Renewable Energy Consumption Oriented Load Situation Awareness And Control Strategy Research

The access of large-scale renewable energy on supply side and adjustment of energy consumption structure on demand side are the inevitable trend of energy development.With the general substitution from low-energy-efficient polluting equipments to high-energy-efficient and informative electric loads and the development of supporting technology on intelligent power consumption,aggregated management of load resources has become an effective means to absorb renewable energy and stabilize fluctuation.In the current development process,the high cost of electric substitution result in a great resistance to its promotion.Therefore,promoting the adjustment of energy structure,the key requirement is to seek a suitable development roadmap and further mine the available potential of load resources to enhance its effectiveness in the supply-demand balance regulation and ancillary services.Aimming at above-mentioned requirements,this paper mainly explores the multi-balanced demand side energy structure transformation mode and its supporting technology hierarchy,futhermore,taking thermostatically controlled load(TCLs)as the main object,puts forward corresponding optimization solutions from the aspects of model optimization,situation awareness and optimal load control,in order to realize the rational development and utilization of demand-side load resources.In view of the implement difficulty of demand side energy substitution and structure adjustment,the technology concept of "Internet plus" is introduced to propose the "Internet plus" electric energy substitution development mode,which takes the load aggregator with the ability to trade electricity as main role.Via utilizing the development environment provided by the electricity retail market reform and taking the demand of renewable energy and power grid regulation into consideration,the multi-income balanced sustainable development is realized with the utilization of incremental and highly aggregated load resources.Besides,facing the increasingly diversified and refined needs in the analysis and regulation of load resources,the technical concept of load situation is put forward as well as its ontology description.The absolute state and relative change of load are described by static and dynamic situation respectively,to elaborate a more comprehensive and systematic description model of load control capability based on multi-dimensional state information.Then,the technical framework of load situation awareness and its application prospects in typical scenarios are sorted out,and the key supporting technology requirements for its implementation are defined,which provides a directional reference for demand-side resource management and control.Aiming at the influence of user behavior and temperature boundary state on modeling of TCLs under discrete control mode,an optimization model considering user behavior and discrete control deviation is proposed.Based on the widely used Equivalent Thermal Parameters(ETP)model,user behavior is divided into direct actions and additive actions according to the difference of influence effect.Since the additive behavior cannot be reflected in the ETP model,an unexpected deviation will be caused.So we clarify the influence relationship through the theoretical deduction of thermodynamics taking the water-using behavior of water heater as a typical example,and then the behavior item is introduced into the model to improve the accuracy of TCLs model in describing the actual state.In addition,the critical temperature effect is proposed to illustrate the possible operation deviation caused by TCL under the temperature boundary state,and the principle and influencing factors are elaborated.Based on the principle analysis,the discrete control deviation correction factor is involved into the model.The experimental results show that the optimized model of TCL can effectively track the actual operation state.Combining the influence analysis and model optimization of user behavior and discrete control deviation,the proposed optimization model improves the accuracy of model expression,and provides a more credible model basis for related research work.Considering the learning,analyzing and deducing demand of load dynamic operation characteristics in the process of load situational awareness,the technical concept of AI Agent is introduced in the user side.Based on the classified models of typical households load,considering the difference between actual users' loads,the basic model and parameter recognization are realized through the self-learning calculating process.On this basis,The temporal feature expanded Random Forest is presented to analyze load behavior.By aggregating loads into sets with different spatial distribution,combined with time-domain extended feature,a feature matrix considering the temporal series relevance and spatial loads' correlation is established.Moreover,the corresponding matrix straightening calculation and mapping processing are also introduced to deal with the calculation difference in randon forest algorithl,to realize the accurate prediction and analysis of load operation behavior.Additionally,we put forward the dynamic analyzing method of user behavior and the load controllability,which provides an effective scheme for load group situation awareness and theoretical support for subsequent control implementation.Aiming at the influence of heterogeneity and the requirement of accuracy in the process of TCLs regulation,a control strategy for heterogeneous TCLs(HTCLs)is proposed,which consists a cooperated HTCLs control method based on collaborative optimization and a joint alternative based on generalization index corresponding to different load group composition and control modes of centralized and independent control architecture respectively.The former achieves task decomposition and collaboration among HTCLs based on the analysis results of controllable capability,and proposes load situation indicators considering controllable power margin,adjustable temperature margin and adjustable time margin for isomorphic load control within load groups to achieve precise control;the latter considers the evaluation barrier between horizontal crossover heterogeneous loads of unified platform with joint control mode,and further generalizes the load situation into a common expression including energy and time dimensions.Via the analysis and quantitative calculation of proposed general situation index,the joint regulation between heterogeneous loads can be realized.Futhermore,the effectiveness of the proposed method is verified by simulation,providing a reference for the precise control of HTCL groups.