Optimal Scheduling Strategy for Power Systems Containing Offshore Wind Farms Considering Wind Power Uncertainty

Abstract

The wind power interval prediction of offshore wind farms and power plan arrangement of conventional thermal power units are of vital importance in the consumption of offshore wind power, the reduction of greenhouse gas impact on the environment, and the electric power system safe and economic operating. With the purpose of selecting the appropriate Copula function on the basis of the results of wind speed and wind power normal test, establish the mathematical model of wind-fire joint optimal scheduling, and optimize coal-fired power units power generation after comparing the convergence performance of particle swarm optimization method and crow search algorithm. Results indicate that the selected Copula function meets the expected criteria, and the optimized thermal unit climbs more smoothly and through the optimization of CSA the complete economic consumption of running is lessened. An idea is presented by this paper, which considers the uncertainties of offshore wind power generation, and the basis for the operational performance of CSA over PSO, and which provides a joint wind-thermal economic optimal dispatch strategy.

Optimization of Energy Storage Allocation in Wind Energy Storage Combined System Based on Improved Sand Cat Swarm Optimization Algorithm

“…Therefore, wind power and photovoltaic, as clean energy sources, have been developing rapidly in recent years, and in China, a large number of wind power and PV are integrated into the power grid. However, the instability of wind power generation brings about a decrease in the reliability of the system as well as a higher rate of wind and light abandonment, both of which are problems that need to be solved urgently [4,5]. By configuring energy storage, the wind-power and photovoltaic power output volatility can be effectively suppressed by the wind-power and photovoltaic joint power generation system, which can be flexibly adjusted and can send out excess power when the system output is larger than the load, as well as make up the difference through the grid when the system output cannot meet the load demand.…”

Research on the Primary Frequency Regulation Control Strategy of a Wind Storage Hydrogen-Generating Power Station

“…References [10,11] proposed a primary frequency regulation method for simulating synchronous units, which used an integrated inertial control to change the power output of wind turbines; however, this control method would change the original operating state of a wind turbine, which is not conducive to the stable operation of a system. References [12,13] sacrificed the maximum wind energy tracking state, and a rotor speed and pitch angle control strategy was used to provide a system with standby frequency regulation power, but the wind energy utilization rate was reduced. References [14,15] proposed a coordinated control strategy, but the operating conditions of each doubly fed induction generator (DFIG) were different, it was difficult to realize the coordinated control of multiple units and the control system was cumbersome.…”