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OPTIMIZING MAINTENANCE OPERATIONS AT WIND FARMS

IP.com Disclosure Number: IPCOM000243102D
Publication Date: 2015-Sep-15
Document File: 7 page(s) / 328K

Publishing Venue

The IP.com Prior Art Database

Abstract

A technique for optimizing the maintenance operations at wind farms is disclosed. The technique includes a production historian module, a weather forecast module, a daily wind production module, a production loss forecast module, a task creation module, a daily schedule process module, a work order schedule module, and a task historian module. The daily wind production module stores data related to wind production by turbine for each hour along with weather data. The day-ahead weather forecast module includes data related to hourly weather for subsequent day. The production loss forecast module includes data related to production loss for each turbine for every hour. The task creation module creates schedules of various tasks. The daily scheduling process module creates a “plan of the day.” The work order schedule module stores complete details of maintenance crews. The task historian module stores data related to actual task and related processing time. The technique disclosed herein efficiently optimizes daily maintenance plans over a service area comprising one or more wind farms that are serviced by multiple crews.

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OPTIMIZING MAINTENANCE OPERATIONS AT WIND FARMS

BACKGROUND

The present disclosure relates generally to wind turbines, and more particularly to a technique for optimizing maintenance operations at a wind farm.

Generally, a site manager of a wind farm makes a schedule on a daily basis, and the schedule is often sub-optimal.  Maintenance scheduling for large farms is complicated due to the large numbers of wind turbines.  The schedule is first made at the start of each day and then may be amended if unplanned events take place during the day.  Efficiency of site managers for making schedules differs. Thereby, there is a lack of consistency and uniformity in schedule quality. 

There exist various conventional techniques for optimizing the maintenance operations in wind farms.  Service planning tools for wind turbines are often limited to managing and optimizing the operations of individual turbines only.  Predictive maintenance techniques typically only predict when maintenance is required.  The existing tools do not optimize operations at the farm level by considering factors such as travel times between turbines and crew locations, even though performance guarantees are offered  at a wind farm level.

It would be desirable to have an improved technique for optimizing the maintenance operations at wind farms. 

BRIEF DESCRIPTION OF DRAWINGS

Figure 1 depicts a system for optimizing maintenance operations.

Figure 2 depicts a daily scheduling process.

Figure 3 depicts task prioritization for a day.

Figure 4 depicts a work order scheduling.

Figure 5 depicts a scheduling algorithm for a single crew.

Figure 6 depicts a scheduling algorithm for multiple crews.

DETAILED DESCRIPTION

A technique for optimizing maintenance operations at wind farms is disclosed.  Figure 1 depicts a system for optimizing the maintenance operations.  The system includes a production historian module, a weather forecast module, a daily wind production module, a production loss forecast module, a task creation module, a daily schedule process module, a work order schedule module, and a task historian module. 

The daily wind production module stores data related to wind production by turbine for each hour along with weather data.  The day ahead weather forecast module includes data related to weather for subsequent days.  The production loss forecast module includes data related to production loss for each turbine for every hour using an hourly day-ahead weather forecast.  The task creation module creates new tasks using various tools, such as SCADA (Supervisory Control and Data Acquisition) logs, PulsePOINT,  manual scheduling such as a punch list item, or other maintenance tools generally known in the art. The daily scheduling process module creates a “plan of the day.”  The work order schedule module stores complete details of one or more maintenance crews.  More specifically, the work order schedule module stores details of which maintenance crew is worki...