Abstract
In recent years, with the increased penetration of distributed power sources such as photovoltaic and wind turbines in the distribution network, the uncertainty of their power output has brought lots of challenges to the stable operation of the distribution network. Derived from the background analyzed above, soft open points (SOPs) are new intelligent power distribution devices. The appearance of the SOP integrated energy storage system has improved the SOP utilization ratio, reduced the system construction investment and operation cost greatly. The SOP capability to deal with transient disturbances and improve system power flow distribution has also been enhanced. Consequently, to minimize the voltage deviation and active power loss, a power flow optimization model of multi-port SOP integrated energy storage system for active distribution networks (ADNs) is established. Then multi-objective particle swarm optimization (MOPSO) algorithm and compromise optimal algorithm are used to solve the above multi-objective problems. Finally, the power flow optimization effects of the modified IEEE 33-node network with different port numbers of SOPs integrated energy storage system are compared and analyzed.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
