Research On The Flexible Load Dispatching Method Base On Micro-balance

At present,China vigorously develops renewable energy power generation,but the development of the regional economy is gradually becoming unbalanced,making the contradiction of electric energy balance increasingly intensified.With regard to the increasingly serious shortage of fossil fuels and smog problems,relying on conventional generators as a means of balancing electric energy will no longer have high economic and social benefits.The potential for providing grid-assisted services on the demand side has gradually been tapped with the development of Internet technologies and battery technologies.Its representative intelligent air-conditioning load and charging and discharging load of electric vehicles have attracted wide attention from the academic and industrial circles.Judging from the historical rules of use,the use of air-conditioners and the charging of electric vehicles in an unordered manner will make large-scale loads of this type concentrated into the regional distribution network during the peak load period of the grid,which will increase the peak-to-valley difference of the power grid.Peak pressure increases.The time for the electric car to start charging and the opening time for the smart air-conditioning load are close,that is,the time for the work to return home.However,wind power generation also has anti-peaking characteristics,and the problem of power balance will become more serious.Therefore,it is necessary to orderly schedule the charging and discharging loads and smart air-conditioning load of the electric vehicle to eliminate system power imbalance caused by itself and wind power generation,and not affect the user's comfort as much as possible.The main work of this paper is as follows:1)A flexible load was proposed to define the flexible load.The load characteristics of typical flexible loads represented by electric vehicle charging load and air-conditioning cooling load are analyzed,and the working principle of a single load is analyzed.Summarizing the law of free use of load,the Monte Carlo method was used to randomly sample the load,and a statistical model of the aggregated power was established after the charging load of the electric vehicle and the cooling load of the air conditioning were massively integrated into the grid.The conventional load of the designated area was used as a control and the electric power was analyzed.2)The concept of energy micro-balance is proposed,and flexible load scheduling is studied based on micro-balance.A load control mechanism based on micro-balance is designed and implemented.The mechanism achieves fine control ofload by combining the various combinations of loads with different controllable durations and powers,and referring to the idea of statistical time division multiplexing in communications.This method aggregates all types of controllable loads on the residential side to form a load cluster.3)The design of the availability and priority of various types of loads in the cluster was designed.The air-conditioning,water heater and electric vehicle loads were taken into account in the method.Detailed models of air-conditioning,water heaters and electric vehicles were established.By using the designed multi-level clustering priority sorting algorithm,the load set that meets the load reduction requirement is filtered out.Simulation examples verify the effectiveness and feasibility of the mechanism.The research conducted in this paper opens up new ways for residential power users to participate in the ongoing smart grid activities within the framework of grid operations,and increase the enthusiasm of users to participate in the response.Reduce peak loads and save energy,making the grid more efficient and reliable.