A Rudiment of Energy Internet: Coordinated Power Dispatching of Intra- and Inter- Local Area Packetized-Power Networks
This work addresses the scheduling challenge of power interchanges within and between LAPPNs for the Energy Internet, but the results are limited to a two-LAPPN simulation, making the contribution incremental.
The paper proposes a cooperative power dispatching framework for connected local area packetized-power networks (LAPPNs) that coordinates intra- and inter-LAPPN power interchanges to maximize energy delivery while ensuring fairness in transmission urgency. Simulations on a two-LAPPN system demonstrate effective and efficient dispatching, revealing insights on ideal system capacity and transmission proportion manipulation.
Local area packetized-power network (LAPPN) provides flexible local power dispatching in the future Energy Internet. With interconnections among multiple LAPPNs, power dispatching can be further extended to intra- and inter-LAPPN power interchanges. It becomes a significant issue to schedule the two kinds of power interchanges as, from a system perspective high utilization of available scheduling time slots and low overall transmission loss should be guaranteed, and from a subscriber perspective a high scheduled ratio of transmission requests with a fair transmission sequence in terms of transmission urgency are expected. To this end, we propose a cooperative power dispatching framework for connected LAPPNs, including subscriber matching and two-layer power transmission scheduling. The former matches subscribers from different LAPPNs, considering both subscriber preferences and power transmission loss. The latter coordinates the intra- and inter-LAPPN power packet transmission to maximize the amount of energy delivered with a guaranteed fairness on user urgency. Simulation results of a two-LAPPN system are provided, which demonstrate that the proposed framework can achieve effective and efficient power dispatching in terms of the mentioned concerns, and reveal facts on ideal system capacity and how to manipulate the proportions of the two kinds of transmissions according to network status.