Study On Multi-time Scheduling Of Virtual Power Plant Considering Hydrogen Energy Storage

Developing distributed renewable energy is an effective way to reduce carbon emissions and promote the energy revolution.Virtual power plant enhances market competition and achieve efficient consumption of distributed energy by aggregating distributed energy.Having appropriate scheduling strategies to maximize the profits from selling aggregated power generation is an important factor in the economic stability of virtual power plants.At present,the day-ahead scheduling strategy of virtual power plants only involves the scheduling situation in one day.However,the distributed renewable energy output is affected by weather factors,which may show a low output situation in the next few days after a high output lasting for several days,which may lead to the wind and photovoltaics power curtailment when the output is excessive on the day,and the inability to meet the scheduling instructions when the output is insufficient,so that the long-term benefits of virtual power plants cannot be maximized.Hydrogen energy storage has advantages in terms of energy storage density and time,and can effectively address the dynamic balance of active power caused by the volatility of distributed renewable energy generation in multiple days and long-term scales.Based on the above background,this article will study a multitime scale scheduling strategy for virtual power plants considering hydrogen energy storage.The research contents of this paper are as follows:(1)Firstly,this paper constructs the day-ahead scheduling model of virtual power plant containing hydrogen energy storage.By constructing a refined model for hydrogen energy storage and considering the coordinated scheduling of electricity,heat,hydrogen and other load,the virtual power plant can simultaneously participate in the energy market,spinning reserve market,peak regulation market and carbon emission trading market.The goal is to maximize the expected revenue of the virtual power plant,in order to obtain the maximum revenue from hydrogen containing energy storage virtual power plant and explore the commercial feasibility of electrolytic water hydrogen production.(2)On the basis of the day-ahead scheduling of virtual power plant containing hydrogen energy storage,this paper uses hydrogen energy storage to build a day-ahead scheduling model of virtual power plant considering the multi-day change trend of renewable energy to balance long-term benefits and short-term benefits,so as to maximize the overall long-term benefits,and to solve the problem of long-term,large fluctuations and randomness of distributed renewable energy output.(3)Further consider the deviation between the day-ahead scheduling plan and the actual operation caused by forecast error and other factors,and conduct rolling correction by updating the wind power,photovoltaic output and load forecast data on the basis of the dayahead plan.Considering the impact of long-term forecast trend on the correction results,a virtual power plant rolling correction model considering long-term forecast trend is constructed to achieve the optimal long-term benefits of daily rolling correction.