Operation risk assessment of active distribution networks considering probabilistic uncertainties of distributed generators‐loads and power management of VRB ESSs
| Autor: | Jiazhi Lei, Xiangyu Guan, Baohua Wang, Qingwu Gong, David Wenzhong Gao |
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| Rok vydání: | 2020 |
| Předmět: |
Power management
Renewable Energy Sustainability and the Environment business.industry Computer science 020209 energy 020208 electrical & electronic engineering Probabilistic logic 02 engineering and technology Flow battery Energy storage Reliability engineering Renewable energy Power (physics) Approximation error 0202 electrical engineering electronic engineering information engineering business Risk management |
| Zdroj: | IET Renewable Power Generation. 14:1764-1771 |
| ISSN: | 1752-1424 1752-1416 |
| DOI: | 10.1049/iet-rpg.2019.1362 |
| Popis: | This study aims at specifying the operational risk assessment of active distribution networks (ADNs). Correspondingly, an operational risk assessment model based on point estimate method (PEM) considering probabilistic uncertainties of distributed generators-loads and power management of vanadium redox flow battery (VRB) energy storage systems (ESSs) was proposed. The probabilistic uncertainties of distributed generators and loads growth are mathematically modelled and discretised by PEM. Also, the distributed VRB ESSs are maximally used for the consumption of renewable energy and power supply of loads by the power management of VRB ESSs. The risk assessment indexes of expected energy not supplied and severity index for ADNs are constructed and the 2m + 1 PEM was used for the calculation. Finally, the case studies verified the effectiveness of PEM as the relative error is less than 1.75% and the excellent advantage on fast calculation. In addition, both the power management of distributed VRB ESSs and the dispersion of DGs or VRB ESSs have a significant influence on the operational risk assessment of ADNs. |
| Databáze: | OpenAIRE |
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