Optimization model for wind farm spinning reserve capacity containning rotor inertia kinetic energy[containning read containing]

2015 ◽  
Author(s):  
Rui Quan ◽  
Pan Wen Xia
Keyword(s):  
Kinetic Energy ◽  
Optimization Model ◽  
Wind Farm ◽  
Reserve Capacity ◽  
Spinning Reserve

scholarly journals Assessing the benefits of exchanging spinning reserve capacity within the hydro-Dominated nordic market

2021 ◽  
Vol 199 ◽  
pp. 107393
Author(s):  
Arild Helseth ◽  
Mari Haugen ◽  
Hossein Farahmand ◽  
Birger Mo ◽  
Stefan Jaehnert ◽  
...  
Keyword(s):  
Reserve Capacity ◽  
Spinning Reserve

scholarly journals Method for Determining the Maximum Allowable Capacity of Wind Farm Based on Box Set Robust Optimization

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Lihui Guo ◽  
Hao Bai
Keyword(s):  
Wind Speed ◽  
Robust Optimization ◽  
Wind Power ◽  
Optimization Model ◽  
Wind Farm ◽  
Optimization Theory ◽  
Wind Farms ◽  
Bilevel Optimization ◽  
Grid Connection ◽  
Node Voltage

With the increasing penetration of wind power, the randomness and volatility of wind power output would have a greater impact on safety and steady operation of power system. In allusion to the uncertainty of wind speed and load demand, this paper applied box set robust optimization theory in determining the maximum allowable installed capacity of wind farm, while constraints of node voltage and line capacity are considered. Optimized duality theory is used to simplify the model and convert uncertainty quantities in constraints into certainty quantities. Under the condition of multi wind farms, a bilevel optimization model to calculate penetration capacity is proposed. The result of IEEE 30-bus system shows that the robust optimization model proposed in the paper is correct and effective and indicates that the fluctuation range of wind speed and load and the importance degree of grid connection point of wind farm and load point have impact on the allowable capacity of wind farm.

The Influence Research of Complementarities of Electric Vehicles and Distributed Energy on Grid Spinning Reserve Capacity and Peak Regulation

2012 ◽  
Vol 608-609 ◽  
pp. 1623-1626
Author(s):  
Zi Heng Xu ◽  
Rui Ma ◽  
Shu Kui Li
Keyword(s):  
Wind Power ◽  
Electric Vehicles ◽  
Reserve Capacity ◽  
Chance Constrained Programming ◽  
Distributed Energy ◽  
Joint Operation ◽  
Spinning Reserve ◽  
Electric Company ◽  
Load Demand ◽  
Constrained Programming

This paper raises a model which concerns about spinning reserve capacity of output and predicted error based on chance-constrained programming. The distribution function is established on the load demand of electric vehicles. Considering the complementarities of electric vehicles and small hydro and wind power generations, this paper constructs a dispatch model on the participation of electric vehicles in reserve capacity and peak regulation. Joint operation of different units in the system achieved by genetic algorithm examines the influence from joint dispatch of electric vehicles and small hydro and wind power generations on spinning reserve capacity and peak regulation plan, setting different values of confidence to make comparison of electric charge in the entire system. According to the real operation statistics of an electric company in a certain province, the reliability and accuracy of the model was guaranteed.

scholarly journals Local and Mesoscale Impacts of Wind Farms as Parameterized in a Mesoscale NWP Model

2012 ◽  
Vol 140 (9) ◽  
pp. 3017-3038 ◽  
Author(s):  
Anna C. Fitch ◽  
Joseph B. Olson ◽  
Julie K. Lundquist ◽  
Jimy Dudhia ◽  
Alok K. Gupta ◽  
...  
Keyword(s):  
Boundary Layer ◽  
Wind Speed ◽  
Kinetic Energy ◽  
Wind Farm ◽  
Weather Prediction ◽  
Wind Farms ◽  
Mean Flow ◽  
Thrust Coefficient ◽  
Near Surface ◽  
Neutral Boundary Layer

Abstract A new wind farm parameterization has been developed for the mesoscale numerical weather prediction model, the Weather Research and Forecasting model (WRF). The effects of wind turbines are represented by imposing a momentum sink on the mean flow; transferring kinetic energy into electricity and turbulent kinetic energy (TKE). The parameterization improves upon previous models, basing the atmospheric drag of turbines on the thrust coefficient of a modern commercial turbine. In addition, the source of TKE varies with wind speed, reflecting the amount of energy extracted from the atmosphere by the turbines that does not produce electrical energy. Analyses of idealized simulations of a large offshore wind farm are presented to highlight the perturbation induced by the wind farm and its interaction with the atmospheric boundary layer (BL). A wind speed deficit extended throughout the depth of the neutral boundary layer, above and downstream from the farm, with a long wake of 60-km e-folding distance. Within the farm the wind speed deficit reached a maximum reduction of 16%. A maximum increase of TKE, by nearly a factor of 7, was located within the farm. The increase in TKE extended to the top of the BL above the farm due to vertical transport and wind shear, significantly enhancing turbulent momentum fluxes. The TKE increased by a factor of 2 near the surface within the farm. Near-surface winds accelerated by up to 11%. These results are consistent with the few results available from observations and large-eddy simulations, indicating this parameterization provides a reasonable means of exploring potential downwind impacts of large wind farms.

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