We report electric distribution grid operations typically rely on both centralized optimization and local non-optimal control techniques. As an alternative, distribution system operational practices can consider distributed optimization techniques that leverage communications among various neighboring agents to achieve optimal operation. With the rapidly increasing integration of distributed energy resources (DERs), distributed optimization algorithms are growing in importance due to their potential advantages in scalability, flexibility, privacy, and robustness relative to centralized optimization. Implementation of distributed optimization offers multiple challenges and also opportunities. This paper provides a comprehensive review of the recent advancements in distributed optimization for electric distribution systems and classifications using key attributes. Problem formulations and distributed optimization algorithms are provided for example use cases, including volt/var control, market clearing process, loss minimization, and conservation voltage reduction. Finally, this paper also presents future research needs for the applicability of distributed optimization algorithms in the distribution system.
Patari, Niloy, et al. "Distributed Optimization in Distribution Systems: Use Cases, Limitations, and Research Needs." IEEE Transactions on Power Systems, vol. 37, no. 5, Dec. 2021. https://doi.org/10.1109/tpwrs.2021.3132348
Patari, Niloy, Venkataramanan, Venkatesh, Srivastava, Anurag, Molzahn, Daniel K., Li, Na, & Annaswamy, Anuradha (2021). Distributed Optimization in Distribution Systems: Use Cases, Limitations, and Research Needs. IEEE Transactions on Power Systems, 37(5). https://doi.org/10.1109/tpwrs.2021.3132348
Patari, Niloy, Venkataramanan, Venkatesh, Srivastava, Anurag, et al., "Distributed Optimization in Distribution Systems: Use Cases, Limitations, and Research Needs," IEEE Transactions on Power Systems 37, no. 5 (2021), https://doi.org/10.1109/tpwrs.2021.3132348
@article{osti_1889679,
author = {Patari, Niloy and Venkataramanan, Venkatesh and Srivastava, Anurag and Molzahn, Daniel K. and Li, Na and Annaswamy, Anuradha},
title = {Distributed Optimization in Distribution Systems: Use Cases, Limitations, and Research Needs},
annote = {We report electric distribution grid operations typically rely on both centralized optimization and local non-optimal control techniques. As an alternative, distribution system operational practices can consider distributed optimization techniques that leverage communications among various neighboring agents to achieve optimal operation. With the rapidly increasing integration of distributed energy resources (DERs), distributed optimization algorithms are growing in importance due to their potential advantages in scalability, flexibility, privacy, and robustness relative to centralized optimization. Implementation of distributed optimization offers multiple challenges and also opportunities. This paper provides a comprehensive review of the recent advancements in distributed optimization for electric distribution systems and classifications using key attributes. Problem formulations and distributed optimization algorithms are provided for example use cases, including volt/var control, market clearing process, loss minimization, and conservation voltage reduction. Finally, this paper also presents future research needs for the applicability of distributed optimization algorithms in the distribution system.},
doi = {10.1109/tpwrs.2021.3132348},
url = {https://www.osti.gov/biblio/1889679},
journal = {IEEE Transactions on Power Systems},
issn = {ISSN 0885-8950},
number = {5},
volume = {37},
place = {United States},
publisher = {IEEE},
year = {2021},
month = {12}}