Research On Coordinate Optimal Operation Of Power System Considering Active Distribution Network Response Under Low-carbon Environment

In recent years,more and more attention has been paid to energy crisis and climate warming.China has gradually carried out a series of environmental protection policies and measures.In December 2017,the construction of the national carbon trading market was officially launched,which indicates that China's carbon trading market has begun to take shape.As an important energy sector,power industry should strive to achieve energy conservation and environmental protection and shoulder the responsibility of leading the low-carbon development of the whole society.Furthermore,with the large-scale development of distributed generation,one-direction distribution network has been unable to adapt to the tremendous changes in the grid.Active distribution network emerged.Active distribution networks' participation in emission management and taking active distribution network response into account in dispatching strategy can give full play to emission reduction potential of load-side resources.With the development of smart grid,transmission and distribution network coordinated dispatching strategy aming at realizing low-carbon power will become a new trend.In summary,this paper studies several problems of coordinated dispatch of power system considering active distribution network response under the low-carbon environment.In the study of carbon emission right allocation,this paper considers regional carbon emission balance,and proposed a carbon emission rights allocation scheme based on comprehensive indicators.Based on the results of zero and data envelope analysis and regional carbon emissions,the final carbon emission rights allocation scheme is determined by entropy method.The allocation scheme based on comprehensive indicators takes into account the differences of carbon emission efficiency and geographic location of power plants,and achieves regional carbon emission balance in the initial allocation of carbon emission rights.In the aspect of day-ahead dispatch,an optimal tiered emission pricing model considering active distribution network response is established.The coordinated dispatching model of transmission and distribution network is decomposed into independent models of transmission and distribution network by systems of systems algorithm,and the optimal tiered emission price is solved by dichotomy.Tiered emission price model can effectively limit the output of high-emission units,regulate overall carbon emissions in high-emission areas,and the response of active distribution network makes the system have more room to regulate emissions.In the aspect of load-side emission management,the probability distribution of locational marginal emission intensity is modeled.Meanwhile,locational marginal emission intensity based demand response and transmission-distribution coordinated dispatch models are established.Compared with carbon potential,locational marginal emission intensity can reflect the impact of small load changes on system emissions.At a small load regulation ratio,demand response management based on locational marginal emission intensity can achieve better emission reduction effect.The coordinated dispatching strategy of transmission and distribution network based on locational marginal emission intensity can effectively reduce system emissions and promote active distribution networks to participate in system emission management.In terms of congestion management,an improved HNSGA-II algorithm is proposed to solve congestion management model considering active distribution networks' participation.The algorithm improves the diversity and convergence of solutions through Gauss mutation and constraint processing strategy.The power market mechanism of active distribution network with multi-microgrids is established,and congestion profit allocation strategy based on cooperative game is proposed.This strategy can promote the cooperation of microgrids in congestion management participation,thereby improving the utilization rate of renewable energy and reducing the operation cost.