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Distribution network expansion planning considering a distributed hydrogen-thermal storage system based on photovoltaic development of the Whole County of China.
- Source :
-
Energy . Sep2023, Vol. 278, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- The large-scale access of a substantial proportion of the distributed photovoltaic (PV) power sources has introduced considerable source-side randomness and volatility to the distribution network in the development of PV power generation in the whole county of China. This paper proposes a cooling-heat-electric multi-energy coupled power distribution network expansion bi-level planning model to reduce the influence of uncertainty and improve the PV consumption rate (PVCR). It is based on the distributed hydrogen-thermal storage system (DHTSS) in a high-proportion PV scenario. First, an irradiation-load-temperature multi-grid joint scenario generation model is constructed based on each meteorological cluster to effectively describe the uncertainty of PV power generation and multi-energy consumption. Subsequently, a refined distributed PV system physical model chain is constructed to address the low accuracy of the traditional PV output model in the high PV output (HPVO) scenarios. Lastly, considering the power supply reliability objective of the low-probability with high-load (LPHL) scenarios, a multi-objective bi-level expansion planning model of the distribution network is constructed to accurately determine the capacity of each equipment in DHTSS, the distribution lines, and low-voltage transformers to be expanded in the distribution network. • To propose an irradiation-load-temperature multi-grids joint scenarios generation model. • To propose a method of refined distributed PV system physical model chain. • To propose an operating model of the distributed hydrogen-thermal storage system. • To propose a multi-objective bi-level distribution network expansion planning model. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03605442
- Volume :
- 278
- Database :
- Academic Search Index
- Journal :
- Energy
- Publication Type :
- Academic Journal
- Accession number :
- 164379743
- Full Text :
- https://doi.org/10.1016/j.energy.2023.127761