Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems

Abstract

In recent years, hybrid wind-photovoltaic (PV) systems are flourishing due to their advantages in the utilization of renewable energy. However, the accurate assessment of the maximum integration of hybrid renewable generation is problematic because of the complex uncertainties of source and demand. To address this issue, we develop a stochastic framework for the quantification of hybrid energy hosting capacity. In the proposed framework, historical data sets are adopted to represent the stochastic nature of production and demand. Moreover, extreme combinations of production and demand are introduced to avoid multiple load flow calculations. The proposed framework is conducted in the IEEE 33-bus system to evaluate both single and hybrid energy hosting capacity. The results demonstrate that the stochastic framework can provide accurate evaluations of hosting capacity while significantly reducing the computational burden. This study provides a comprehensive understanding of hybrid wind-PV hosting capacity and verifies the excellent performance of the hybrid energy system in facilitating integration and energy utilization.

Hosting Capacity Calculation Deploying a Hybrid Methodology: A Case Study Concerning the Intermittent Nature of Photovoltaic Distributed Generation and the Variable Nature of Energy Consumption in a Medium Voltage Distribution Network

“…However, according to [6], the increase in voltage is seen as the most prominent problem on a feeder, in addition the authors from [18,31] conclude that the problems associated with voltage regulation, due to excessive generation, are more likely to occur than other power quality problems, even at lower levels of PV penetration. As such, in this paper, the option was made for calculating the hosting capacity of the network, while discerning the voltage limits in steady state.…”

Simultaneous Distributed Generation and Electric Vehicles Hosting Capacity Assessment in Electric Distribution Systems

“…where the indices t, u, and k correspond to sets of time intervals (Γ T ), the location of aggregators (Γ AG ∈ Γ B ), and EV populations (Γ p ev ), respectively. The maximum storage capacity of the aggregator u at time t is determined in (7). Similarly, the maximum capacity of the power drawn by the aggregator u in time t is given by (8).…”

“…A sensitivity analysis to estimate the installed capacity of photovoltaic (PV)-based DG units is developed in [6]. Taking advantage of the capacity factor of DG units based on wind and PV technologies, a probabilistic method is implemented in [7] to estimate the DG hosting capacity of an EDS. In addition, in the literature, strategies can be found to maximize the DG hosting capacity through the coordinated operation of energy storage systems [8], implementation of demand response programs and DG reactive power support [9], including the operation of medium-and low-voltage transformers [10] and open unified power quality conditioner [11], the use of dynamic reconfiguration, and static VAr compensators [12], and management of devices for voltage and reactive power control considering voltage-dependent loads [13].…”

Current Harmonic Aggregation Cases for Contemporary Loads

“…Energies 2022, 15, 437 2 of 15 HC can be more accurately assessed if the harmonic profile of contemporary loads is analyzed along with the harmonic profile of future loads and sources such as EV and PV inverters [6]. For environmentally sustainable electricity production and use, the number of solar plants and EVs is increasing annually; this impacts the distribution network in terms of power quality.…”