Research On Optimal Allocation Of Multi-energy Storage In Wind Farm Considering Power Generation Right Transaction Of Thermal Power Plant

With the determination of the national "carbon peak and neutrality " targets,the future energy supply system with new energy as the main body has become a foregone conclusion.There is a huge demand for heating energy in winter in the "Three North" area,and coal-fired thermal power plants are the main force of traditional heating.The energy supply mode of "determining electricity by heat" makes the wind abandonment phenomenon serious in the heating period.In order to further absorb the wind abandonment,the use of electric heating technology to replace part of the heat output of coal-fired power plants plays a positive role in the low-carbon operation of the whole economy.However,wind power itself has volatility and randomness,and its output characteristics will endanger the stability of power supply and heating.This makes it necessary for the thermal power plant to adjust with the wind power output on the one hand,and on the other hand,the consumption of wind power will damage the income of the thermal power plant,which will inhibit the enthusiasm of the market players at the power generation end to participate in coordination.In the face of this contradiction,using market mechanisms such as power generation right trading to encourage thermal power plants to actively adjust the load and finally realize the win-win situation of wind and thermal power plants is a direction of the development of power market.Under this transaction mode,the income mode of thermal power plant and wind power plant will change,and the configuration mode of relevant equipment in wind power plant will also change.Therefore,based on the consideration of multi energy reserve technology and generation right transaction,this paper studies the economic dispatching and equipment configuration of multi energy storage system in wind power plant according to the potential wind abandonment output of wind power.Firstly,this paper proposes a basic architecture of multi-energy energy storage system of wind power plant.The system is composed of electrothermal system and electric hydrogen system,and the mathematical model of relevant energy elements of each part is reasonably established.The probability distribution and characteristics of wind turbine abandonment prediction error in the system are analyzed,and the probability distribution model of wind turbine abandonment considering uncertainty is established.Provide guidance for the energy trading income and system equipment configuration of wind and thermal power plants in the future.Secondly,according to the principle of power generation right transaction,this paper analyzes the transaction process,transaction income formation factors and transaction constraints of wind and thermal power plants,and establishes the income distribution model of thermal power generation right based on cooperative game theory on the basis of the unification of heat load transaction income and power load transaction income.Firstly,the model establishes the respective and alliance income models of wind and thermal power plants,and then forms the wind and thermal power plant power generation right cooperation game model combined with the constraints of power grid power flow and safety.The shapely value method is used to obtain the cost allocation of all parties involved.Finally,the artificial bee colony algorithm is used to analyze an example.The analysis shows that after adopting the power generation right trading mode in this paper,the income of wind and thermal power plants has been increased,and the overall environmental cost of the system has decreased.Finally,the optimal allocation of multi-energy energy storage system in wind power plant is studied,and a two-level optimal allocation model of multi-energy storage system is established.The upper layer aims to minimize the ratio of the average annual total cost of each energy conversion and energy storage equipment to the total profit in the heating period of wind farm.The lower layer aims to maximize the profit during the heating period of the wind farm,taking into account the income of the electric hydrogen system and the uncertainty of the abandoned wind power.The upper layer is solved by ldiw algorithm,and the lower layer is solved by artificial bee colony algorithm.Finally,an example is given to verify that the rational allocation of energy storage can effectively save energy storage resources,reduce costs,maximize wind power consumption and realize the economic operation of power grid.