TY - JOUR
T1 - Micro water-energy nexus
T2 - Optimal demand-side management and quasi-convex hull relaxation
AU - Li, Qifeng
AU - Yu, Suhyoun
AU - Al-Sumaiti, Ameena S.
AU - Turitsyn, Konstantin
N1 - Funding Information:
Manuscript received June 29, 2018; revised September 8, 2018 and September 12, 2018; accepted December 2, 2018. Date of publication December 20, 2018; date of current version December 17, 2019. This work was supported by the MIT and Masdar Institute Cooperative Program under Grant MM2017-000002. Recommended by associate editor S.-i. Azuma. (Corresponding author: Qifeng Li.) Q. Li was with the Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA. He is now with the Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816 USA (e-mail:, qifeng. [email protected]).
Publisher Copyright:
© 2014 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - In some countries and regions, water distribution and treatment consume a considerable amount of electric energy. This paper investigates the water network's potential ability to provide demand response services to the power grid for the management of renewable resources under the framework of a distribution-level water-energy nexus (micro WEN). In particular, the hidden controllable water loads, such as irrigation systems, were closely studied as virtual energy storage to improve the flexibility of electrical grids. An optimization model is developed for the demand-side management (DSM) of micro WEN, and the simulation results assert that grid flexibility indeed benefits from taking controllable water loads into account. Although the proposed optimal DSM model is a computationally intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
AB - In some countries and regions, water distribution and treatment consume a considerable amount of electric energy. This paper investigates the water network's potential ability to provide demand response services to the power grid for the management of renewable resources under the framework of a distribution-level water-energy nexus (micro WEN). In particular, the hidden controllable water loads, such as irrigation systems, were closely studied as virtual energy storage to improve the flexibility of electrical grids. An optimization model is developed for the demand-side management (DSM) of micro WEN, and the simulation results assert that grid flexibility indeed benefits from taking controllable water loads into account. Although the proposed optimal DSM model is a computationally intractable mixed-integer nonlinear programming (MINLP) problem, quasi-convex hull techniques were developed to relax the MINLP into a mixed-integer convex programming (MICP) problem. The numerical study shows that the quasi-convex hull relaxation is tight and that the resulting MICP problem is computationally efficient.
KW - Electric power networks
KW - hybrid systems
KW - optimization
KW - water-energy nexus (WEN)
UR - http://www.scopus.com/inward/record.url?scp=85058892757&partnerID=8YFLogxK
U2 - 10.1109/TCNS.2018.2889001
DO - 10.1109/TCNS.2018.2889001
M3 - Article
AN - SCOPUS:85058892757
SN - 2325-5870
VL - 6
SP - 1313
EP - 1322
JO - IEEE Transactions on Control of Network Systems
JF - IEEE Transactions on Control of Network Systems
IS - 4
M1 - 8584095
ER -