Ivory Tower of Power: Microgrid Implementation at the University of California, San Diego

Washom, B.; Dilliot, J.; Weil, David; Kleissl, Jan; Balac, Natasha; Torre, William; Richter, Christoph

doi:10.1109/mpe.2013.2258278

Cited by 55 publications

(31 citation statements)

References 2 publications

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“…A fast platform to perform the proofs of concept and case studies is then beneficial for the innovation vein. Some steps have been taken toward innovation like in [78], where a "lab to market" example is shown; however, their lab is comprised by the real installed systems, and besides the validation being definitive, evaluation and testing cannot be freely performed as in a simulated environment.…”

Section: Rt Simulation Toward Innovation and Research On Sgmentioning

confidence: 99%

Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment

et al. 2017

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Abstract:The smart-grid approach undergoes many difficulties regarding the strategy that will enable its actual implementation. In this paper, an overview of real-time simulation technologies and their applicability to the smart-grid approach are presented as enabling steps toward the smart-grid's actual implementation. The objective of this work is to contribute with an introductory text for interested readers of real-time systems in the context of modern electric needs and trends. In addition, a comprehensive review of current applications of real-time simulation in electric systems is provided, together with the basis to understand real-time simulation and the topologies and hardware used to implement it. Furthermore, an overview of the evolution of real-time simulators in the industrial and academic background and its current challenges are introduced.

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Section: Rt Simulation Toward Innovation and Research On Sgmentioning

confidence: 99%

Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment

et al. 2017

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“…The system services a community of 54,000 residents who have increasingly sophisticated and growing demands. 8 UCSD's master controller and optimization system currently self-generates 92 percent of its own annual electricity load and 95 percent of its heating and cooling load. A goal of self-sufficiency and main grid independence by 2016 has been established.…”

Section: Ucsd Smart Gridmentioning

confidence: 99%

“…A pioneering 2.8-MW fuel cell utilizing directed biogas from the local wastewater treatment plant, 3 MW of photovoltaic (PV), and a 30-kW/30-kWh PV fully integrated storage system all operate in conjunction with an EPA Star Award 27-MW combined cooling, heat, and power plant and a 4 million gallon thermal storage system. 8 To utilize the smart grid to its fullest extent, UCSD has several ongoing collaborative efforts with global and local government, as well as enterprise and research communities, to improve management and efficiencies of smart grid operations addressing demand response, excess generation, renewable supply load balancing, and power outages.…”

Section: Ucsd Smart Gridmentioning

confidence: 99%

"Green Machine" Intelligence: Greening and Sustaining Smart Grids

Balac

2013

IEEE Intell. Syst.

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the grid a two-way street, with information and even power fl owing in both directions. Traditional "passive" appliances and devices are giving way to "smart" ones, which incorporate active controls and data reporting. The combination of the bidirectional power and information fl ow, when coupled with the increased local autonomy of consumer devices, has given birth to the "smart grid" concept. The Smart GridThe enabling attribute of the smart grid is the "feedback" mechanism from the consumer to the producer. The ability of the consumer to provide usage data, and in some cases even power, that's sent back to the utility enables an entirely new paradigm of power distribution and control. Smart grid goals are focused on operating efficiently and resiliently to satisfy increasing demand, while maintaining lower operating costs, reducing environmental impact, incorporating renewables, and leveraging the existing legacy grid infrastructure. The bidirectional fl ow of both electricity and information in the smart grid allows for active demand management. Feedback from end-user applications enables demand to be actively managed in real time, facilitating electricity generation at scale from intermittent renewable sources. 1 Additionally, enabling active participation by consumers in demand response has created complex dynamic environments with the potential of generating greater effi ciency and resilience, while further reducing environmental impact. Novel algorithms, methods for learning, scheduling, and optimization techniques are needed to achieve these goals. Smart MetersThe development, implementation, and integration of the new equipment, appliances, and software to execute the technologies necessary to create and support the smart grid are an ongoing process. These emerging technologies have a variety of aims, including saving energy and pursuing lowest rates, as well as contributing to the smooth and effi cient functioning of the electric grid. Computerized controls for homes and appliances can now respond in automated ways to signals from the energy provider to minimize energy cost, reduce energy consumption at times of high-demand stress, or actively shift power use to times when power is available at a lower cost. 2 The usage of "smart meter" technology is becoming more prevalent. Smart meters implement local monitoring and control functions at the end-user's location, coupled with a communication link back to the energy supplier. The information from the smart meter can be run through a home energy management system (EMS). A home EMS enables easyto-use, real-time, digital energy usage tracking and provides opportunities for energy savings. The EMS may actively affect various (smart) appliances and electronic products, as well as avoid peak demand rates, help to balance the energy load, and prevent blackouts both manually and automatically.Such efforts have enabled the concept of demandside management to evolve as an approach to actively reduce energy demand during peak hours. The goal of demand side managem...

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“…Microgrid testbeds are useful tools for studying DER grid integration and the scientific literature shows several examples from simple laboratory testbeds [5]- [14] to real life microgrid implementations [15], [16]. By combining the PHIL techniques and computationally advanced real-time systems the flexibility is significantly improved.…”

Section: Introductionmentioning

confidence: 99%

A Power-HIL microgrid testbed: Smart energy integration lab (SEIL)

Huerta

Gruber

Prodanović

et al. 2014

2014 IEEE Energy Conversion Congress and Exposition (ECCE)

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Grid integration of distributed energy resources (DERs) is gaining importance in the field of power electronics research. Experimental evaluation of control strategies and detailed evaluation of power interfaces usually require significant allocation of time and resources. This is where the power-hardware-in-the-loop (PHIL) techniques help accelerate control design and evaluation processes. The paper presents a PHIL based microgrid testbed: Smart Energy Integration Lab (SEIL); that has been specifically constructed for studying grid integration aspects of DERs with a focus on system dynamic performance and power dispatch scenarios. The SEIL is equipped with a remotely controlled network configuration, power electronics converters, passive loadbanks, a battery storage system and real time control and acquisition systems that allow emulation of several microgrids and connection of several DERs at the same time. To demonstrate the functionality of the SEIL, the experimental results for two typical scenarios were used: a power dispatch scenario in a microgrid and a wind turbine operation in grid connection.

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Ivory Tower of Power: Microgrid Implementation at the University of California, San Diego

Cited by 55 publications

References 2 publications

Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment

Overview of Real-Time Simulation as a Supporting Effort to Smart-Grid Attainment

"Green Machine" Intelligence: Greening and Sustaining Smart Grids

A Power-HIL microgrid testbed: Smart energy integration lab (SEIL)

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