Demand Smoothing in Military Microgrids Through Coordinated Direct Load Control

In small microgrids and individual branches of a bulk electrical grid, the aggregate electrical load can contain significant and frequent peaks caused by large individual loads. These peaks can reduce overall system efficiencies if generation resources, e.g., diesel generators, are dispatched based on peak demand. This problem is particularly severe in military forward operating base (FOB) microgrids, in which the load profile is dominated by environmental control units (ECUs) that operate under thermostatic control. Leveraging the intrinsic energy storage capabilities associated with large loads such as these ECUs and coordinating their operations across neighboring facilities provides an opportunity to reduce peak demand while maintaining system performance. Using a military FOB microgrid as a use case, this paper presents two direct load control (DLC) algorithms for coordinating ECU operations and reducing peak demand. This coordinated control is demonstrated through simulations and field tests at the U.S. Army’s Base Camp Integration Laboratory using novel controller hardware. Both simulation and field tests indicate that the DLC algorithms can reduce peak loads by 25% or more without sacrificing thermal comfort.

[1]  Daniel Zimmerle,et al.  Constrained optimum generator dispatch for fuel consumption minimization , 2013, 2013 IEEE Power & Energy Society General Meeting.

[2]  Jay F. Whitacre,et al.  Evaluating the value of batteries in microgrid electricity systems using an improved Energy Systems Model , 2015 .

[3]  Yu Zhang,et al.  Modeling of Electric Water Heaters for Demand Response: A Baseline PDE Model , 2014, IEEE Transactions on Smart Grid.

[4]  Shengwei Wang,et al.  A direct load control strategy of centralized air-conditioning systems for building fast demand response to urgent requests of smart grids , 2018 .

[5]  Wenchuan Wu,et al.  Distributed optimal residential demand response considering operational constraints of unbalanced distribution networks , 2018 .

[6]  Chi-Min Chu,et al.  A direct load control of air-conditioning loads with thermal comfort control , 2005, IEEE Power Engineering Society General Meeting, 2005.

[7]  Ning Lu,et al.  An Evaluation of the HVAC Load Potential for Providing Load Balancing Service , 2012, IEEE Transactions on Smart Grid.

[8]  Jianhui Wang,et al.  A Distributed Direct Load Control Approach for Large-Scale Residential Demand Response , 2014, IEEE Transactions on Power Systems.

[9]  Sven Leyffer,et al.  Optimal design and dispatch of a system of diesel generators, photovoltaics and batteries for remote locations , 2017 .

[10]  John A Olabode Analysis Of The Performance Of An Optimization Model For Time-Shiftable Electrical Load Scheduling Under Uncertainty , 2016 .

[11]  A. D. de Almeida,et al.  Technical and economical considerations in the application of variable-speed drives with electric motor systems , 2005, IEEE Transactions on Industry Applications.

[12]  Vijay Arya,et al.  Individual and Aggregate Electrical Load Forecasting: One for All and All for One , 2015, e-Energy.

[13]  Ryan L Kelly Optimizing Gas Generator Efficiency in a Forward Operating Base Using an Energy Management System , 2013 .

[14]  S. Ali Pourmousavi,et al.  Real-time central demand response for primary frequency regulation in microgrids , 2013, 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT).

[15]  M. L. Crow,et al.  Computer models for microgrid applications , 2011, 2011 IEEE Power and Energy Society General Meeting.

[16]  Sreenidhi Krishnamoorthy,et al.  Efficiency optimization of a variable-capacity/variable-blower-speed residential heat-pump system with ductwork , 2017 .

[17]  Mesut Avci,et al.  Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing , 2013 .

[18]  Geng Yang,et al.  Siting and sizing method of energy storage system of microgrid based on power flow sensitivity analysis , 2009 .

[19]  Giovanna Oriti,et al.  Reducing Fuel Consumption at a Remote Military Base: Introducing an energy management system. , 2013, IEEE Electrification Magazine.

[20]  Yu Zhang,et al.  Centralized and decentralized control for demand response , 2011, ISGT 2011.

[21]  Steven B. Leeb,et al.  Power signature analysis , 2003 .

[22]  Steven B. Siegel,et al.  Sustain the Mission Project: Casualty Factors for Fuel and Water Resupply Convoys , 2009 .

[23]  Giovanna Oriti,et al.  Reducing fuel consumption in a forward operating base using an energy management system , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[24]  M.H. Nehrir,et al.  Demand response for smart microgrid: Initial results , 2011, ISGT 2011.

[25]  R. Stephenson A and V , 1962, The British journal of ophthalmology.

[26]  Na Li,et al.  Optimal Residential Demand Response in Distribution Networks , 2014, IEEE Journal on Selected Areas in Communications.

[27]  Giovanna Oriti,et al.  Optimized energy management system to reduce fuel consumption in remote military microgrids , 2016, 2016 IEEE Energy Conversion Congress and Exposition (ECCE).

[28]  S. Ali Pourmousavi,et al.  Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation , 2014, IEEE Transactions on Smart Grid.

[29]  Shuaixun Chen,et al.  Sizing of energy storage for microgrids , 2012, 2012 IEEE Power and Energy Society General Meeting.

[30]  S. C. Tan,et al.  Use of Hooke's law for stabilizing future smart grid — The electric spring concept , 2013, 2013 IEEE Energy Conversion Congress and Exposition.

[31]  John Donnal,et al.  Accounting for Every Kilowatt , 2014 .

[32]  Peter R. Armstrong,et al.  Predictive pre-cooling of thermo-active building systems with low-lift chillers , 2011 .

[33]  N. Hadjsaid,et al.  Air conditioner direct load control in distribution networks , 2009, 2009 IEEE Bucharest PowerTech.

[34]  Spencer C Shabshab Fuel-conserving environmental control strategies for small Islanded microgrids , 2018 .

[35]  Rangan Banerjee,et al.  Optimum sizing of battery-integrated diesel generator for remote electrification through design-space approach , 2008 .

[36]  Thillainathan Logenthiran,et al.  Demand Side Management in Smart Grid Using Heuristic Optimization , 2012, IEEE Transactions on Smart Grid.

[37]  John G Sprague Optimal Scheduling of Time-Shiftable Electric Loads in Expeditionary Power Grids , 2015 .