Research On Optimal Allocation Of Distributed Generations Considering Carbon Emission Constraint

With the growing attention of energy and climate change issues, it is the con-sistent objective of each country and industry to achieve low carbon development and lower the excessive consumption of fossil energy. In recent years, the growth rate of carbon emission of China improved significantly, power industry which use coal as the primary energy is the largest CO2 emission department among the national economy. For this reason, power industry is viewed as the key to fulfill low carbon electricity and lead the development of low carbon society. And Distributed genera-tion (DG) attracts more and more attention and also develops rapidly because its characteristics of low-polluting property, large reserves, high flexibility and strong reliability, which also has huge impacts on power grid.DG integration can effectively alleviate the current tough problems of economic issue, shortage of energy and environment pollution; however, it can also cause cer-tain effects on power flow, power losses, voltage profile and system planning in the power network. In addition, the effect extend is highly related to the location and size of DG. Once the DG allocation is inappropriate, it will cause the bad effects on the grid operation index as well as the waste of the sources. Thus, research on DG optimal allocation method is of great importance in both theoretical and practical aspects.Moreover, DG integrates into the power grid will produce certain amount of carbon dioxide emissions, thus affecting the local and global environment. Based on the traditional optimal allocation method, this paper uses life cycle assessment to calculate the carbon emission intensity factor of different kind of DG. The carbon emission impact after DG integration is analyzed through Grey prediction model and specific example. And the carbon emission impact of DG integration is considered in DG optimal allocation method.This paper proposes a placement model of DG, aiming at optimize the power losses of the network with the consideration of power flow, operation constraint as well as carbon emission constraint. Further, the uncertainty of the load and DG gen-eration is taken into account by using the scenario method. A new method based on GAMS and scene strategies is proposed to confirm the optimal location and size of DG. The IEEE 30 bus test system and Chenzhou power grid of Hunan province in China are used to validate the proposed method. By comparing the results before and after the carbon emission constraint, it shows that even though the power losses are slightly increased, the carbon dioxide emissions of both cases are effectively reduced by 30kg and 100kg, respectively. Thus, it is of practical significance to consider car-bon emission constraint when carry out the DG optimal allocation.