Research On Stochastic Programming Dispatching Method For Wind And Photovoltaic Microgrid Considering Market Risk

As the carrier of distributed power,microgrid can not only effectively avoid the impact of the volatility and intermittent power generation of new energy on the operation of the grid,but also can more flexibly dispatch to participate in the electricity market while absorbing new energy.In the electricity market environment,the randomness of new energy production,load demand,and market electricity prices will inevitably bring rigorous challenges to microgrid participation in the market.How to consider the impact of these random factors,carry out risk assessment and control to reduce microgrid participation in the market,and the impact of the risks faced has high academic value and practical value.In view of this,the thesis starts an exploratory study on the two key points of risk assessment indicators and transaction scheduling models based on the main line of the influence of random factors on microgrid participation in the market,based on the wind and photovoltaic complementary microgrid and the microgrid with adjustable load.(1)This thesis introduces the random dispatching model and load dispatching model of distributed power sources in the microgrid,and the theoretical basis of stochastic planning,elaborate the monte carlo simulation sampling technology and latin hypercube sampling technology,and the fast non-dominated sorting genetic algorithm,and the Pareto solution set obtained by the solution is adopted to obtain the optimal solution based on the information entropy fuzzy membership method,which lays the foundation for the establishment of risk assessment indicators for microgrid participation in the market and the solution of transaction models.(2)Consider the operating principles of microgrid and build a framework for microgrid to participate in market transactions.Taking into account the randomness of new energy,load,and market electricity prices,and drawing on the theory of semi-absolute dispersion risk,construct risk assessment indicators for microgrid to participate in market transactions.Based on the stochastic programming theory,a profit and risk model of microgrid market transactions is established that takes into account market risks.The fast non-dominated sorting genetic algorithm with embedded monte carlo simulation sampling is used to solve the transaction model,and the comprehensive optimal solution is determined according to the information entropy fuzzy method.Finally,with the data of a microgrid example,the validity of the risk assessment index is verified through the randomness of new energy,load and electricity price,and the corresponding risk management and control strategy is given.(3)On the basis of chapter three,in order to improve the control ability of the load side,the introduction of adjustable loads,so that the microgrid’s participation in market transactions will be transformed from the traditional participation of lar ge power grids from ’one-way regulation’ to ’two-way regulation’.Taking into account the regulation characteristics of the adjustable load,construct the micro-grid market transaction risk evaluation index with adjustable load,and establish the profit and risk model of the micro-grid market transaction with adjustable load.In order to reduce the amount of monte carlo stochastic simulation data,NSGA-Ⅱ with embedded latin hypercube sampling is used to solve the model,and a comprehensive solution is obtained according to the information entropy fuzzy method.Finally,a microgrid example is used to verify the validity of the established risk and model,revealing the characteristics of microgrid market returns and risks in a random environment,and the impa ct of different control methods on microgrid participation in the market risk,in order to account for market risk management and control of the microgrid with adjustable load provides a new way.