Energy Resiliency (ER) Assessments

   We have extensively studied ER and have published on the matter to be of value-added proposition to the aviation and aeronautics community, particularly when it comes to Resiliency Engineering® Assessments at airports/airfields; we also have several granted patents, such as: "Multi-Synchronization in Power Grids" (US 11,650,620 B2, US 11,907,010 B2, US 12,158,773 B2) and "Resilient Decision Systems and Methods" (US 11,862,977 B2, US 12,362,565 B2). ER Assessment Services have been one of our mainstay competencies, and some background information is provided as follows.


Figure 1: Rogowski Coil in Spatial Position Relation to the Primary Conductor

Apropos Reliable Resolution

   Historically, the high voltage transmission side of a power system has had an extensive monitoring and automation paradigm, via Supervisory Control and Data Acquisition (SCADA), Energy Management System (EMS), and Disturbance Monitoring Equipment (DME), among other layers. In contemporary times, the distribution level has received heightened attention, as it has become clear that substation-level monitoring and the decisions made can dramatically affect System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI), and Momentary Average Interruption Frequency Index (MAIFI) reliability metrics. Since large Capital Expenditures (CAPEX) are typically necessary to retrofit and/or implement advanced monitoring paradigms, contemporary times have seen an increase in the use of portable clamp-on power line measuring devices for the sake of convenience and cost. The prototypical design for portable clamp-ons has often centered upon the Rogowski coil for the sensor. The promising aspect of these clamp-on power line sensors resides in the fact that conventional Current Transformers (CTs) have several known disadvantages. For example, CTs typically contain a ferromagnetic core that consumes power due to hysteresis losses (e.g., core loss, via heat, due to the magnetization and demagnetization of the core, such as when current flows in the forward and reverse directions), and CTs can saturate (normally, the CT is reliable for generating a replica of the primary current waveform with a reduced magnitude that is in proportion to the turns ratio). When the CT is saturated, it no longer supplies the secondary current proportional to the primary current. The complexity around this accuracy issue (the highest CT ratio should be used for optimal measurements) must also be considered along with the operational complexity of potentially needing to de-energize certain circuits prior to the implementation of CT-centric Disturbance Monitoring Equipment (DME) (e.g., Digital Fault Recorders, Phasor Measurement Units, etc.). Hence, clamp-on sensors, predicated upon the Rogowski coil paradigm, have shown promise. However, for high-resolution requirements, the clamp-on sensor paradigm may not be the most optimal approach, as clamp-on sensors utilize the current induction principle, and there is a parasitic air gap between the conductor and the clamp-on sensor. For some, this is considered to be an inherent disadvantage of the clamp-on paradigm, as the air gap directly impacts the resolution of the measured value. While the involved Rogowski coil can be designed to be more insensitive to parasitic air gaps and magnetic fields, it can potentially be beset by still other issues, such as capacitively induced signals (as the cables used for industrial equipment systems may carry high voltages that change at high rates) and a strong reduction of the output signal at discrete notch frequencies (the lowest of which defines the effective bandwidth of the coil). While larger terminating resistances may mask the effect of sub-optimal orientations, larger terminating resistances not only change the magnitude of the output, but also segue to substantial changes to the involved waveform (in contradiction to the effect of a large value for the number of turns N). In addition, larger terminating resistances lead to a more substantive effect by the involved shielding. Apart from the described parasitic air gap and the magnetic fields issues, the movement of the conductor in relation to the clamp-on sensor (such as caused by high wind), such as shown in Figure 1, also affects the resolution of the measuring value, as the ensuing results from each position shift of the conductor within the clamp-on sensor (e.g., angle change as well as any deviation from the central position of the primary conductor) results in differing values.


   We can leverage our experience and make certain recommendations as to the most optimal paradigm. For example, for targeted installations, wherein sensors are needed to resolve a particular issue/technical challenge, such as oscillation detection and/or source identification, if certain Disturbance Monitoring Equipment (DME) (e.g., Phasor Measurement Units or PMUs) installed with Potential Transformer (PT) and Current Transformer (CT) inputs at the substation cannot provide the requisite resolution, then clamp-on Rogowski coils would likely not be able to as well. Having said that, we can assist in selecting/affirming the apropos Rogowski coil size, and we have extensive simulation experience regarding Rogowski coils and PMUs.


Figure 2: Probabilistic Directed Acyclic Graph (PDAG)
showing from System Instability to Power Oscillation

Oscillation Mitigation

 In contemporary times, power grids are oftentimes highly interconnected and operated very close to the stability limits in transient and steady state modes. Accordingly, in some cases, among various causes, small disturbance signals (i.e., weak signal) can be one of the key contributors for inducing power oscillations within an interconnected grid, such as shown in Figure 2. When a particular frequency is continually excited from such a disturbance within the system (e.g., a sudden change of the load and generation in the system), the ensuing power oscillation (particularly when under a lightly damped paradigm) and instability of the system can lead to not only a tripping of tie-lines (load) (e.g., via protective relay trips), but also equipment damage, malfunction of the control and protection system, cascading outages, and collapse of the involved system. To address and mitigate against the power oscillation issue, the electric utilities need to detect for the oscillation. The preferred approach is for the electric utility to capture the full oscillation waveform. However, in many cases, the involved electric utility may only opt to detect for the fundamental value, and components such as harmonics, interharmonics, and subharmonics are often neglected. Technically, a sufficiently high-resolution telemetry data monitoring system can detect for this. Yet, many “high-resolution” devices still struggle with fundamental capabilities, such as sufficient resolution. Telemetry data of insufficient resolution will likely result in key patterns not being able to be discerned. Accordingly, multi-resolution and higher-resolution telemetry data from power systems are needed to facilitate more opportunities for utilizing a wider range of data analysis methods for detecting and analyzing the involved complex events. Several issues pertaining to the power oscillation detection problem have been recognized, such as the challenge to perform online tracking of power oscillation modes, the speed of analysis, and noise detection/filtering fidelity during the power oscillation event. Moreover, in order to detect for certain types of oscillations, it is necessary to measure interharmonic phasors along with the synchrophasors. However, many phasor measurement units (PMUs) in the market are not capable of measuring the interharmonic phasors.


   According to C37.118, measurements must be specified as to whether they belong to Protection class (P-class) or to Measurement class (M-class). Typically, P-class exhibits faster response time, but it is often less precise, and M-class typically exhibits slower response time; yet, it is often more precise (although it does have sub-optimal performance when the power system frequency is off-nominal). This is operationalized by extending the data object ClcMth defined in IEC 61850-7-4, wherein ClcMth denotes the calculation method and specifies the method by which the data attributes (representing the analog values) have been calculated. Subclause C.3 focuses upon harmonic filtering, and this ranges from lower-order to higher-order. Yet, the goal for any root cause analysis, by way of example, is to detect, isolate, and classify harmonic oscillatory instabilities, which includes lower-order as well as higher-order. Over the years, we have garnered the experience to make certain recommendations in this regard, such as for AI-facilitated oscillation source detection and classification.


Figure 3: Assessing for Architectural Brittleness: Resiliency Engineering®

Scrutinizing for Architectural Brittleness: Resiliency Engineering®

   Typically, a distribution substation has a connection, via a transmission line, from a transmission substation. The distribution substation then distributes electric power to end users (e.g., industrial, commercial, and residential consumers). A terminal distribution substation is a particularly critical substation, as it supplies electric power to Strategic/Critical Infrastructure (SCI), such as to an international airport and/or military airfield (both of which require high reliability, stability, and resiliency). The reliability metrics are typically in the form of System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), Customer Average Interruption Duration Index (CAIDI) (which is simply SAIDI divided by SAIFI), and Momentary Average Interruption Frequency Index (MAIFI). It is widely acknowledged that a substantive portion of customer interruptions can be attributed to failure at the distribution level, so it is crucial to strive for a more robust distribution network paradigm. As one example, enhancing resiliency within a distribution network often centers upon the ability to switch to backup distribution feeders; the involved architectures typically involve various feeders connected through normally open tie switches, but the switches can also be closed when needed so as to temporarily transfer interrupted customers to adjacent feeders during outages. The described is referred to as Feeder Reconfiguration (FRC). In essence, the involved distribution system is reconfigured by closing tie (normally-open) switches (to re-energize healthy segments) and opening sectionalizing (normally-closed) switches (to isolate faulty segments). A greater number of switches typically also yields a greater number of possibilities for reconfiguration. A distinct advantage of FRC is that the opening and closing of switching devices does not usually result in additional costs for distribution utilities, and the paradigm of FRC can be enhanced by mechanisms, such as Fault Detection, Isolation, and Service Restoration (FDIR) (a.k.a., Fault Location, Isolation, and Service Restoration (FLISR). The more robust FDIR paradigms might also involve the use of Advanced Distribution Management Systems (ADMS). Whatever the case, in more circumstances than desired, CAPEX is undertaken, but the overall architectural paradigm actually becomes more brittle. In other words, the new construction and architectural changes effectuated, for some observed cases, do not actually address either FRC or FDIR. Furthermore, the introduced complexity, while not addressing FRC/FDIR, may actually decrease the resiliency of the involved system.


   A robust FRC can assist with a more balanced feeder loading (this more optimal utilization prevents overstressing system components) and facilitate improved regulation of voltages, reduced system losses, and higher reliability (at a lower cost). Typically, the prevailing goal would be to avoid aberrant voltages and transformer-overload issues (as well as voltage and thermal constraint issues) while concurrently minimizing power losses. Distribution System Operators (DSOs) favor a robust FRC ability to improve their Quality of Service (QoS) and hosting capacity. Generally speaking, DSOs concur that an apropos FRC capability can be indeed effectuate a noticeable reduction of losses. We can make recommendations as to how to enhance your system architecture (and avoid the brittleness trap). Specifically, we can assess your system architecture to ensure that, under exigency circumstances, the topology of the distribution paradigm at the involved terminal distribution substation is FRC-optimized and can readily be re-arranged so that key SCI nodes retain electrical service while a maximal number of customers also retain service.

We perform assessments

   Over the past several years, we have performed assessments at airfields around the world. In particular, our core competencies center around Energy Resiliency Assessments, Global Positioning System (GPS) Assessments, and Cyber Electromagnetic Spectrum Assessments. Our assessment methodology has been affirmed by various governmental teams around the world and was feted at a scientific academy.

  • Our vision

    To become a premier service provider to the aviation community.

  • Our mission

    To provide value-added proposition to the aviation and aerospace sector, via certain assessment competencies.

  • Our assessment core competencies

    We are continually honing our skills in the field and are active within our sector. We specialize in using AI-centric tools and methodologies in our assessment work.

  • Our dedication to the community-at-large

    Our work over the past several years has had a definitive impact in enhancing resiliency at airfields around the world. We look forward to the privilege and honor of serving the aviation and aerospace communities as well as the global community-at-large for many years to come.

Contact Us

by email: info@vtaviationaerospace.com
by phone: +619 550-3058

Our Collaborative Space/
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1855 First Avenue, Suite #103,
San Diego, CA 92101

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101 South Garland Avenue, Suite #108,
Orlando, Florida 32801


We cherish our prior efforts and look forward to our new activities!