Computational and experimental study of air-core HTS transformer electrothermal behaviour at current limiting mode

The paper provides the results of the experimental and computational study of the processes occurring in high temperature superconducting transformer windings while secondary winding is short-circuited. The obtained mathematical simulation matches closely with the experimental results. The temperature variation curves for superconducting windings were analysed, and conclusions were made on the necessity of changes in HTS transformer design, namely the necessity of windings heat-insulation from each other and adding a high-resistance coating material for HTS wire in HTS transformer primary winding

Economic Operation of Islanded Microgrids Based on the Region Search Evolutionary Algorithm

In this paper a new evolutionary algorithm based on the region search evolutionary algorithm (RSEA) is developed for optimal energy management and operation of microgrids. Islanded microgrid operation is more crucial than the conventional distribution grids because of less dependency of the extremal (upstream) generation units. Thus, an effective economic operation of islanded microgrid need a strong algorithm to meet all constraint associated with the problem. The proposed developed RSEA technique is tested on the IEEE 33 bus test system. Results show the effectiveness of the RSEA technique, compared to the well-known evolutionary techniques

Region Search Optimization Algorithm for Economic Energy Management of Grid-Connected Mode Microgrid

Economic energy management of grid-connected microgrid has been widely investigated. However, due to the binary variables of the generation unit’s status, the optimal result of the grid-connected microgrid is very hard. Thus, in this paper, the region search optimization algorithm (RSOA) is developed and adopted for the energy management of the grid-connected microgrid. The developed technique has higher convergence speed and accuracy, compared to the well-known heuristic techniques, such as genetic algorithm and particle swarm optimization. Results shows the effectiveness of the developed model

Modified Charged System Search Algorithm for Economic Optimal Scheduling of Microgrid in Grid-Connected Mode

This paper presents a new heuristic algorithm famous as charged system search algorithm for optimal operation of the microgrids (MGs) in the grid-connected mode. The algorithm is also being modified based on a mutation operator technique to speed up its convergence speed. Finally, the model is examined on IEEE 69 bus test system

Modified Charged System Search Algorithm for Economic Optimal Scheduling of Microgrid in Grid-Connected Mode

This paper presents a new heuristic algorithm famous as charged system search algorithm for optimal operation of the microgrids (MGs) in the grid-connected mode. The algorithm is also being modified based on a mutation operator technique to speed up its convergence speed. Finally, the model is examined on IEEE 69 bus test system

Economic Self-Operation of Microgrids By Gravitational Emulation Local Search Algorithm

Islanded microgrid (MG) is a microgrid which is disconnected from the main network and therefore it is safe and has lead to one of the most important challenges in the power system operation. In the case of higher price in the market, the islanded MG offers a lower operational cost. On the other hand, the nonlinear attribute of optimal operation of the islanded MG has made difficulties in using such systems. To overcome this obstacle, a new heuristic method known as the Gravitational Emulation Local Search Algorithm (GELSA) is proposed in this paper in order to solve the problem. The efficiency of the technique is examined on a modified IEEE 30 bus test network