Research On Reactive Power Compensation Strategy Of Distributed Generation Participating In Distribution Side

The large-scale distributed renewable energy access to the distribution network has changed the power flow operation of the traditional radial distribution network,causing voltage overrun,serious line loss and other problems,which has a huge impact on the safe operation of the distribution network.Traditional distribution network often uses passive reactive power compensation and active reactive power compensation device to solve the power quality problem of distribution network,but affected by the access cost,it is more and more difficult to adapt to the power quality problem caused by large-scale distributed renewable energy access.In this paper,by using the residual capacity of distributed generation device,the reactive power compensation method is used to solve the power quality problem of distribution network.Firstly,the mathematical models of active and reactive power of distributed renewable energy are analyzed,and the influence of active and reactive power of active distribution network on distribution network is analyzed,which is proved by mathematical formula.The above analysis shows that the economy and security of system operation can be effectively improved by reactive power optimization of distribution network.Secondly,from the aspect of distribution system scheduling,a distributed generation reactive power optimization method based on adaptive genetic algorithm is proposed.In order to reduce PCC switching power,reduce network loss and voltage deviation,a multi-objective function is established,and the multi-objective function is transformed into a single objective function by weighting method.The adaptive genetic algorithm(adapga)is used to process the data of the system and find the optimal solution for the system.Through the improved ieee33 bus simulation analysis,it shows that the proposed model and method has good applicability,reduces the risk of voltage overrun,reduces the voltage deviation,and effectively reduces the network loss of the system,which verifies the correctness and effectiveness of the proposed model and method.Finally,from the perspective of distributed generation stakeholders,a reactive power optimization method based on Nash bargaining is proposed.Aiming at the problem of benefit distribution brought by the cooperation between distributed generation operators and distribution network operators,the Nash bargaining theory of cooperative game is considered to solve the problem.The model can achieve the maximum benefit of cooperative alliance while the individual achieves the Pareto optimal benefit,which is solved by ADMM algorithm,It is verified that the proposed method can effectively motivate distributed generation to participate in reactive power compensation,and improve the effectiveness of both sides.The reactive power optimization method of distributed generation based on adaptive genetic algorithm and the reactive power optimization method of distributed generation based on Nash bargaining proposed in this paper can optimize the reactive power of the system from the distribution system level and the stakeholder level of distributed generation respectively,which can effectively solve the power quality problems caused by large-scale distributed generation access,And it is of great significance to improve the penetration rate of distributed generation access in distribution network.