Journal
ENERGY
Volume 197, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2020.117171
Keywords
Energy hub; Energy efficiency; Optimal operation; Robust optimization; Demand response
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Funding
- National Natural Science Foundation of China [71822104, 71521001]
- Fundamental Research Funds for the Central Universities [JZ2018HGPA0271]
- China Scholarship Council [[2018] 3101]
- Anhui Science and Technology Major Project [17030901024]
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The energy hub (EH) has become an important concept in terms of optimizing multi-carrier energy systems' efficiency and flexibility. In this regard, an optimal operation model for managing multiple EHs with electrical and heat energy demands is proposed, which aims to reduce the total cost of the EHs. The components of each EH include the combined heat and power (CHP) unit, gas boiler, heat storage (HS) unit, wind turbine (WT) and photovoltaic (PV) array. A robust optimization approach is then proposed to deal with the uncertainties of renewable distributed energy resources (RDERs) and electricity prices. Meanwhile, both electrical and thermal demand response (DR) programs are considered in the proposed model. Finally, the optimized dispatch results under three different scheduling scenarios, i.e., the independent scenario, and the aggregation scenarios with and without DR programs are discussed. The simulation results show that the proposed multiple EHs optimization model can effectively reduce the total cost of EHs. Meanwhile, the results also reveal that implementing the DR programs can further reduce the consumers' total costs through load shifting. (C) 2020 Elsevier Ltd. All rights reserved.
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