Distributed AC security-constrained unit commitment for multi-area interconnected power systems

Zhang, Chen; Yang, Linfeng

doi:10.1016/j.epsr.2022.108197

Cited by 4 publications

(2 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The charging and discharging statuses of EVs are shown in (17). Formulas (18) and (19) show the limitations of charging and discharging power of EVs, respectively. Formula (20) shows the energy status of the EV battery.…”

Section: Proposed Formulationmentioning

confidence: 99%

“…In [18], a mixed-integer second-order conic model was proposed to solve the unit commitment by modeling different types of power plants. In [19], a non-linear programming model for the multi-area security-constrained unit commitment without storage and flexible demand was proposed. In [20], a robust model was proposed to solve the unit commitment problem with integrated energy storage systems, renewable energy resources, and flexible alternating current transmission system (FACTS) devices to maximize security and minimize costs regardless of demand response.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources

Gholami Trojani,

Samiei Moghaddam,

Mohamadi Baigi

2023

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

In this paper, a new formulation for modeling the problem of stochastic security-constrained unit commitment along with optimal charging and discharging of large-scale electric vehicles, energy storage systems, and flexible loads with renewable energy resources is presented. The uncertainty of renewable energy resources is considered as a scenario-based model. In this paper, a multi-objective function which considers the reduction of operation cost, no-load and startup/shutdown costs, unserved load cost, load shifting, carbon emission, optimal charging and discharging of energy storage systems, and power curtailment of renewable energy resources is considered. The proposed formulation is a mixed-integer linear programming (MILP) model, of which the optimal global solution is guaranteed by commercial solvers. To validate the proposed formulation, several cases and networks are considered for analysis, and the results demonstrate the efficiency.

show abstract