Abstract
Grid congestion problem is a state where the current transmission and/or distribution lines are not capable to fit in with needs of all required load. Congestion is often appeared in high-demand areas, and at places where plentiful renewable energy is generated and injected into the grid. In this paper, the congestion problem resulting from the PV systems surpluses can be relieved by disconnecting one or more PV consumer from the grid. The objective of the paper is maximizing the number of connected units on the grid with minimal tariffs subject to the power capacity constraint. The PV surplus congestion will be manipulated as a 0/1 Knapsack Problem and resolve it with Greedy Algorithm (GA). The objective of the GA is to find the most influential consumer as candidate consumer for the disconnection. The performance is compared with Particle Swarm Optimization Technique (PSO). From the comparison the PSO gave better optimization for selecting the consumer to be disconnected. By disconnecting the selected units the solar units may continue to supply power to the load. This is known as an island, islanding is not permitted for its relative problem. Avoiding this mode can be done straight forward by proposed canceling the disconnection process for the selected PV units and controlling its output power. This will be investigated as a future work. |
