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Journal Paper Accepted at Springer’s Intelligent Industrial Systems Journal: Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems

The LIINES is pleased to announce the acceptance of the paper: “Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems” in Springer’s Intelligent Industrial Systems Journal. The paper is authored by Amro M. Farid and was published online at May 28th 2015.

Recently, the vision of academia and industry has converged, defining future power system as intelligent, responsive, dynamic, adaptive, and flexible. This vision emphasizes the importance of resilience as a “smart grid” property. It’s implementation remains as a cyber-physical grand challenge.

Power grid resilience allows healthy regions to continue normal operation while disrupted or perturbed regions bring themselves back to normal operation. Previous literature has sought to achieve resilience with microgrids capable of islanded operation enabled by distributed renewable energy resources. These two factors require a holistic approach to managing a power system’s complex dynamics. In our recent work (e.g. link 1 and link 2), we have proposed as means of integrating a power system’s multiple layers of control into a single hierarchical control structure.

In addition to enterprise control, it is important to recognize that resilience requires controllers to be available even if parts of the power grid are disrupted. Therefore, distributed control systems, and more specifically Multi-Agent Systems have often been proposed as the key technology for implementing resilient control systems. Multi-agent systems are commonly used to distribute a specific decision-making algorithm such as those in market negotiation and stability control. However, very few have sought to apply multi-agent systems to achieve a resilient power system.

The purpose of the paper entitled “Multi-Agent System Design Principles for Resilient Coordination & Control of Future Power Systems” is two fold. First, it seeks to identify a set of Multi-Agent System design principles for resilient coordination and control. Second, the paper assesses the adherence of existing Multi-Agent System implementations in the literature with respect to those design principles.

The set of design principles is based on newly developed resilience measures for Large Flexible Engineering Systems. These measures use Axiomatic Design and are directly applicable to the power grid’s many types of functions and its changing structure. These design principles, when followed, guide the conception of a multi-agent system architecture to achieve greater resilience.

About the author: Wester C.H. Schoonenberg completed his B.Sc. in Systems Engineering and Policy Analysis Management at Delft University of Technology in 2014. After his bachelors’ degree, Wester started his graduate work for the LIINES at Masdar Institute, which he continues as a doctoral student at Thayer School of Engineering at Dartmouth College in 2015. Currently, Wester is working on the integrated operation of electrical grids and production systems with a special interest in Zero Carbon Emission Manufacturing Systems.

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LIINES Website: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at the Journal of Intelligent Manufacturing: Measures of reconfigurability and its key characteristics in intelligent manufacturing systems

The LIINES is pleased to announce that the Journal of Intelligent Manufacturing has accepted our paper entitled: “Measures of reconfigurability and its key characteristics in intelligent manufacturing systems”. The paper is authored by Amro M. Farid and was published in October 2014.

Many manufacturing challenges arise with the global trend of increased competition in the marketplace.  Production processes must deal with shorter product lifecycles and mass-customization. Consequently, production systems need to be quickly and incrementally adjusted to meet the ever-changing products. Reconfigurable manufacturing systems have been proposed as a solution that facilitates changing production processes for highly automated production facilities.

Much research has been done in the field of reconfigurable manufacturing systems. Topics include: modular machine tools and material handlers, distributed automation, artificially intelligent paradigms, and holonic manufacturing systems.  While these technological advances have demonstrated robust operation and been qualitatively successful in achieving reconfigurability, there has been comparatively little attention devoted to quantitative design methodologies of these reconfigurable manufacturing systems and their ultimate industrial adoption remains limited.

Measuring reconfigurability of manufacturing systems quantitatively has been a major challenge in the past, since a quantitative reconfigurability measurement process was non-existent. Earlier work developed a measurement method that extracts measurables from the production shop floor. When this was established, basic measures of reconfiguration potential and reconfiguration ease were developed, based on axiomatic design for large flexible engineering systems and the design structure matrix respectively.

Reconfiguration of a production process can be split up in four steps: Decide which configuration, Decouple, Reorganize, and Recouple. The larger the number of elements in the system, the more configurations are made possible. This is measured using the reconfiguration potential measure, based on axiomatic design for large flexible engineering systems.

Production processes contain multiple interfaces within themselves. Multiple layers of control can be distinguished, that have to work together to coordinate the physical components. These interfaces are the main determinants for the reconfiguration ease measure.

This paper combines these techniques to define a quantitative measure for reconfigurability and its key characteristics of integrability, convertibility and customization.    The intention behind this research contribution is that it may be integrated in the future into quantitative design methodologies for reconfigurable manufacturing systems, which may be easily adopted by industrial automation and production companies.

About the author: Wester Schoonenberg completed his B.Sc. in Systems Engineering and Policy Analysis Management at Delft University of Technology in 2014. After his bachelors’ degree, Wester started his M.Sc. at Masdar Institute of Science & Technology. Currently, Wester is working on the integrated operation of electrical grids and production systems with a special interest in the demand side management of industrial facilities.

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LIINES Website: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at IEEE Transactions on Industrial Electronics: An Enterprise Control Assessment Method for Variable Energy Resource Induced Power System Imbalances. Part 2: : Parametric Sensitivity Analysis

We are happy to announce that our recent paper entitled: “An Enterprise Control Assessment Method for Variable Energy Resource Induced Power System Imbalances. Part 2: Parametric Sensitivity Analysis”, has been accepted to IEEE Transaction on Industrial Electronics. The paper is authored by Aramazd Muzhikyan, Prof. Amro M. Farid and Prof. Youcef Kamal-Toumi.

The variable and uncertain nature of the variable energy resources (VER) introduces new challenges to the balancing operations, contributing to the power system imbalances. To assess the impact of VER integration on power system operations, similar statistical methods have been used by renewable energy integration studies. The calculations are based on either the net load variability or the forecast error, and use the experience of power system operations. However, variability and forecast error are two distinguishing factors of VER and both should be taken into consideration when making assessments.

This paper uses the methodology from the prequel to systematically study the VER impact on power system load following, ramping and regulation reserve requirements. While often ignored, the available ramping reserve reflects the generation flexibility and is particularly important in the presence of VER variability. This provides a detailed insight into the mechanisms by which the need for additional reserves emerges. The concept of enterprise control allows studying the impact of power system temporal parameters as well as net load variability and forecast error holistically.

The application of an enterprise control assessment framework allows the empirical identification of the most influential parameters different types of resource requirements. The inclusion of the power system temporal parameters, such as day-ahead market (SCUC) and real-time market (SCED) time steps, is a particularly distinguishing feature of the work. Use of the case-independent methodology allows generalization of the results and prediction of how the system resource requirements change when one of the parameters varies. Moreover, the results reveal the degree of importance of each lever for the power system reliable operations which is crucial for the strategic planning of the grid modernization.

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Duke Energy on Analytics and the Internet of Things

It’s been a long time since 2003 when the concept of the Internet of Things was first proposed by U. of Cambridge Auto-ID Laboratory.  At the time, Dr. Amro M. Farid, now head of the Laboratory for Intelligent Integrated Networks of Engineering Systems, was a doctoral student investigating how RFID technology enabled intelligent products within reconfigurable manufacturing systems.  The Internet of Things was being applied primarily in the manufacturing and supply chain domain.

Since then, the Internet of Things concept has taken hold not just in manufacturing systems and supply chains but nearly every industrial system domain including energy.    Every “thing” or “device” has the potential to be connected via an intelligent sensor so as to make decisions — be they centralized within an operations control center — or distributed amongst artificially intelligent multi-agent systems.   The Internet of Things concept has the potential to fundamentally transform industrial systems.

Have a look at Duke Energy’s take on the Internet of Things:

The LIINES is proud to have been working in this area since its inception and continue to do so.  More information on our research can be found on the LIINES website.

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Journal Paper Accepted at ISA Transaction: Event Triggered State Estimation Techniques for Power Systems with Integrated Variable Energy Resources

The LIINES is happy to announce that ISA Transactions has accepted our recent paper entitled: Event Triggered State Estimation Techniques for Power Systems with Integrated Variable Energy Resources.  The paper is authored by Reshma C. Francy, Prof. Amro M. Farid and Prof. Kamal Youcef-Toumi.
In recent years, we have had the opportunity to contribute to two large studies that present visions of the future smart grid:  The MIT Future of the Electric Grid Study, and the IEEE Vision for Smart Grid Controls: 2030 and Beyond.  Both of these works emphasized that in order for the future grid to be truly smart, it has to be responsive, dynamic, adaptive and flexible.  This is the case even when highly variable renewable energy sources sources are plugged in.   The first step in achieving this vision is having greater “situational awareness” — knowing what is going on when and where in the grid.
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For decades, state estimation has been a critical technology in achieving such situational awareness for power system operators.   Over time, it has become quite the mature technology. But, the integration of renewable energy changes all that.  Not only does it introduce rapidly changing behavior into the grid; but it also does so in the low voltage distribution system where state estimation is not usually applied.   The conventional solution is to not just monitor the grid faster but also for the entire power grid all the way down to the low voltages.  That means that not only do all the power grid’s measurements have to be gathered from across power grid’s geography but they also have to computed at an ever faster rate.   This is an exponentially growing problem  — hardly a solution befitting a future “smart” grid.
This paper seeks to address these two requirements in a practical way.   The idea is to use a concept called “event-triggering”.  It takes advantage of the fact that the wind doesn’t always blow and the sun doesn’t always shine.  When local power grid conditions are highly variable, say at a wind turbine or solar panel, a “trigger” will kick in telling the state estimator to run.  But when the power grid is relatively stable, the new state estimator will use a simplified linear approach based upon the last time the full state estimator was run.  Relative to traditional state estimation, this simple solution has been shown to reduce computational time by 90% in numerical case studies.
While ultimately, in the long term, the smart grid will require a fundamental “rethink” in how to approach state estimation, monitoring, and situational awareness, this solution demonstrates how traditional state estimation techniques can be enhanced for future smart grid applications.
A full reference list of smart grid research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at Applied Energy Journal: Quantitative engineering systems modeling and analysis of the energy-water nexus

The LIINES is happy to announce that Applied Energy Journal has accepted our recent paper entitled:  “Quantitative engineering systems modeling and analysis of the energy–water nexus” for publication.  The paper is authored by William N. Lubega and Prof. Amro M. Farid.  

Electric power is required to extract, condition, convey, dispose of and recycle water for human use. At the same time, the bulk of global electricity generation capacity uses water as a heat sink or prime mover. This energy-water nexus is of growing importance due to increased demand for water and electricity; distortion of the temporal and spatial availability of fresh water due to climate change; as well as various drivers of more energy-intense water supply for example increased wastewater treatment requirements, and more water-intense electricity generation for example emissions control technologies at power plants.

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There are several notable published studies on this nexus. At a technology level, there have been attempts to optimize coupling points between the electricity and water systems to reduce the water-intensity of technologies in the former and the energy-intensity of technologies in the latter. Empirical determinations of the electricity-intensity of water technologies and the water-intensity of electricity technologies have been reported and analyzed. Various models that enable the exploration of the water resource implications of defined electricity sector development pathways and thus support the analysis of various water and electricity policies have also been developed. To our knowledge however, a transparent physics-based approach that interfaces a model of the electricity system to models of the municipal water and wastewater systems enabling an input-output analysis of these three systems in unison has not been presented. Such a modeling approach would support integrated control applications as well as integrated planning without a priori specification of development pathways, for example through optimization.

A paper recently published by the LIINES in Applied Energy titled Quantitative engineering systems modeling and analysis of the energy–water nexus presents such a systems-of-system model. In this work, bond graphs are used to develop models that characterize the salient transmissions of matter and energy in and between the electricity, water and wastewater systems as identified in the reference architecture. Bond graphs, which are graphical representations of physical dynamic systems, were chosen as the modeling tool as they facilitate the inter-energy-domain modeling necessitated by the heterogeneous nature of the energy-water nexus. Furthermore they clearly identify causality and readily allow for model enhancement as required by applications. The developed models, when combined, make it possible to relate a region’s energy and municipal water consumption to the required water withdrawals in an input-output model.  This paper builds on another LIINES publication entitled “A Reference Architecture for the Energy-Water Nexus” found in the IEEE Systems Journal.

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This research is of particular significance to countries in the Gulf Cooperation Council, all of which have limited fresh water resources and thus depend on energy-expensive desalination to meet a large portion of their water needs. This dependence enhances the degree of coupling between the electricity and water systems and thus the associated vulnerability concerns. Furthermore, motivated by the cogeneration of electric power and desalinated water, combined electricity and water authorities have been established in the region. The multi-energy domain model developed in this work is therefore of immediate relevance to the planning and control efforts of these existing institutions.

 

About the Author:

William N. Lubega conducted this research in collaboration with his Master’s thesis advisor Prof. Amro M. Farid in LIINES at the Masdar Institute of Science & Technology Engineering Systems & Management Department.  William is now a doctoral research assistant at the University of Illinois Urbana-Champaign Civil & Environmental Engineering department as part of the Energy-Water-Environment Sustainability Track.  There, he continues his energy-water nexus research in the Stillwell Research Group.

A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at the Energy Journal: The Impact of Storage Facility Capacity and Ramping Capabilities on the Supply Side of the Energy-Water Nexus

The LIINES is happy to announce that the Energy Journal has accepted our recent paper entitled:  The Impact of Storage Facility Capacity and Ramping Capabilities on the Supply Side of the Energy-Water Nexus.  The paper is authored by Apoorva Santhosh, Prof. Amro M. Farid and Prof. Kamal Youcef-Toumi.  It builds upon an earlier publication entitled:  Real-Time Economic Dispatch for the Supply Side of the Energy-Water Nexus which was summarized in an earlier blog post.

As previous blog posts have discussed, the topic of the energy-water nexus is timely.  In the Gulf Cooperation Council nations, it is of particular relevance because of the hot and arid climate.  Water scarcity is further aggravated high energy demands for cooling.  The GCC nations, however, have a tremendous opportunity in that they often operate their power and water infrastructure under a single operational entity.  Furthermore, the presence of cogeneration facilities such as Multi-Stage Flash desalination facilities fundamentally couple the power and water grids.

This paper expands upon the previously published economic dispatch problem to now include the impact of ramping rates and storage capacities.  The latter is shown to alleviate binding production constraints and flatten production levels to achieve lower costs.   Three cases studies are presented; a base case, a second case inspired by Singapore’s limited water storage availability, and a third case relevant to countries in the Middle East where water storage facilities can be readily constructed. Storage facilities are shown to reduce total operating costs by up to 38% and lead to less variable daily production suggesting that they have an important role to play in the optimization of the energy-water nexus.

A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at the Applied Energy Journal: Real-Time Economic Dispatch for the Supply Side of the Energy-Water Nexus

The LIINES is happy to announce that Applied Energy Journal has accepted our recent paper entitled:  Real-Time Economic Dispatch for the Supply Side of the Energy-Water Nexus.   The paper is authored by Apoorva Santhosh, Prof. Amro M. Farid and Prof. Kamal Youcef-Toumi.

As previous blog posts have discussed, the topic of the energy-water nexus is timely.  In the Gulf Cooperation Council nations, it is of particular relevance because of the hot and arid climate.  Water scarcity is further aggravated high energy demands for cooling.  The GCC nations, however, have a tremendous opportunity in that they often operate their power and water infrastructure under a single operational entity.  Furthermore, the presence of cogeneration facilities such as Multi-Stage Flash desalination facilities fundamentally couple the power and water grids.

This paper is the first of its kind to present an optimization program that would economically dispatch power plants, cogeneration plants, and water plants.  In such a way, significant costs and resources can be saved in the production of both power and water.   The paper concludes with an illustrative example of how the optimization program could be implemented practically.

A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu

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William Lubega presents Energy-Water Nexus Research at Complex Systems Design & Management Conference in Paris, France

On December 6th 2013, William Lubega and Prof. Amro M. Farid attended the Complex Systems Design & Management Conference in Paris, France.  William Lubega presented the jointly written paper entitled:  “An engineering systems model for the quantitative analysis of the energy-water nexus”.

This work builds upon the Reference Architecture for the Energy-Water Nexus recently published in the IEEE Systems Journal.  In our last blogpost, and as shown in the figure below, we described that this work provided a graphical representation of the energy-water nexus to qualitatively identify the couplings of energy and water.  The CSD&M paper was the first step in the quantification of this qualitative model using the bond graph modeling methodology.   As such, it could begin to answer questions about the energy intensity of the water supply chain and the water intensity of the energy supply chain in a rigorous and systematic framework.

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The aim of the CSD&M 2013 conference is to cover as completely as possible the field of complex systems sciences & practices.  It equally welcomes scientific and industrial contributions.

A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu

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Journal Paper Accepted at the IEEE Systems Journal: A Reference System Architecture for the Energy-Water Nexus

The LIINES is happy to announce that The IEEE Systems Journal has accepted our recent paper entitled:  “A Reference Architecture for the Energy-Water Nexus” for publication. The paper is authored by William N. Lubega and Prof. Amro M. Farid. The topic of the energy-water nexus is a timely one.  Global climate change, water scarcity, energy security and rapid population are at the forefront of sustainability concerns.  Furthermore, the fact that energy and water value chains very much depend on each other complicates how either system should be planned an operated.  And yet, the number, type and degree of interactions are hard to identify.  While the graphical depiction below illustrates many of the couplings, we are still a long way off from planning and operating this “systems-of-systems” sustainably.  And so we ask a first basic question:  “How can we begin to quantitatively understand the energy and water interactions in this nexus?” As the paper explains, a good first step is develop what systems engineers call a reference architecture.  Plainly speaking, this requires three steps:

  1. Figure out all the component parts of the energy-water nexus (e.g. power plants, water treatment plants, etc)
  2. Figure out how each one works
  3. Figure out the inputs and outputs for each one focusing especially on flows of energy and water.

This starts out qualitatively with flow diagrams like the one shown below: lubeg1 In a sense, this helps us to see the “wood from the trees”.  The web of energy and water interactions now become clear for further quantified analysis.  As the readers will see in the coming weeks, this is exactly what we have done at the LIINES. A full reference list of energy-water nexus research at LIINES can be found on the LIINES publication page: http://amfarid.scripts.mit.edu WhiteLogo2 LIINES Website: http://amfarid.scripts.mit.edu

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