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Open AccessArticle

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

by 1, 1,*, 1,* and 2
1
School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China
2
State Grid Hangzhou Electric Power Supply Company, Hangzhou 310000, China
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(6), 2183; https://doi.org/10.3390/su12062183
Received: 14 February 2020 / Revised: 10 March 2020 / Accepted: 10 March 2020 / Published: 11 March 2020
(This article belongs to the Special Issue Renewable Energies for Sustainable Development)
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. View Full-Text
Keywords: Hybrid energy system; wind power; photovoltaic; hosting capacity; distribution system Hybrid energy system; wind power; photovoltaic; hosting capacity; distribution system
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MDPI and ACS Style

Liu, D.; Wang, C.; Tang, F.; Zhou, Y. Probabilistic Assessment of Hybrid Wind-PV Hosting Capacity in Distribution Systems. Sustainability 2020, 12, 2183.

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