Optimal Energy Scheduling and Sensitivity Analysis for Integrated Power-Water-Heat Systems

Fang, Sidun; Wang, Chenxu; Lin, Yashen; Zhao, Changhong

doi:10.1109/JSYST.2021.3127934

Optimal Energy Scheduling and Sensitivity Analysis for Integrated Power-Water-Heat Systems

Journal Article · Thu Dec 02 00:00:00 EST 2021 · IEEE Systems Journal

DOI:https://doi.org/10.1109/JSYST.2021.3127934· OSTI ID:1839242

Fang, Sidun ^[1]; Wang, Chenxu ^[1]; ^[2]; Zhao, Changhong ^[1]

Chinese Univ. of Hong Kong (Hong Kong)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

The conventionally independent power, water, and heating networks are becoming more tightly connected, which motivates their joint optimal energy scheduling to improve the overall efficiency of an integrated energy system. However, such a joint optimization is known as a challenging problem with complex network constraints and couplings of electric, hydraulic, and thermal models that are nonlinear and nonconvex. We formulate an optimal power-water-heat flow (OPWHF) problem and develop a computationally efficient heuristic to solve it. The proposed heuristic decomposes OPWHF into subproblems, which are iteratively solved via convex relaxation and convex-concave procedure. Simulation results validate that the proposed framework can improve operational flexibility and social welfare of the integrated system, wherein the water and heating networks respond as virtual energy storage to time-varying energy prices and solar photovoltaic generation. Moreover, we perform sensitivity analysis to compare two modes of heating network control: by flow rate and by temperature. Our results reveal that the latter is more effective for heating networks with a wider space of pipeline parameters.

View Accepted Manuscript (DOE)

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1839242

Report Number(s):: NREL/JA-5D00-81830; MainId:82603; UUID:e3e6305a-6d21-47d2-8608-825179af7551; MainAdminID:63576

Journal Information:: IEEE Systems Journal, Vol. 16, Issue 4; ISSN 1932-8184

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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