Hosting Capacity Assessment in Distribution Networks Considering Wind–Photovoltaic–Load Temporal Characteristics

Abstract

Under the background of clean and low-carbon energy transformation, renewable distributed generation is connected to the distribution system on a large scale. This study proposes a probabilistic assessment method of hosting capacity considering wind–photovoltaic–load temporal characteristics in distribution networks. First, based on time series of wind, photovoltaic, and load demands, a discretization–aggregation technique is introduced to generate and filter extreme combinations. The method can effectively reduce the scenarios that need to be evaluated. Then a holomorphic embedding method considering generation and load scaling directions is proposed. The holomorphic function of voltage about an embedding variable is established, and it is analytically expanded in the form of series. The hosting capacity restrained by the voltage violation problem is calculated quickly and accurately. Finally, the proposed stochastic framework is implemented to evaluate hosting capacity involving renewable energy types, penetration levels, and locations. The hosting capacity of single energy and hybrid wind–solar renewable energy systems is evaluated from the perspective of probability analysis. The results verify the outstanding performance of the hybrid wind–solar energy system in improving the hosting capacity.

An Enhanced Approach for Solar PV Hosting Capacity Analysis in Distribution Networks

“…In accordance with (7), the transferable active and reactive power may be expressed as ( 8) and ( 9). Accordingly, the transferrable active and reactive power will be governed by the condition of (10). The inequality in (10) may also be reduced to VSI by reducing it to (11).…”

“…Accordingly, the transferrable active and reactive power will be governed by the condition of (10). The inequality in (10) may also be reduced to VSI by reducing it to (11). VSI is inversely proportional to active power, meaning that VSI decreases as active power increases.…”

“…Therefore, defining DER production and location information is necessary before starting the HC calculation. Despite the possibility that the stochastic methods described in [8], [9], [10] could be applied to represent real-life scenarios, it is important to recognize that the stochastic results might not be the most appropriate solution for HC.…”