Evaluation of rooftop photovoltaic allocation strategies of hosting capacity analysis in low-voltage grid

Abstract

To prevent the performance degradation of a low-voltage distribution grid, in dealing with large-scale rooftop photovoltaic penetration, a hosting capacity analysis needs to be provided. Since accuracy is a necessity in determining the hosting capacity, an evaluation of the rooftop photovoltaic allocation strategies concerning its accuracy is required. Therefore, the objective of this work is to provide a study of rooftop photovoltaic allocation strategies evaluation of hosting capacity analysis in the low-voltage distribution grid. To consider the actual issues, a real low-voltage distribution grid from Indonesia is employed. Over/undervoltage and feeder operating power factor are assigned as the operational performance limits considered for determining the hosting capacity. This work begins with assessing six possible scenarios concerning rooftop photovoltaic distribution flow direction. The results show that the feeder operating power factor is observed as the most restrictive limit. These also indicate that several distinct locations must be considered to develop allocation strategies. According to these results, three LDCRPA (locational dependence constrained rooftop photovoltaic allocation) strategies are developed, including strategy with null locational dependence, two locational dependences, and three locational dependences. Furthermore, these strategies are employed to determine the rooftop photovoltaic hosting capacities, and the accuracy assessment is applied. The results show that, with a tolerance value of 0.09, the strategy considering two locational dependences generates the highest accuracy of 0.952381 compared with the other strategies.