Fault Recovery Simulation for a 30-Node Distribution Network

Distribution network fault recovery is a critical research direction in power system automation, primarily addressing the rapid restoration of power supply following grid failures. For a 30-node distribution network, simulating the fault recovery process using intelligent algorithms holds significant demonstrative value.

The core logic of this simulation program involves identifying the optimal combination of switch operations (i.e., the operable switch set) to isolate the faulted area and maximize power restoration to non-faulted zones after a fault occurs. The program typically handles several key steps:

First, it requires building a topological model of the 30-node distribution network, including foundational data such as line parameters, switch positions, and load distribution. Then, a fault scenario is configured to simulate grid state changes after a short-circuit or other faults occur on a specific line or node.

Next, the program searches for switch combinations based on predefined recovery strategies, commonly employing intelligent optimization techniques like heuristic rules or genetic algorithms. Each candidate switch set must be evaluated for feasibility, considering technical constraints such as network connectivity, voltage limits, and load balance.

The final operable switch set must meet two fundamental conditions: complete isolation of the faulted area and maximal restoration of power to healthy zones. The program may also provide auxiliary decision-making information, such as load loss during recovery and operational sequences.

The practical value of such simulation programs lies in offering decision support for power dispatchers, thereby reducing fault recovery time. The 30-node scale maintains the complexity of real distribution networks while facilitating algorithm validation and solution optimization.