Proximal Jacobian Distribution Optimal Power Flow in a Distributed Cyber-Physical Environment

Carrasco, Miguel; Mancilla–David, Fernando; Angulo, Alejandro; Weston, Jorge; Papantoni-Kazakos, P.

doi:10.1109/jetcas.2017.2703907

Cited by 10 publications

(1 citation statement)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The mainstream distributed algorithms used are based on the Lagrangian relaxation (LR) method, including optimal condition decomposition (OCD) [5][6][7] and generalized benders decomposition (GBD) [8,9], which can realize a completely distributed solution for multi-region scheduling problems. Other distributed algorithms in use are based on the augmented relaxation description (ALD) method, including the auxiliary problem principle (APP) [10][11][12] and analytical target cascading (ATC) [13][14][15], which can improve the convergence performance of the high standard LR method [16].…”

Section: Introductionmentioning

confidence: 99%

Distributed Optimization of Multi-Microgrid Integrated Energy System with Coordinated Control of Energy Storage and Carbon Emissions

Shi,

Cen,

et al. 2024

Sustainability

View full text Add to dashboard Cite

The mutual optimization of a multi-microgrid integrated energy system (MMIES) can effectively improve the overall economic and environmental benefits, contributing to sustainability. Targeting a scenario in which an MMIES is connected to the same node, an energy storage coordination control strategy and carbon emissions management strategy are proposed, and an adaptive step-size method is applied to improve the distributed optimization of MMIESs based on the alternating direction multiplier method (ADMM). Firstly, the basic framework of MMIESs is established, and a coordinated control strategy limiting the time of charge and the discharge of the battery storage system (BSS) is proposed. Then a multi-objective optimization model based on operating and environmental cost is formulated. Considering that different microgrids may be managed by different operators and a different convergence speed of multi-objective optimization iteration, an adaptive step-size distributed iterative optimization method based on ADMM is used, which can effectively reduce the cost and protect the privacy of each microgrid. Finally, a system composed of three microgrids is taken as an example for simulation analysis. The results of distributed optimization are accurate, and the proposed coordinated control strategy can effectively enhance the revenue of ESS, which verifies the effectiveness of the proposed method.

show abstract