Automatic Parameter Optimization Based on High-Efficiency Simulation Model of Regional Energy Router

In order to promote the penetration of distributed renewable energy and the hybrid connection of AC and DC distribution network, regional energy router is proposed. By integrating regional energy router into smart distribution network, safe and stable economic network operation can be better realized. However, traditional manual design and parameter optimization method have faced many difficulties such as low efficiency and large quantity of manpower. This paper proposed an automatic parameter optimization method based on high-efficiency simulation model of regional energy router. By using genetic algorithm (GA) and integral of time multiplied by squared error criterion (ITSE), efficient and fast parameter optimization can be achieved. Proposed parameter optimization method has been verified based on simulation of a four-port 10kV/1MW regional energy router.