We present experiments with combined reactive and
resistive loads on a testbed based on the Controlled-Delivery
power Grid (CDG) concept. The CDG is a novel data-based
paradigm for distribution of energy in smart cities and smart
buildings. This approach to the power grid distributes controlled
amounts of power of loads following a request-grant protocol
performed through a parallel data network. This network is
used as a data plane that notifies the energy supplier about
requests and inform loads of the amount of granted power. The
energy supplier decides the load, amount, and the time power is
granted. Each load is associated with a network address, which
is used at the time when power is requested and granted. In
this way, power is only delivered to selected loads. Knowing the
amount of power being supplied in the CDG requires knowing
the precise amount of power demand before this is requested.
While the concept works well for an array of resistive loads,
it is unclear how to apply it to reactive loads, such as motors,
whose power consumption varies over time. Therefore, in this
paper, we implement a testbed with multiple loads, two light
bulbs as resistive loads and an electrical motor as a reactive
load. We then propose to use power profiles for the adoption of
the request-grant protocol in the CDG concept. We adopt the use
of power profiles to leverage the generation of power requests
and evaluate the efficiency of the request-grant protocol on the
amount of supplied power. In addition, the deviation of delivered
power in the data and power planes is evaluated and results show
that the digitized power profile of the reactive loads enables the
issuing of power requests for such loads with high accuracy.
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Energy management algorithm for resilient controlled delivery grids
Resilience of the power grid is most challenged at power blackouts since the issues that led to it may not be fully resolved by the time the power is back. In this paper, a Real-Time Energy Management Algorithm (RTEMA) has been developed to increase the resilience of power systems based on the controlled delivery grid (CDG) concept. In a CDG, loads communicate with a central controller, periodically sending requests for power. The central controller runs an algorithm, based on which it may decide whether to grant the requested energy fully or partially. Therefore, the CDG limits loads discretionary access to electric energy until all problems are resolved. The developed algorithm aims at granting most or all of the requested loads, while maintaining the health of the power system (i.e. the voltage at each bus, and the line loading are within acceptable limits), and minimizing the overall losses. An IEEE 30-bus standard Test Case, encountering a blackout condition, with high penetration of microgrids, has been used to test the developed algorithm. Results proved that the developed algorithm with the CDG have the potential to substantially increase the resilience of power systems.
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- Award ID(s):
- 1641033
- NSF-PAR ID:
- 10064690
- Date Published:
- Journal Name:
- 2017 IEEE Industry Applications Society Annual Meeting
- Page Range / eLocation ID:
- 1 to 8
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/IAS.2017.8101777
