Research On Distribution Network Dispatching Method With Ultra-high Proportion Penetration Of Clean Power

Under the background of carbon neutrality,the proportion of intermittent new energy power generation,such as wind and light,will gradually reach more than half of the super high proportion,and its weak control characteristics bring many problems to the operation and dispatching of the existing power system.For example,the lack of low-carbon dispatching mechanism and method of distribution network suitable for the achievement of local regional carbon reduction index tasks;It is difficult to solve the problem of distributed computing when distributed clean power generation with privacy information protection demands participates in distribution network scheduling;Lack of market-oriented dispatching platform and market-oriented dispatching methods for microgrid with clean power supply;Insufficient stimulation of elastic potential of controllable load in response to load side demand.It is necessary to consider the diversified characteristics of dispatching objects and dispatching objectives,as well as the collaborative method of planned dispatching and market-oriented dispatching in the power dispatching mode of intelligent distribution network.On the basis of combing the typical forms and basic scheduling methods of intermittent clean power grid connection,this paper studies the intelligent distribution network scheduling mode suitable for the maximum acceptance of clean power,so as to solve the problem that the traditional distribution network economic scheduling does not adapt to the consumption of clean power.The main research contents of this paper are as follows:For the centralized grid connection of clean power supply,the carbon neutralization index of regional power grid has been reached in stages.Study the carbon-electricity coupling model in different scenarios,decompose the carbon index and the electricity plan in stages,and comprehensively consider the load power demand and the economic operation demand of the distribution network under the premise of achieving the carbon neutral intensity stage index.For the information sharing micro-grid,a centralized optimal economic dispatching model is established,which aims at minimizing the overall operation cost of distribution network,takes load reduction,distribution network safety and energy storage output as constraints,and focuses on the carbon emission cost of distribution network.The mixed integer second-order cone optimization method is proposed to obtain the global optimal solution and simulated in IEEE33 bus system.The simulation results show that MISOCP algorithm can effectively linearize the nonlinear characteristics of power flow equation of power system.This method can be used for centralized optimal dispatching of distribution network with ultra-high proportion penetration of clean power supply and effectively improve the new energy acceptance capacity of information sharing micro-grid under the situation of carbon emission quota tightening of distribution network.Investors have more privacy protection demands when clean power is distributed and connected to the grid in the form of microgrid.The distributed cooperative optimization method of distribution network is studied when the operation information of multi-micro grid is uncertain or privacy protection is demanded.This paper focuses on the problem that the centralized collaborative regulation method is difficult to solve in the case of lack of information,and the global optimal dispatching of distribution network is in a dilemma.The information protection problem in the optimal scheduling of distributed multi microgrid is modeled and simulated.The simulation results show that the adaptive robust optimization scheme can effectively establish the mathematical model of privacy information protection problem,solve the uncertain wind energy problem,and decompose the model into regional subproblems by using the augmented Lagrange(AL)decomposition method.At the same time,in order to solve the nonconvex problem,an extension alternate optimization method(AOP)is proposed to obtain high quality finite-convergent solutions for nonconvex mixed integer problems.Aiming at the more market-oriented competition demand of multi microgrid when clean power is distributed and connected to the grid in the form of microgrid,this paper studies the mechanism of distribution network power market and node marginal price(DLMPS),and constructs a coordinated operation game model of distribution network and multi microgrid to improve the participation of clean power.The model establishes a non cooperative game relationship of two-level optimization,which can solve the collaborative optimization decision-making problems between multiple micro networks and between multiple micro networks and distribution networks on the premise of realizing the safe operation of distribution networks.In the proposed optimization model,the upper model takes the maximization of the self-profit of multi microgrid as the goal and models the cooperative game relationship between multi microgrid.The lower model is constrained by the physical conditions of distribution network operation,which can complete the market clearing and determine the marginal electricity price and clearing power.The simulation results show that each microgrid adjusts its bidding strategy according to the marginal price of the lower distribution market,and obtains the Nash equilibrium solution through the upper game model.Aiming at the possibility of electricity price incentive of adjustable load aggregator,this paper studies the distributed management method of adjustable load through market mechanism,and puts forward a hierarchical coordination strategy of adjustable load.At the upper level,aggregators implement distributed scheduling of virtual batteries at the system level through P2 P transactions to fully protect user privacy and send transaction results to the lower level.At the lower level,the regulation potential of temperature control load is quantified by virtual battery,and its distributed control method is realized through market mechanism in response to the dispatching instructions from the upper level.The hierarchical regulation strategy of temperature control load based on market mechanism can realize distributed management of temperature control load effectively.The power smoothing strategy of micro-grid connection line based on multi-time scale optimization and coordination of temperature control load is studied to alleviate power error of micro-grid connection flow caused by wind power uncertainty.Temperature load multiple time scale was used to optimize coordination solution to micro network link hour and minute time scale power error of the method,compared with single scheduling time scale,the temperature load multiple time scale coordination scheduling would be more efficient to solve the problem of micro power network link error,temperature load multiple time scale coordination control can improve user’s income.