| The consumption rate of energy in the home increases rapidly with the growth of a large number of electrical equipment and the rapid development of smart home.People have higher and higher requirements for power quality.From the perspective of users,the cost and comfort of electricity in the home have become the focus of attention.From the point of view of the power supply side,the peak-valley difference of load and power quality are the goals pursued by the power supply side.With the development of clean energy,the introduction of photovoltaic and wind power into the grid improves the reliability of electricity consumption and reduces the consumption of non-renewable energy and environmental pollution.Intelligent home energy management system from the perspective of supply and demand,as far as possible to meet the requirements of both sides,reduce the contradiction between them.Home energy management system considering the usage of the load,charge and discharge characteristics of energy storage devices,electric vehicle charging and discharging characteristics of the output and power,distributed power supply side to family load operation interval optimization of electricity price,electricity costs in order to meet user small high comfort and utilization,and the grid side peak valley load difference is small,high power quality requirements.In this context,the relevant content of this topic is studied,and the main research contents are as follows:Firstly,the structure of the home energy management system is introduced,and the optimal scheduling algorithm of home energy and the intelligent home technology in the core technology of the home energy management system,as well as the distributed power supply and energy storage equipment in the core equipment are described.It is clear that intelligent home is mainly based on intelligent home equipment.Considering the output of the distributed power supply and the storage state of the energy storage equipment,the energy optimization design is carried out with the goal of optimal scheduling as the demand.Secondly,the traditional battery control only carries on the storage when the clean energy is surplus and the load side electricity is insufficient for discharging,which causes the frequent charging and discharging operation of the battery and thus shortens its service life.An energy optimization strategy controlled jointly by the battery and the current time-of-use price is applied to make up the power shortage of the load without charging under the peak time price,and the battery can not only make up the power shortage of the load but also charge under the valley time or normal price.To user electricity cost and user comfort as the objective function of the storage battery time-sharing electricity control strategy for energy optimization research,the simulation results show that considering the battery together with lime price control of household energy optimization strategy can be on the basis of the guarantee of electricity cost effectively reduce the battery charge and discharge times,increase the service life of the battery.Finally,because only at a fixed price strategy on the basis of the optimization is likely to cause a lot of electricity power load on the valley when the price interval operation,a new peak,and may not be system load of off-peak power supply,the dislocation caused new summit power system overload operation of power generation equipment,reduce the transmission efficiency of line,Therefore,only relying on fixed Time-of-use price can not achieve the desired effect.Therefore,based on the load side’s participation in the power grid peak regulation,this paper proposes an incentive mechanism that contributes to the peak valley difference of the power grid,and adopts the improved niche particle swarm optimization algorithm to conduct simulation analysis.The results show that the proposed incentive mechanism can effectively reduce the peak valley difference of the load and the electricity cost. |
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