makes the three indicators of environmental protection,economy and energy efficiency of the whole system increase by 74.6% and 20.28% 60.97% respectively,having a promoting effect on clean energy substitution,bilateral energy trading,demand response reform,and energy conservation. |
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