Journal
ENERGY REPORTS
Volume 6, Issue -, Pages 745-751Publisher
ELSEVIER
DOI: 10.1016/j.egyr.2020.11.136
Keywords
Multi-energy systems; Column-and-constraint generation algorithm; Demand side response
Categories
Funding
- National Key Research and Development Program of China [2018YFE0208400]
- Science and Technology Project of State Grid Corporation of China (Key Technologies of Novel Integrated Energy System Considering Cross-border Interconnection)
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Integrated multi-energy systems, due to their flexibility and complementary characteristics, are considered an important energy system structure for accommodating high renewable penetration, and thus have attracted great attention of global research recently. Based on the energy hub, a two-stage optimal design and planning method for regional integrated energy systems (IES) is proposed in this paper, Furthermore, the demand side response (DSR) is taken into consideration. The EnergyPlus simulation software is used to produce multi-energy load data for various types of buildings in urban areas. Then, the improved k-means data clustering method and the Kolmogorov Distance scene reduction technology are applied to generate three types of typical scenarios. The objective of optimal IES planning is to minimize total capital cost, O&M cost, and the shifting load compensation cost while making sure the system operates reliably and safely. The column-and-constraint (CCG) generation algorithm is implemented to achieve fast optimization solution. The simulation results show the effectiveness of the proposed method, and the benefits of IES with complementary multi-energies are reflected. (C) 2020 TheAuthors. Published by Elsevier Ltd.
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