返回
App Deconfliction: Orchestrating Distributed, Multi-Agent, Multi-Objective Operations for Power Systems
DOI:10.1109/ACCESS.2023.3269422.png)
摘要
En 中文
Advanced distribution systems need to integrate and orchestrate intelligent subsystems and grid-edge devices that are increasing both in number and sophistication while also serving multiple system-level objectives such as resilience, decarbonization, equity, and profitability. A modular platform-based approach to distribution system operations technology enables operators to deploy a tailored set of best-of-breed algorithms and applications. Combined with the parallel deployment and control of intelligent grid-edge and internet of things devices, this creates a complex distributed-control environment with applications that span ownership boundaries. Conflicts can emerge between applications that want to control overlapping sets of device setpoints. We propose a formalized approach to resolving these conflicts that can be applied when integrating new algorithms or developing customized solutions. A Deconfliction Pipeline is inserted between the device-controlling applications and the device protocol converter, which transmits control setpoints from the operations platform to the devices. The Deconfliction Pipeline executes a process that sets up, solves, and acts on a formally defined deconfliction problem. The deconfliction problem can be solved using a combination of rules and heuristics, application engagement, and optimization. We demonstrate how a few of the most basic solution strategies can be used to orchestrate harmonious behavior between a pair of simple applications with conflicting greedy optimization objectives.
Keyword:
Optimization
Resilience
Pipelines
Behavioral sciences
Power system management
Profitability
Low-carbon economy
Power distribution
Advanced distribution operations
power system management
solution design
system architecture
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Multi-objective energy management of a micro-grid considering uncertainty in wind power forecasting考虑风电功率预测不确定性的微网多目标能量管理
ENERGY
IF9.4
A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids
IEEE ACCESS
IF3.6
Conversion Efficiency Improvement of Te-Based Thermoelectric Devices through Introduction of the SnTe Alloy Barrier Layer通过引入SnTe合金阻挡层提高Te基热电器件的转换效率
Distributed Application Architecture and LinkNet Topology Processor for Distribution Networks Using the Common Information Model
IEEE ACCESS
IF3.6
Robust environmental-economic dispatch incorporating wind power generation and carbon capture plants
APPLIED ENERGY
IF11

