Research On Demand-side Resources Management And Control Based On Multi-agent System

Issues about energy and environment have been increasingly concerned.At the same time,making effective and rational use of energy,carrying on energy conservation and seeking to sustainable development have become a community consensus.Among them,it is an important measure to solve the energy demand that through increasing the efficiency of renewable energy connected to power grid.However,in the process of the large-scale utilization of wind power,solar power and other renewable energy,our country mainly schedules a large number of fossil energy units in supply side to provide backup services for the renewable energy units,but the schedules only focus on supply side and power network planning while ignoring the development and utilization of demand side resources.Moreover,renewable energy has some characteristics,such as intermittent and volatility.This results in low efficiency of matches in demand and supply,and results in energy demand's instability.Therefore,the study of demand side management and control has important theoretical and practical significance,and it will promote the development of new energy.Studies have already laid the foundation for the energy-saving technology of demand side management and control.The current studies mainly focus on the technology and benefit of demand side management,and studies related to demand side management and control are mostly in conceptual level while intelligent systems development is also relatively rare.Based on the existing achievements at home and abroad,this paper goes further to explore renewable energy and low carbon technologies of demand side management and control,and it takes small-scale energy systems as the research object to carry on the systematical study and aims to provide a basis for analysis and decision-making related to the subject.First,go on the study of theory and technical platforms of demand side management and control.At the beginning,discuss the concepts,classification and response signal of demand side management and control,and mainly focus on the resource characteristics of demand side,and explains the basic economic theory of power demand;next,descript electricity terminal characteristics and related techniques of demand side management;finally,combine the current research and practice of the smart grid technology,focus on energy management systems and MERIT software systems to provide reference for system development and design of the demand side.Second,propose bottom-up algorithms of demand side management and control.At the beginning,from the perspective of decision-makers,develop the algorithms of demand side management and control in strategic level,including load transfer and demand side management and control.Then clear the optimal load position,quantify the energy input,output and environmental impact,determine the maximum shared area of the supply and demand curves of renewable energy and specify load's priority,control method and duration.Next,analyze the control methods of demand side management and control and compare the demand and supply in different times to achieve the optimal control.Finally,develop algorithms of demand side management and control from the user's perspective,including algorithms based on energy demand and real-time monitoring algorithms of demand side.Collect,simulate and real-time monitor data of demand side so that algorithms of demand side management and control can meet a variety of needs,adapt to different energy supply and promote a good control strategy.Third,build the supply and demand model from the microscopic coordination point of view to study low-carbon technologies of demand side management and control.At the beginning,introduce low-carbon technologies to the algorithms of demand side management and control,build support module,and focus on thermal electricity demand model which using energy balance method to establish the refrigerator and heat sink physical and mathematical models.This can quantify the impact of demand side control and guarantee electricity users' comfort.Then,build supply module based on different supply technologies to evaluate the performance of constant load,electrical load and thermal load three operating modes of cogeneration operation,and discuss algorithms' applicability of low-carbon technologies of demand side management and control.Next,use multi-dimensional interpolation algorithm to construct a heat pump model,calculate its capacity and power according to the heating mode and cooling mode data in different environments and then adjust the performance of heat pump under non-nominal conditions.Finally,propose the evaluation system after coordination and optimization.Establish and quantify the energy self-sufficiency index,such as shared area,residual error,correlation coefficient,inequality coefficient,load conditions index,fuel consumption,greenhouse gas emissions,the overall efficiency of the simulation.Fourth,design and develop intelligent systems of demand side management and control.At the beginning,integrate the demand side management and control algorithm,intelligent module into the MERIT system platform.Then,expand MERIT's function and build two match view(TMV)to make MERIT available to solve the problems of power and heat energy systems.After that,establish multi-index evaluation form which results in different standards of column optimization table and then determine the best combination.Next,in order to implement MERIT,need to develop and design the remote service systems EnTrak's new packages,including scope management,SQL client,communication and analysis tools application package to make it easy to apply to other systems;finally,combine MERIT systems and develop Internet intelligent system(IE-ES)platforms with data interface module and real-time control module embedded to operate demand side management and control algorithm.Fifth,verify the application of demand side management and control intelligent systems.At the beginning,verify the application of demand side management and control algorithm in the strategic level and operational level in MERIT platform.Then,use authentication methods to verify the demand side management and control intelligent module.After that,compare the output and analytical solution of electric thermal storage system and the refrigerator system.Next,use hypothesis testing methods to verify the pump model;finally,apply the demand side management and control algorithm to single device's real-time power supply in the Internet intelligent energy system.Then,use two cases to verify its feasibility.