Load Control Technology For Resident User Groups In Market Environment

Along with the gradual increase of load and the gradual opening of the power market,various demand side response resources have attracted attention in participating in balancing power supply-demand and realizing load peak reduction and valley filling.The continuous improvement of the electricity market mechanism has promoted the progress and development of the supply and demand interaction technology.Under the reasonable price or incentive demand side management means,the demand side resources are reasonably used or distributed.As an important part of the schedulable demand side resources,smart homes can be scheduled and used by home energy management systems,power utilities or third-party organizations.In this context,it is necessary to separately study the respective interests of the power users who are the demand side and the third party organizations such as the power supply companies on the supply side,so as to maximize the respective revenues.This paper studies the supply and demand interaction technology including smart homes.The main work is as follows:The equipment model and system architecture required for supply and demand interaction technology were established.The retailer is used as the supply side.The profit-seeking method of the electricity retailer was analyzed,and the ubiquitous power Internet of Things technology was introduced into the interactive technology to establish the utility—electricity retailer—electricity consumers three-tier architecture.Taking the home user as the demand side research object,the architecture of the home energy management system and the electrical and thermodynamic model of the smart home are analyzed.On the supply side,the power retailer acts as a bridge connecting the utility and the user,gains profits by participating in direct load control,further refines the compensation mechanism on the basis of the predecessors,and establishes basic compensation and additional compensation mechanisms.The compensation mechanism can encourage users to participate in the auxiliary service market while balancing the distribution of users within the temperature range,smoothing load fluctuations,allowing the retailer to obtain more profits,and simplifying the scheduling strategy to some extent.Finally,an example is given to analyze the effectiveness of the scheduling strategy.On the demand side,considering the time-of-use electricity price,we establish a HEMS with distributed power and an electrical vehicle,describing a multi-objective optimization model with uncertainty parameters.The problem is solved with improved genetic methods.On this basis,with the user’s electricity consumption cost and risk index being considered,the multi-objective optimization model of the user’s comprehensive satisfaction and the corresponding constraints of the various devices in the home are proposed.The above model is regarded as a two-stage optimization considering both electricity costs and power fluctuation.Finally,the effectiveness of the model and the optimization algorithm are verified by simulation examples.