Research On Optimal Dispatching Strategy Of Active Power Distribution System Considering Demand Response

Energy is not only the essential material basis of economic development,but also an important strategic resource for national security.The energy demand and dependence of China become more and more prominent,with the fast development of national economy ever since the reform and opening-up.Taking advantages of improving energy efficiency and optimizing electric energy structure,distributed power generation technology is an inevitable choice to promote the development of China’s smart grid,of which the application can realize the grid-connected operation of the distribution network,with the access of distributed energy such as a large number of distributed generations,controllable load and energy storage system,and then the transformation from traditional distribution network to Active Distribution System(ADS).Since the consumptive ability of renewable energy is restrained by its random variation and dynamic change of load,it is difficult only to rely on generation-side dispatch to enhance the accommodation capacity.Therefore,it is a good way to introduce demand response into active distribution system to improve the consumptive ability greatly and promote energy-saving and emission reduction.The main research object of this thesis is the active distribution system with distributed generation.Based on the study of distributed generation and distribution system dispatch characteristics,the scheduling strategy was formulated according to the active distribution system with a plenty of distributed generations.First of all,in the implementation phase of the price,the 24 h price can be formulated by demand-response type,quasi-realtime strategy,optimizing the load curve and guiding the load transfer.Second,a multi-objective optimal scheduling model with the lowest operating cost and the lowest carbon dioxide treatment cost was established.In the daytime scheduling stage,The mathematic model is established with the shortest run cost as the objective function and on this base both the active power reduction of the controllable DG and the reactive power provided to the distribution network are introduced as relaxation variables,which ensures the availability of the solution of the model.Finally,based on the existing problems of traditional fruit fly optimization algorithm,the algorithm can be improved according to the analyze of principle,flow,characteristics,advantages and disadvantages,differential evolution strategy is introduced for the optimal solution.And the improved IEEE-34 node system is used to verify the correctness of the proposed model and the improved algorithm.The results show that the proposed model and the improved algorithm are correct,which can effectively reduce the running cost of the distribution system and take into account the carbon emission efficiency.At the same time,it also ensures the safe and stable operation of the system.