Research On Autonomous Optimized Dispatch Of Active Distribution Power System With Multi-microgrids Based On Analytical Target Cascading Theory

As an effective management mode of distributed generation with clean energy,microgrid has important significance to increase the penetration of new energy in distribution network,and promote the environmental protection and economy of power supply.With the continuous deepening of the reformation of electric power system,more and more distributed energy resource access to distribution network(DN)in multi-microgrids(MGs)manner.At the same time,the interest game between DN and MGs brings a huge challenge for power system economic dispatching.Therefore,there is a great significance of theory and valuable application of engineering about the research on autonomous optimized dispatch of active distribution power system with MGs.As for the strong decentralized and autonomous characteristic of active distribution system(ADS),which is the development tendency of DN,this paper proposes an autonomy optimization model of active distribution system with multi-microgrids based on analytical target cascading theory(ATC).The basic idea of this paper is as follow: depending on the different interest subjects,the optimization model of DN and MGs are formulated in great detail,which take the goal to maximize the economy benefit.Various uncertain factors are taken into account by using chance constrained programming.ATC theory is applied to deal with the decoupling of DN and MGs by modeling the tie-line flow as a pseudo generator and a pseudo load that MGs and DN could autonomously utilize their generation resources to optimize their own operation.Based on the above studies,this paper further considers the correlation between the output power of wind and photovoltaic(pv).Copula theory is introduced to construct the model of joint distribution for wind and photovoltaic.Based on the scenario method,Monte Carlo sampling method is used to simulate the random and correlation characteristics of sampling scenarios,sampling scenarios are reduced by simultaneous backward reduction technology.Then,an autonomous optimization economic dispatch model considering the correlation of wind and pv is established,which with the goal of minimizing the total fuel consumption cost,generators' output adjustment cost and power purchase cost.The example results of IEEE 33 system with MGs show that the results of centralized method and ATC have a good agreement with each other,and the adjustment cost of distributed generation is reduced when the scenery correlation is taken into account,also the economical property of the system could be improved meanwhile.With the popularization of the concept of intelligent community,various profit subject of power generation and distribution companies come into the electricity market,the autonomy optimization model method proposed by this paper is of good suitability and will have a bright application future.