Ahead of Print article ยท Journal article
Network Topology Independent Multi-Agent Dynamic Optimal Power Flow for Microgrids with Distributed Energy Storage Systems
This paper proposes a multi-agent dynamic optimal power flow (DOPF) strategy for microgrids with distributed energy storage systems. The proposed control strategy uses a convex formulation of the ac DOPF problem developed from a d-q reference frame voltage-current model and linear power flow approximations.
The convex DOPF problem is divided between autonomous agents and solved based on local information and neighbour-to-neighbour communication over a sparse communication network, using a distributed primal subgradient algorithm. Each agent is only required to solve convex quadratic sub-problems, for which robust and efficient solvers exist, making the control strategy suitable for receding horizon model predictive control.
Also, the agent sub-problems require limited power network information and include only a subset of the centralised optimisation problem decision variables and constraints, providing scalability and data privacy. Unlike existing distributed optimal power flow methods, such as alternating direction method of multipliers, under the proposed control strategy the information required by each agent is independent of the communication network topology, providing increased flexibility and robustness.
The performance of the proposed control strategy was verified for an ac microgrid with distributed lead-acid batteries and intermittent photovoltaic generation, using an RTDS Technologies real-time digital simulator.
Language: | English |
---|---|
Publisher: | IEEE |
Year: | 2018 |
Pages: | 3419-3429 |
ISSN: | 19493061 and 19493053 |
Types: | Ahead of Print article and Journal article |
DOI: | 10.1109/TSG.2016.2631600 |
ORCIDs: | Agelidis, Vassilios G. |
Distributed optimisation Dynamic optimal power flow Energy management system Energy storage systems Microgrid Model predictive control Multi-agent systems SDG 7 - Affordable and Clean Energy
Batteries Communication networks Microgrids Optimization Power conversion RTDS Technologies Robustness autonomous agents centralised control centralised optimisation problem decision constraints centralised optimisation problem decision variables communication network topology convex DOPF problem convex programming convex quadratic sub-problems d-q reference frame voltage-current model data privacy distributed energy storage systems distributed lead-acid batteries distributed optimal power flow methods distributed power generation distributed primal subgradient algorithm dynamic optimal power flow energy management system energy storage energy storage systems intermittent photovoltaic generation lead acid batteries linear power flow approximations load flow local information microgrid microgrids model predictive control multi-agent systems multiagent dynamic optimal power flow multipliers alternating direction method neighbour-to-neighbour communication network topology power engineering computing power grids power network information power system control predictive control quadratic programming real-time digital simulator renewable generation sparse communication network tertiary control