Research On Multi-energy Collaborative Scbeduling Optimization And Benefit Equilibrium Of Renewable Energy

Energy is an essential element of human production and management activities.At this stage.China’s energy development and utilization face two major contradictions,one is the contradiction between the continuous growth of energy demand and the depletion of traditional energy,and the other is the increasing environmental pressure and the contradiction between the high-emission energy consumption structure.Since General Secretary Xi made deployments on the energy supply side and consumption side revolution on June 13,2014,the transformation of the energy system’s low-carbon transformation has accelerated,gradually increasing the proportion of renewable energy(hydropower,wind power,photovoltaic power generation,etc.)It is an important way to promote the low-carbon transformation of the energy system.In recent years,supported by strong policies,China’s renewable energy power generation has developed rapidly.By the end of 2018,China’s renewable energy generation amounted to 1.87 trillion kWh.accounting for 26.7%of the total annual power generation.However,the randomness and uncertainty of renewable energy are the biggest obstacles to the utilization of renewable energy.The increasing connection capacity of renewable energy power generation will bring challenges to the stable operation of the power system.If the above problems are studied from the perspective of power installation,it can be found that the time node planning,regional balance,renewable energy development in China.There are deviations in the development model and operation mechanism,such as the lack of a coordinated operation mechanism for wind power,photovoltaic power plants and conventional power sources,and the lack of a mechanism to coordinate and coordinate the interests between conventional power generation companies,power grid companies,and power users.With the deepening of research on multi-energy complementary physical systems and mathematical models,the synergistic use of multiple types and even heterogeneous energy sources to solve the problem of renewable energy consumption.The problem provides a new solution.This paper focuses on the promotion of renewable energy consumption,researches on the multi-energy collaborative scheduling optimization and benefit balance model of renewable energy,and combines multiple types of renewable energy consumption scenarios.The scheduling optimization model has its own emphasis.The main research contents of the article include:(1)This paper studies the status of China’s renewable energy grid-connected,abandoned energy and investment planning,and sorts out the foreign renewable energy development policies represented by the United States,Britain,and Germany.Combined with the development status of China’s renewable energy,it summarizes the promotion of China’s renewable energy.The experience of energy multi-energy synergy and complementary use.It points out the multi-type power integrated system,regional integrated energy system and distributed energy integration multi-energy complementary utilization path,which lays a solid theoretical foundation for the subsequent multi-energy collaborative scheduling optimization.(2)Considering the output characteristics of the wind-driven generator set and the peak-shaving performance of the water-fired generator set(including the pumped-storage unit),the wind-photovoltaic-storage(pumped-storage)system and the wind-photovoltaic-hydro-electric-thermal-storage system scheduling optimization model are established respectively.The wind-photovoltaic-storage(pumped-storage)system scheduling model aims at minimizing system operating costs and minimizing system pollution emissions,focusing on the weight distribution of economic and environmental targets in multi-target scheduling,and using the upper and lower limits of the constraints and the particle-based group.The information sharing method of the mutation strategy improves the particle swarm optimization algorithm to improve the convergence accuracy of the algorithm.The wind-photovoltaic-hydro-electric-thermal-storage system scheduling model aims at the maximum social welfare and the minimum operating cost of the system,and focuses on the risk of the system’s daily dispatching uncertainty due to the participation of wind and optical units.The results of the example verify the effectiveness of the design model and algorithm in this chapter.(3)Based on the idea of robust optimization,based on the energy hub model,a regional integrated energy purchase and sale bid optimization model under the bidding environment(the Nordic electricity market and the natural gas market)was established.The base number was used for the system output and energy price uncertainty.The processing method of k-means clustering scene reduction after type uncertain set and Latin hypercube sampling,and the cogeneration system and electric gas conversion system as the core components,based on economic dispatching,the operational optimization model of regional integrated energy system is constructed.(4)Three distributed renewable energy utilization scenarios of rural microgrid,island microgrid and virtual power plant were selected,and their scheduling optimization models were established respectively.The multi-energy collaborative scheduling optimization model of rural microgrid focused on the study of rural energy use characteristics and system under time-of-use tariff.Operation-optimization,the island microgrid multi-energy collaborative scheduling optimization model focuses on the optimization of system operation under different degrees of wind and light unit output uncertainty disturbance.The virtual power plant multi-energy collaborative scheduling optimization model focuses on the optimization of virtual power plant bidding strategy under the participation of P2G..(5)This paper studies the multi-agent benefit distribution of renewable energy multi-energy complementary system,and constructs a multi-agent benefit allocation method based on improved Shapley value method and improved Banzhaf value method for renewable energy multi-energy complementary system.Constructed a multi-energy complementary system structure of renewable energy including "wind-photovoltaic-thermal power" and corresponding trading strategies;then based on this,the net income calculation model under the independent operation and cooperative operation scenario of renewable energy system is constructed;furthermore,considering supply and demand balance,Constraints such as unit output have constructed an optimized operation model for renewable energy systems with the goal of maximizing net income.