Automation of FARM from Alpha Phase to Beta Phase
- Argonne National Lab. (ANL), Argonne, IL (United States)
Integrated energy systems (IES) combine different energy technologies in synergistic ways to achieve a more secure and economical energy supply. The RAVEN-based HYBRID framework and the RAVEN plugin for grid and capacity optimization (HERON) are used to find the optimal installed capacity and the optimal economical dispatch of each component of the IES, by respecting the limits on the production variables and the corresponding rates of variation (explicit constraints). Besides, there are other process variables whose evolution needs to be bounded to avoid damaging the components (e.g., condensers, heat exchangers, steam generators, etc.) or degrading the process efficiency (e.g., electrolysis in the hydrogen production process). To avoid violating these latter limits (implicit constraints), a proof-of-concept HERON validator based on Feasible Actuator Range Modifier (FARM-Alpha) was developed by Argonne National Laboratory in January 2021. This FARM-Alpha validator calculates the evolution of process variables on whom the implicit constraints are placed, and then provides feedback to HERON dispatcher to adjust the power setpoints of three IES components, i.e., Balance of Plant, Secondary Energy Source, and Thermal Energy Storage, so as to meet both the explicit and implicit constraints. FARM-Alpha was designed to assess the performance of FARM as a HERON validator only, i.e., the list of components and implicit operational constraints were hard-coded within the source code. The lack of flexibility of the corresponding software structure does not allow the deployment in production environment. This report describes the development and the implementation of an enhanced version of the FARM-based validator (FARM-Beta), which ensures more flexibility for the end user in modeling multiple IES configurations and scenarios. Several test cases of the power dispatch problem were then selected to demonstrate the capabilities offered by FARM-beta. The test cases illustrate the efficiency of the closed-loop optimization scheme and the capability to calculate set-point trajectories satisfying both explicit and implicit constraints.
- Research Organization:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Organization:
- USDOE Office of Nuclear Energy (NE)
- DOE Contract Number:
- AC02-06CH11357
- OSTI ID:
- 1846200
- Report Number(s):
- ANL/NSE-22/6; 173225
- Country of Publication:
- United States
- Language:
- English
Similar Records
Control system for multi-system coordination via a single reference governor
Time dependent supervisory control update with FARM using rolling window
Validation and Demonstration of Control System Functional Capabilities within the IES Plug-and-Play Simulation Environment
Technical Report
·
Sun Jul 31 00:00:00 EDT 2022
·
OSTI ID:1881455
Time dependent supervisory control update with FARM using rolling window
Technical Report
·
Sat Apr 30 00:00:00 EDT 2022
·
OSTI ID:1867368
Validation and Demonstration of Control System Functional Capabilities within the IES Plug-and-Play Simulation Environment
Technical Report
·
Sat Jan 30 23:00:00 EST 2021
·
OSTI ID:1777477