A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids

A freshwater shortage can threaten the well-being of people and communities. With the growing global population and limited access to freshwater resources around the world, desalination has become an important technology for meeting the freshwater demand of communities. Desalination, the process of extracting freshwater from saline water, can be done in a centralized water processing plant or distributed at smaller desalination units. This paper investigates the integration of distributed desalination units within a microgrid for the dual optimization of water and energy generation by developing a distributed consensus algorithm to solve the economic dispatch problem for power and water co-generation. The simulation results validate the algorithm by finding the optimal generation capacity of each element in the microgrid while meeting the dynamic demands of power and water.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905928
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.21
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article

A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids

Mo–Yuen Chow, Skieler Capezza, Ahmad ALhaji
1 citations
Energy Harvesting in Wireless Networks
0.21
article

A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids

Mo–Yuen Chow, Skieler Capezza, Ahmad ALhaji
article en
1 citations

Abstract

A freshwater shortage can threaten the well-being of people and communities. With the growing global population and limited access to freshwater resources around the world, desalination has become an important technology for meeting the freshwater demand of communities. Desalination, the process of extracting freshwater from saline water, can be done in a centralized water processing plant or distributed at smaller desalination units. This paper investigates the integration of distributed desalination units within a microgrid for the dual optimization of water and energy generation by developing a distributed consensus algorithm to solve the economic dispatch problem for power and water co-generation. The simulation results validate the algorithm by finding the optimal generation capacity of each element in the microgrid while meeting the dynamic demands of power and water.

North Carolina State University (US), Shanghai Jiao Tong University (CN)
Openalex Percentile: Top 43%
Energy Harvesting in Wireless Networks
0.21
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A Distributed Consensus Approach for Power and Water Co-Generation in Microgrids — Mo–Yuen Chow, Skieler Capezza, et al. · (2024) | TGRS Research Map | TGRS