A Practical Integration of Automatic Generation Control and Demand Response
For a power grid to operate properly, electrical frequency must be continuously maintained close to its nominal value. Increasing penetration of distributed generation, such as solar and wind generation, introduces fluctuations in active power while also reducing the natural inertial response of...
| Main Authors: | , |
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| Format: | Preprint |
| Language: | en_US |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/99356 |
| _version_ | 1826203130176471040 |
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| author | Shiltz, Dylan Annaswamy, Anuradha |
| author_facet | Shiltz, Dylan Annaswamy, Anuradha |
| author_sort | Shiltz, Dylan |
| collection | MIT |
| description | For a power grid to operate properly, electrical
frequency must be continuously maintained close to its nominal
value. Increasing penetration of distributed generation, such as
solar and wind generation, introduces fluctuations in active power
while also reducing the natural inertial response of the electricity
grid, creating reliability concerns. While frequency regulation
has traditionally been achieved by controlling generators, the
control of Demand Response resources has been recognized in
recent smart grid literature as an efficient means for providing
additional regulation capability. To this end, several control
methodologies have been proposed recently, but various features
of these proposals make their practical implementations difficult.
In this paper, we propose a new control algorithm that facilitates
optimal frequency regulation through direct control of both
generators and Demand Response, while addressing several issues
that prevent practical implementation of other proposals. In
particular, i) our algorithm is ideal for control over a large,
low-bandwidth network as communication and measurement is
only required every 2 seconds, ii) it enables Demand Response
resources to recover energy lost during system transients, and iii)
it accommodates both measured disturbances and unmeasured
disturbances. We demonstrate the viability of our approach
through dynamic simulations on a 118-bus grid model. |
| first_indexed | 2024-09-23T12:32:07Z |
| format | Preprint |
| id | mit-1721.1/99356 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:32:07Z |
| publishDate | 2015 |
| record_format | dspace |
| spelling | mit-1721.1/993562019-04-12T12:03:23Z A Practical Integration of Automatic Generation Control and Demand Response Shiltz, Dylan Annaswamy, Anuradha Optimal AGC direct load control demand response frequency regulation For a power grid to operate properly, electrical frequency must be continuously maintained close to its nominal value. Increasing penetration of distributed generation, such as solar and wind generation, introduces fluctuations in active power while also reducing the natural inertial response of the electricity grid, creating reliability concerns. While frequency regulation has traditionally been achieved by controlling generators, the control of Demand Response resources has been recognized in recent smart grid literature as an efficient means for providing additional regulation capability. To this end, several control methodologies have been proposed recently, but various features of these proposals make their practical implementations difficult. In this paper, we propose a new control algorithm that facilitates optimal frequency regulation through direct control of both generators and Demand Response, while addressing several issues that prevent practical implementation of other proposals. In particular, i) our algorithm is ideal for control over a large, low-bandwidth network as communication and measurement is only required every 2 seconds, ii) it enables Demand Response resources to recover energy lost during system transients, and iii) it accommodates both measured disturbances and unmeasured disturbances. We demonstrate the viability of our approach through dynamic simulations on a 118-bus grid model. NSF initiative, Award no. EFRI-1441301 2015-10-16T19:30:38Z 2015-10-16T19:30:38Z 2015-10-16 Preprint http://hdl.handle.net/1721.1/99356 en_US IEEE ACC;2016 Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ application/pdf |
| spellingShingle | Optimal AGC direct load control demand response frequency regulation Shiltz, Dylan Annaswamy, Anuradha A Practical Integration of Automatic Generation Control and Demand Response |
| title | A Practical Integration of Automatic Generation Control and Demand Response |
| title_full | A Practical Integration of Automatic Generation Control and Demand Response |
| title_fullStr | A Practical Integration of Automatic Generation Control and Demand Response |
| title_full_unstemmed | A Practical Integration of Automatic Generation Control and Demand Response |
| title_short | A Practical Integration of Automatic Generation Control and Demand Response |
| title_sort | practical integration of automatic generation control and demand response |
| topic | Optimal AGC direct load control demand response frequency regulation |
| url | http://hdl.handle.net/1721.1/99356 |
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