摘要：In this paper, a comprehensive economic allocation method based on virtual energy theory for microgrid complementary power supply is proposed, which is successfully applied to the multi energy complementary planning and comprehensive economic planning of an island microgrid. In order to evaluate and optimize the microgrid in the planning stage more objectively based on the characteristics of various combinations of renewable micro generation and flexible operation modes, a new method of the micro-grid comprehensive economic configuration and optimization of the distributed generation is proposed based on virtual energy theory. Firstly, the Micro-grid model structure based on the virtual energy theory is given. Secondly, the virtual energy conversion model of different distributed power generations is also studied. The micro-grid pluripotent complementary and comprehensive economic optimization model (PCCEP) based on virtual energy theory are reached too. Combined with a practical example, a PCCEP method of the micro-grid based on the Homer software platform is discussed. The case study indicates that the method can avoid the uncertainty of the decision-making factors and the subjectivity of expert evaluation. It is shown that the new method is a practical solution for microgrid comprehensive economic optimization planning.
其他摘要：Reliability, safe and continuous electrical power supply are always bound to disruption and the urged of the advancement in technology has made developed countries to keep align with their current system especially in electrical power network. High demand in electrical technology has made researchers to find approach in inventing a smart meter measurement as to which technically has a big impact towards consumers. Considering the revolution of IoT sensing technology could aid the communication between the operator and the grid efficiently. Thus, the advancement of technology will boost the performance in wide area monitoring system.
其他关键词：IoT sensing ; Phasor Measurement Unit (PMU) ; Control Monitoring ; Measurement, Smart Grid
