Environmental And Economic Optimization For Transmission Power Networks With Facts And Renewable Power Sources Using Artemisinin Optimization Algorithm

Abstract

The study applies the Artemisinin Optimization algorithm (AO) and Tunicate Swarm Algorithm (TSA) to optimally place wind power plant (WPP) and flexible alternating current transmission system (FACTS) in an IEEE 30-bus transmission power grid (TPG). Four study cases are implemented by using AO and TSA, including Case 1) one 15-MW WPP; Case 2) one 15-MW WPP and one Thyristor Controlled Series Compensator (TCSC); Case 3) One 15-MW WPP and one Static Var Compensator (SVC); and Case 4) One 15-MW WPP, one TCSC and one SVC. AO is better than TSA for the four cases, reaching smaller power loss and better 50 trial runs for each case. In addition, AO can escape the local zones and find better solutions than TSA; meanwhile, TSA falls into local zones. The loss of AO is smaller than that of TSA by 4.7%, 3.5%, 4.27%, and 4.87% for the four cases, respectively. The two algorithms can find the smallest loss for Case 4 and the highest loss for Case 1 among the four cases. In addition, Case 4 reduces emission by 1.99, 2.01, 0.92, and 19.68 kg compared to Case 1, Case 2, Case 3, and Base case. For a 20-year period, the system can save 344,829.92 dollars for environmental purpose. So, the use of both TCSC and SVC is better than the cases without them or only one of them, and AO is suitable for placing the WPP and FACTS devices in the TPG.