KOREA Study on anti-islanding method development for utility interactive inverter system Byunggyu YU KOSEF - 10709 Researcher, Korea Institute of Energy Research, Photovoltaic Research Group Japanese Advisor : Mikihiko MATSUI Professor, Tokyo Polytechnic University Distributed generation (DG) system like photovoltaic (PV) and wind is growing larger and more complicated in order to avoid environmental problem and fossil fuel shortage crisis. However, the advent of DG may be the cause of some problems to stability and power quality in the adjacent utility. Especially, the possible occurrence of islanding phenomenon has been one of the most issued problems in connection with ongoing growth of DG generation. It can possibly cause safety problems to utility service personnel or related equipments. In order to prevent islanding, many anti-islanding methods have been studied. However, it is mostly based on the power perturbation which impacts on the inverter low power quality. Therefore, it is significant to propose the anti-islanding method with the least power quality degradation. In response to this concern, this dissertation is focused on investigation and development of effective and reliable islanding detection method with high power quality for grid-connected inverter system. In order to have the least power quality degradation with good islanding detection capability, the research is basically approached into reactive power variation method and effective power variation method. As a reactive power variation method, the optimal design methodology for slip mode frequency shift (SMS) method is presented based on the non-detection zone concept of standard relays by corresponding to IEEE Std. 929-2000. As a result, it shows the good islanding detection capability within 2 second and good power quality with around 0.99 power factor. However, the reactive power variation is naturally based on the power quality degradation by changing the current phase. Thus, as a novel effective power variation, the Periodic up/down Current Magnitude Variation (PCMV) method is 36 KOREA proposed in the dissertation. In order to differentiate between islanding voltage deviation and abnormal grid-connected voltage deviation, the proposed PCMV method is combined with the conventional AFD method for practical application. The proposed PCMV method has reliable islanding detection capability within 0.245 second with 0.99 power factor. For the implementation of reactive and effective power variations in this dissertation, the direct current control method is used not the voltage control method based on the complex power in order to have faster control response. As an improved effective power variation method, a novel correlation based islanding detection method is presented. This correlation technique is applied into the PCMV method and it works well without frequent nuisance tripping. Thus, this method can be useful to detect islanding very quickly without using second stage AFD method. Then, as an anti-islanding method application for three phase grid-connected inverter system, it is proposed that a novel current commands for only phase-a and phase-c are distorted by the conventional AFD method. Asymmetrically injected zero currents by the AFD method make some time difference between positive half cycle and negative half cycle only after islanding occurs. The presented time difference can be used an islanding detection indicator with good capability under various local load conditions including induction motor load. In conclusion, this dissertation is targeted to study good anti-islanding method with good power quality. Thus, effective and reactive power variation methods are proposed including correlation technique and time difference indicator. Especially, since the proposed indicators don’t depend on the standard relays, it can reduce the amount of power perturbation and it leads naturally to the very high power quality. As a result of this research, it is expected to contribute to solve the modern electric power system safety problem by islanding remarkably with good power quality. As a further research, it is expected to apply the proposed correlation technique into the other active methods like AFD method. 37