Study On The Influence Of Distributed Photovoltaic Access On Distribution Network And Optimal Allocation

Energy has always played an inescapable role in improving people’s economic development and well-being.However,the sources of non-renewable energy such as coal and oil are being progressively overtaken by new types of energy owing to the dearth of reserves and extensive environmental pollution.As a result,there is a rising demand for clean,renewable energy sources such as photovoltaic power.Distributed PV connection meets the demands of the distribution network and can improve the power mix,increase voltage magnitude,strengthen system stability and optimise the penetration of clean energy.Although it improves the permeability of clean energy,but at the same time,Large-scale access to grid connected solar energy Reform of the transmission and network structure,thus re-orienting transmission lines,which can have serious consequences on power quality and energy loss.Therefore,for the resolution of the foregoing mentioned problems,this chapter suggests that an enhanced GA-SA algorithm for optimizing the position and quantity of distributed PV.First,this paper constructs a mathematical model o f a distributed solar(PV)grid by simulating and analyzing the effects of distributed solar access to voltage and various grid access and loss capacities to voltage,Comprehensive Introduced by the traditional GA-SA algorithm based on the two photovoltaic cell optimization target positions of voltage deviation and grid loss dispersion,taking into account,Three test functions,sphere,step and schwefel problem,were used to test the optimum performance of the improved GA-SA algorithm,the traditional GA-SA algorithm and the PSO algorithm respectively.Secondly,considering that the objective function affects the reliability of the system,two scenarios are simulated based on the above three algorithms considering only voltage deviation and the objective fu nction considering voltage deviation and network loss respectively.Finally,Matlab software is used to write the optimisation algorithm program,and the improved GA-SA algorithm is used to simulate and verify the optimisation effect of network loss and voltage using the IEEE-33 node network and a local 10 kV distribution network as an example.The sphere,step and schwefel problem test functions were used to test the converter velocity of the revised GA-SA algorithm,the original GA-SA algorithm and the PSO algorithm.The data reveals that the number of iterations of the revised GA-SA algorithm under the three test functions are the least,27,33 and 26 in sequence,and the revised GA-SA algorithm converges quicker than the other two algorithms.A voltage optimisation effect before and after the PV connection is compared with the voltage derangements only and with the integrated consideration of voltage derangements and network losses,which indicates that the average improvement in voltage amplitude after optimisation is 0.3% more than that of considering voltage derangements alone,so the voltage improvement effect is much better with the integrated consideration of voltage deviations and network losses.Therefore,when the voltage deviation and network loss are fully considered,the voltage improvement effect is better.For example,in the IEEE-33 node system and10 kV times prospect system,the system’s active network loss is reduced by 33.05% and 59.1%,respectively,and the other two.Reduce the network loss rate than the algorithm,validated that the improved GA-SA algorithm has superior transformer accuracy,and in both the theoretical and practical application of the improved GA-SA algorithm,it can enhance the loss and voltage of the distribution network with efficiency.Improve the conditions for the development of derived distribution network systems.