Locating and Sizing optimization algorithm of Distributed Generation in Distribution Networks for Low-carbon operation

with the increasing energy crisis and environmental pollution, reducing energy consumption and implementing a low-carbon economy are critical to achieve sustainable development. The penetration rate of distributed generations (DGs) is gradually increasing for the benefits of the economy and flexibility. Appropriate grid-connection schemes of DGs can reduce system operational costs and decrease carbon emissions. To optimize the grid-connection schemes with DGs, a locating and sizing algorithm of DGs in distribution networks for Low-carbon operation is proposed. First, the optimal models of a distribution system for low- carbon operation are constructed based on the carbon emission flow theory, and the security and stability constraints of the system. Then, the chaotic-particle warm is applied in the optimal models to determine the optimal grid-connection schemes of DGs. Finally, the IEEE 33-bus distribution system is modeled on the CloudPSS platform to test and verify the optimization algorithm. The test results show that the algorithm is effective and useful.