Power system simulation

Electrical engineering

Machine learning

Physics

Mathematical optimization

Engineering

Artificial intelligence

Power (physics)

Automotive engineering

Economic dispatch

Renewable energy

Reliability engineering

Thermal power station

Control (management)

Power Balance

Mathematics

Environmental science

Computer science

Control theory (sociology)

Quantum mechanics

Wind power

Particle swarm optimization

Electric power system

IEEE Access

Clean renewable energy is given high priority to generate power in power system dispatching.Unfortunately, the objective to minimize wind power curtailment may results in additional costs, since the inverse peak regulation characteristic of wind power probably result in redundant power qualities curtailed to ensure the balance of the electric supply and demand in real time.In this paper, considering the cost of deep peak regulation of thermal unit and wind power curtailment, unit commitment comprehensive optimal model is proposed to minimize total cost by searching the optimal wind power curtailment.In order to achieve an economic strategy among the wind power curtailment and the deep peak regulation, two indexes including the amount of hourly optimal wind power curtailment and the critical value of comprehensive wind power curtailment are developed.Particle swarm optimization algorithm is employed for solving the proposed model.Afterwards, the relationship between the degree of deep peak regulation and the amount of wind power curtailment is researched, the derived conclusions can provide valuable information for system operators.

Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit