Future of satellite-enabled recloser monitoring and control
Satellite-enabled connectivity technologies are playing a pivotal role in accelerating digital transformation across the utilities sector, extending the reliability, efficiency and security of tomorrow’s smart grid.
With today’s electricity providers under pressure to consistently improve service quality and minimise outages, reliable connectivity is absolutely vital. Satellite is an increasingly important tool - particularly for providers in remote areas - where it helps in eliminating cellular coverage dark spots and working as a highly reliable backup communications system when other connectivity networks fail.
Smart grid technologies are numerous, but they predominantly include centralised automated reclosers, advanced metering infrastructure (AMI) and substation automation. In this article, we consider the connectivity needs of one of the most important, recloser monitoring and control, alongside two instructive case studies of companies benefitting from the latest satellite technologies.
Enabling centralised recloser monitoring and control
Circuit reclosers are considered an essential device to maintain maximum continuity of service, with their ability to sense and interrupt currents in the event of a fault. Decentralised reclosers operate in isolation and are programmed to trip and reset without the need for connectivity networks, while centralised reclosers are connected to a central control room and allow much greater visibility and control over a grid.
While providers often use a variety of both types, the problems with decentralised reclosers are they are not “connected” and cannot be monitored or operated remotely, and once tripped they often transition to a lockout state, which means engineers need to travel to restore functionality, causing lengthy outages and costing the provider money. That’s why, with many providers operating over wide and remote geographies, smart grid management using centralised reclosers and SCADA is an increasingly desirable route.
The challenge, however, is twofold. Firstly terrestrial connectivity may not be available at all in parts of an electricity distribution network, and secondly if it does exist it might be subject to blackouts or, if it is in a city it may be overloaded. So without satellite, electricity companies have either had to use decentralised reclosers with their various limitations or they have used centralised reclosers that don’t always work. Neither is an ideal scenario.
Case study 1: Ergon Energy, Australia
Ergon Energy maintains and manages the regional electric distribution network across Queensland, Australia. They provide energy for over 720,000 homes and businesses, covering 97% of the state.
Ergon Energy has installed hundreds of reclosers throughout their network, with a significant number operating in the most isolated parts of the state, areas in which traditional terrestrial and cellular connectivity methods are limited or not available. Therefore, they needed a single, ubiquitous, reliable network that was impervious to natural disasters and weather events, while providing a high level of security.
Inmarsat’s BGAN M2M service met those requirements, providing a seamless, easy to integrate, real-time, IP-based connectivity service to remotely monitor, control and manage Ergon Energy’s recloser network. Click here to read more.
Case study 2: Cemig, Brazil
Cemig is the largest integrated electric power company in Brazil, with 83 power stations and participation in nearly 200 companies and consortia in 22 Brazilian states and the Federal District. One of the main problems that Cemig faces as an electric distribution company is in improving cellular connectivity performance in remote areas of Minas Gerais.
OnixSat and Inmarsat developed a solution based on satellite connectivity to enable Cemig to increase availability and improve its remote controlling of reclosers. The solution connects the reclosers to Inmarsat’s L-band satellite network, in order to ensure the effectiveness of the commands issued to the reclosers by Cemig’s Center of Operations.
The collaboration produced impressive results for Cemig. Before deploying the solution, Cemig had an effective availability of remotely controlling the reclosers in the remote recloser project of under 90%. After deployment of the solution this indicator now shows an average of 98%. Click here to read more.
Reliable and cost-effective satellite solutions
IP over satellite is demonstrably the most reliable and cost-effective option to remotely monitor and control centralised reclosers in areas where terrestrial connectivity is unreliable. Inmarsat’s BGAN M2M service is used on over 10,000 reclosers around the world and has been trusted as the industry standard by electricity providers for over a decade.
The BGAN M2M service operating on Inmarsat’s L-band network is the ideal satellite solution for recloser monitoring and control, as it provides up to 99.9% uptime in any continental location, aside from the far poles, even in adverse weather conditions, such as heavy rain, where other satellite services struggle.
The service features robust and compact terminals which are easy to install and can withstand hostile environmental conditions with a lifespan up to or exceeding ten years. With a low monthly data usage and long hardware lifespan the total cost of ownership for the service is minimal compared to the cost of dispatching technicians to resolve issues, with the benefit of achieving a higher continuity of service.
New Perception of "Complete" with Connected Field Execution
Our individual perception of reality is often a direct result of our experiences. For example, if you’re in your kitchen prepping a cheeseburger with the lettuce, tomatoes, cheese and bun, you might see your “project” as about half done, just waiting for the patty. The person at the grill in charge of cooking the patty, however, may see the same project as 90% done once their step is complete, with all those other items needed to make a complete cheeseburger as just “extras.”
Translate this idea to construction execution, where instead of a burger you have a foundation with an integrated slab. One engineer might look at the excavated footing and intricately placed rebar and say we're about half done. But that slab could be 10,000 square feet, broken into multiple pours and much larger than the exterior footing. Until you make progress pouring the slab, you really can't say that you’re about half done with such an operation. So, how can we add reality to what each party perceives as “complete” without overcomplicating our progress workflows? By standardizing realistic progress tracking details and seamlessly submitting them through real-time, connected data processing.
Slicing and Dicing Complex Data — Tradition versus Technology
Think back to the most extreme level of detail you were ever asked to track during construction work planning and execution. How did you manage to do it? While crews have traditionally managed by working off a printed to-do list, more often than not, we see customers migrating to the engineer’s best friend; a spreadsheet of some sort. One might argue that this is using technology to simplify things, but in such a disconnected state, it may not be the best option.
Let’s say you’re dealing with the electrical side of a project. Cable, conduit, cable tray, boxes; all these different electrical components are very detailed, very specific and often in huge volumes. Tracking each of the cables on every project can be extremely difficult, often expanding your list by 500 to 10,000 extra line items. Plus, you’re not only tracking where they're being installed but also the inventory. Is there enough cable on site to continue? Will the team be ready on time where the cable is to be installed next?
Trying to capture where they go and when they are installed on a to-do list can be daunting. In fact, one of my colleagues once had to print 11 X 17 copies of the cable schedule, carry them out to the field and physically mark items complete on paper. Then he had to come back and enter all that data into each of the siloed systems, including the progress spreadsheet. Definitely not a fun process, and time wise, it took him an average of three extra hours a day on top of his eight-hour shift. But it’s from experiences like this that we can begin to understand the true importance of technology and why it's crucial to eliminate duplicate entry and manual tracking in the field to not only bring data together, but save so much time, money and frustration.
With today’s connected data technology, you can deal with complex, large amounts of progress data that don't naturally translate well from one business process to another — from high-level budget codes to detailed quantity step in the field. This is the challenge that technology can solve; how to slice and dice data sets, especially when they're not in the same format, and aggregate them back together again.
Standardizing Details to Remove Unconscious Data Biases
While connected data flows and the end of manual entry are great, standardization is the true key to a more accurate picture of reality. Suppose you were to ask a superintendent, what percent complete are you on this scope of work? They’d put their thumb in the air, tilt their head one way, and finally say 50%. But what if, in reality, you’re only 48% complete with that scope of work? (We know that people tend to round up, not down due to optimism bias.) That 2% may not seem like a huge difference to them on paper, but if that scope of work is worth $10 million, then 2% is throwing your forecast off by $200,000.
And as the numbers keep getting bigger, how much of your forecast will you really be able to rely on? As different people on the jobsite continue to give you their best guesses, you begin to see a sway with where things are in your forecast. The fallout out from these inaccurate guesses can lead to the misidentification of issues that could have been be resolved, as well as problems with your schedule. Because when we're talking percent complete, we're really looking at how everyone is performing against both cost and schedule.
By introducing standardization, you can also start to become a learning organization. For example, if we dissect an erect and strip formwork code into weighted steps of 60% for form and 40% for strip early on, we may eventually find that we are not spending that much up front. Maybe it's really 55% for form and 45% for strip. When you start learning as a team through standardization, you can make those decisions at an organizational level, meaning that everyone is standardized — and adjust accordingly for overall success. People start trusting those numbers, and that builds confidence in the progress you’re reporting and in its accuracy. Then, you can start making informed decisions on that data.
Aggregating Project Data in the Fewest Steps Possible
Another place where it has been traditionally tough with paper and spreadsheets is in the steps needed to aggregate progress data for different reports or dashboards. Fortunately, this is also an area where connected data can help. Say that you took what was a single weld and broke out the important steps, including quality steps that could quite literally make or break that weld. How will you take these simple counts of welds and slice that into the very important detail of what is safe?
With connected data software, now you not only know at a glance if the weld is complete on a high-level report, but you can also drill down into a more granular view of who completed each step and signed the final paperwork. It is this kind of component-level detail you need to see, when you need to see it. The power of that detail is magnified because those components sit below all your different work breakdown structures. Progress data can now roll up to schedule activities in a more precise manner, to cost structures, or even roll up to some alternative structure like turnover packages or test plans to see progress in those phases.
Why does all of this matter? Because now you know you have eliminated the optimism bias and your own personal biases in the tracking of work progress. It’s very exciting to be able to have progress tracking that is this accurate with percent complete fed to all these different higher-level structures in such detail, with no manual intervention required. Because when you have all of the data digitally tallied among thousands of items — whether you are talking about welds or the piece marks of steel or the cable schedule — if you associate the correct metadata to those items, you can easily roll that structure back up into whatever you need it to be.
A Culture of Connected Learning From the Field
Making all of this detail accessible to all of your stakeholders is not only going to help with progressing data, but it will also increase project certainty for everyone. The procurement group will know when to make a requisition based on how things are tracking. The accounting department will have all of the data they need to process billing. And the leadership team will have trust in the information because it’s coming directly from the field with standardized detail.
Perhaps most importantly, you can take information from past projects and use it on the next estimate to confidently win more work while you enhance construction work planning and operation efficiency through lessons learned. And that kind of learning starts to have a ripple effect. The improvement in efficiency makes data more reliable, makes accurately tracking progress in the field easier, and allows your team to remove the guesswork from progress tracking.
However long you may have been working in the field, there will always be an element of bias in what you perceive at a glance to be complete. But with today’s connected data technology, you can remove this bias through a standardized level of detail for tracking progress in the field and a real-time connection back to each work breakdown structure. The time is right to add certainty to your projects and remove the “thumb in the air” guesswork of what is truly complete.
InEight's connected construction analytics solutions help you make real-time decisions because you’re gaining visibility into metrics, KPIs and trends, driving continuity in operations. Request a demo.