Research On The Optimal Allocation Method Of Energy Storage System In Multiple Scenarios

In recent years,environmental issues are attracting worldwide attentions.Among them,fossil energy is on the focus,which is the largest source of carbon emission.Countries all over the world are carrying out industrial planning in the field of new energy,and are vigorously carrying out the development and application of new energy technology.China is no exception.Not only on policy but also on financial support,it has been providing full assistance for the development of new energy.However,some characteristics of new energy itself cause problems to the power system.There is a contradiction between the instability of new energy output and the real-time balance of power supply and demand.Therefore,energy storage,as a sharp tool,steps onto the stage in response to the realistic needs.The space-time translation characteristics of energy storage can suppress the volatility of new energy and make the power system return to stability.Energy storage can be applied to many scenarios in the power system.However,it has not reached maturity,and the cost has not been reduced to the extent of large-scale promotion and commercial usage.In addition,the layout of energy storage in each scenario needs to be planned according to the actual constraints.This paper first introduces the background of the rise of energy storage,and the development as well as application of energy storage technology.Then the energy storage planning in three scenarios: the user side,the power side and the distribution network side is studied.(1)Set the application scenario of energy storage on the user side.Combined with price policies and various business details in the process of energy storage investment,the cost-benefit model of the user side is established from the perspective of user.The return rate of internal investment is used as the measurement to judge whether the energy storage project is worth investing.(2)Set the application scenario of energy storage on the power side.The energy storage system is applied to the auxiliary frequency modulation of thermal power unit.The assessment and compensation model of thermal power unit are established according to the two detailed rules of the power grid,and the cost-benefit model of the application scenario is established in combination with the cost model of the energy storage system.Then the model is solved with particle swarm optimization algorithm based on distributed computing to get the maximum benefit of the unit and its corresponding energy storage capacity and power.(3)Set the application scenario of energy storage on the distribution network side with distributed generations.In this scenario,wind and light abandonment will cause idle waste of fixed assets such as photovoltaic generations and wind generations,which cannot make full use of resources.Considering the response of the demand side,the cost of energy storage and the cost of wind and light abandonment,the cost model of this scenario is established.Finally,the energy storage capacity to minimize the cost is obtained.