Randomness Of Wind Power Output Research Articles

A Collaborative Planning Model of Power Source Considering the Uncertainty of The New Energy and The Power Market

This paper studies the model of power system adapted to the new energy generation and power market environment. A collaborative planning model of power source considering the uncertainty of the new energy and the power market is proposed. The construction of coal-fired thermal power generating units, wind power generators and transmission lines are considered. At the same time, in view of the uncertainty of wind power generation and electricity market, considering from two perspectives: the randomness of wind power output and the use of geometric Brownian motion to predict electricity price. Finally, the example application of the IEEE 30-bus system shows that the model can effectively coordinate the construction scheme of power grid and power supply.

Day‐ahead voltage scheduling method based on a two‐stage robust optimisation for VSC‐HVDC connected wind farms

Considering the capacitor banks and on-load tap changer (OLTC) applied in the voltage-source-converter-based high-voltage direct-current (VSC-HVDC) systems with large-scale wind farm integration, this study presents a day-ahead voltage scheduling method to avoid frequent adjustment of the slow discrete devices. Using this method, the AC side voltage of the wind farm side VSC (WFVSC), capacitor banks and OLTC can be scheduled optimally. The scheduling ensures a discrete but large change, while real-time automatic voltage control (AVC) in wind farms offers a continuous and a fine response to the volatility of wind power. This ordination is realised by a two-stage robust optimisation utilising wind power forecasting. Furthermore, a reasonable simplification method is proposed to address non-linear constraints and make the problem solvable. Based on Monte Carlo simulation, case studies are conducted for both simple and real systems to verify the validity and superiority of the method. The results show that the scheduling enhances the AVC effect under the randomness of wind power output and enables collaboration among diverse devices in the vicinity. The system operation outperforms other methods in terms of the voltage profile and dynamic reactive power reserves.

Reactive Power Pricing Model Considering the Randomness of Wind Power Output

With the increase of wind power capacity integrated into grid, the influence of the randomness of wind power output on the reactive power distribution of grid is gradually highlighted. Meanwhile, the power market reform puts forward higher requirements for reasonable pricing of reactive power service. Based on it, the article combined the optimal power flow model considering wind power randomness with integrated cost allocation method to price reactive power. Meanwhile, considering the advantages and disadvantages of the present cost allocation method and marginal cost pricing, an integrated cost allocation method based on optimal power flow tracing is proposed. The model realized the optimal power flow distribution of reactive power with the minimal integrated cost and wind power integration, under the premise of guaranteeing the balance of reactive power pricing. Finally, through the analysis of multi-scenario calculation examples and the stochastic simulation of wind power outputs, the article compared the results of the model pricing and the marginal cost pricing, which proved that the model is accurate and effective.

Bi-level Multi-objective Environmental Economic Dispatch with Wind Farm

A bi-level multi-objective environmental economic dispatch model with wind farms is established based on decomposition coordination principle and users’ side resources. Considering the level of system load and users’ satisfaction degree, a multi-objective optimization mathematical model was established to determine fitting load of the system and time sharing price. Considering the randomness of wind power output, a multi-objective environmental economic dispatch model is established to determine the generation plan. A hybrid universal gravitation algorithm and tabu search algorithm is proposed to solve the model. The optimal scheduling scheme is determined by the method of approximate ideal solution based on entropy weight. Simulation results show that: Considering the influence of resources of source side in the scheduling process not only can improve load level of the system operation, the satisfaction of using electricity and absorptive capacity of wind power, but also can effectively in reduce the generation costs and pollution emissions.