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System and method to schedule the down time of wind turbines based on numerical weather forecasting Disclosure Number: IPCOM000220610D
Publication Date: 2012-Aug-09
Document File: 6 page(s) / 117K

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The Prior Art Database


In this disclosure, the system and method to schedule the down time of wind turbines based on numerical weather forecasting to help wind farm to reduce the downtime power loss and safety risks. By leverage the numerical weather forecasting, the optimized shutdown plan can improve the economic performance, such as reduction duplication outage, reduction down time when facing the high wind, and optimization on-site process path, improve the work efficiency. It also can reduce the safety risk, such as severe weather warning (such as ice warning, lightning warning), and balancing staff work. Additionally, the efficiency of plan making process is also improved.

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Page 01 of 6

System and method to schedule the down time of wind turbines based on numerical weather forecasting

   The wind turbines of a wind farm have to stop working everyday according to many reasons, such as maintaining, repairing, and rationing. For example, for a typical large-size wind farm, there are the shut-down plans in average every day, and the total power loss is 4 million kWh for a year.

   The down of the wind turbines means the economic loss, and also means the wind farm may not meet the annual power plan. For a common wind turbines (e.g. the capacity: 1.5MW) working in a normal status (mean wind speed: 5-10m/s), one hour down will lose 600 yuan. For a middle-size wind farm, if there are 10 hours down time per day in average, the total loss is 4 million per year.

   Additionally, the down time of a wind turbine is very crucial to the safety operation of a wind farm. E.g. working in a high wind is not safety.

Therefore, it is very necessary to build an optimized method to schedule the down time of wind turbines.

The schedule method most applied is to formulate the shutdown plan manually. They may also consider some general weather forecasting

results, such as"rain this afternoon".

There are many shortcomings with this method:

1) All plans are scheduled by human. It may not efficient and some underlying factors are hard to consider.

2) Do not minimize the loss of the down plan. E.g. plan a stop at a high wind speed. This may cause a huge amount of power loss.

3) Do not consider the relation of the different demands. E.g. plan similar functional demands at different time. It is very hard to be considered by human

4) Do not consider the working path optimization


Page 02 of 6

  Based on the above discussion, the disclosure is proposed to schedule the down time of wind turbines based on numerical weather forecasting. It performs the qualitative analysis based on treating the wind turbines as a network by considering their path distances to optimize the relations of different plans. It also performs the qualitative analysis based on the numerical weather prediction (NWP) for the single wind turbine to optimize the economic loss

The shutdown plan is formally defined as following in this disclosure:

1) Priority, to show the priority to arrange a plan

2) Time slot, to give the start time and end time of a plan

3) Relaxed time, to give the variable time

4) Targets, to show which target will be shut down


The following chart shows the framework of the system:


Page 03 of 6

Figure 1 the framework of the system

   The nwp for each single wind turbine is computed daily. When the system receives the original shutdown plan, it will be formatted as a formal one. As the inputs, the safety risk and power is also predicted within the plan time. Then by the below formulation, the power loss of the wind farm is minimized by optimizing the best shutdown time of each plan.

  Which Pitis the power...