4.7 Article

Robust Operation of a Water-Energy Nexus: A Multi-Energy Perspective

期刊

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
卷 11, 期 4, 页码 2698-2712

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2020.2971259

关键词

Water heating; Heat pumps; Water resources; Resistance heating; Cogeneration; Uncertainty; Power systems; Integrated energy system; multi-energy flow; robust optimization; water-energy nexus; water distribution system (WDS)

资金

  1. National Natural Science Foundation of China [51725702, 51627811, 51807059]
  2. 111 project [B08013]
  3. Fundamental Research Funds for the Central Universities [2018MS002]

向作者/读者索取更多资源

Due to the continuous development of renewable energy as well as the emerging high-efficiency energy conversion techniques, the interdependencies among the heterogenous energy systems, such as power, natural gas, and district heating, are strengthening, which gradually forms the concept of integrated energy systems (IESs) and has drawn much attention from academia and industry. However, few research efforts have been spent on analyzing the interdependencies between IESs and the water distribution system (WDS), especially in the operation time scale, though water is one of the most necessary materials during energy production and conversion. In this article, a robust operation model for the water-energy nexus against the uncertainties of wind generation outputs is proposed to explore the interdependency between the IES and the WDS. The overall model is a two-stage program with a nonlinear program (NLP) in each decision stages, owing to the ubiquitous pressure-flow equations as well as the on/off switching of device operation status. Further, a two-step solution procedure is devised to obtain a solution with good quality, including the mixed integer second-order program based approximation for the original NLPs and the convex optimization based feasibility recovery, which is further embedded into the traditional column-and-constraint generation algorithm to generate a robust solution. Simulation results validate the necessity and the effectiveness of the proposed model and methods.

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