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Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill
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| Zeitschriftentitel: | International Journal of Emerging Electric Power Systems |
|---|---|
| Personen und Körperschaften: | , , , , |
| In: | International Journal of Emerging Electric Power Systems, 18, 2017, 3 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
Walter de Gruyter GmbH
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| Schlagwörter: |
| author_facet |
Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. |
|---|---|
| author |
Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. |
| spellingShingle |
Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. International Journal of Emerging Electric Power Systems Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill Energy Engineering and Power Technology |
| author_sort |
chauhan, r. k. |
| spelling |
Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. 1553-779X Walter de Gruyter GmbH Energy Engineering and Power Technology http://dx.doi.org/10.1515/ijeeps-2016-0238 <jats:title>Abstract</jats:title><jats:p>This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.</jats:p> Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill International Journal of Emerging Electric Power Systems |
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Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
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Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
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Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
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Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_full_unstemmed |
Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_short |
Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_sort |
real time energy management system for smart buildings to minimize the electricity bill |
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Energy Engineering and Power Technology |
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<jats:title>Abstract</jats:title><jats:p>This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.</jats:p> |
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| author | Chauhan, R. K., Rajpurohit, B. S., Wang, L., Gonzalez Longatt, F. M., Singh, S. N. |
| author_facet | Chauhan, R. K., Rajpurohit, B. S., Wang, L., Gonzalez Longatt, F. M., Singh, S. N., Chauhan, R. K., Rajpurohit, B. S., Wang, L., Gonzalez Longatt, F. M., Singh, S. N. |
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| description | <jats:title>Abstract</jats:title><jats:p>This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.</jats:p> |
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| spelling | Chauhan, R. K. Rajpurohit, B. S. Wang, L. Gonzalez Longatt, F. M. Singh, S. N. 1553-779X Walter de Gruyter GmbH Energy Engineering and Power Technology http://dx.doi.org/10.1515/ijeeps-2016-0238 <jats:title>Abstract</jats:title><jats:p>This paper presents a real time price based energy management system for DC microgrid. The DC distribution system is considered as a prospective system according to the increase of DC loads and DC output type distribution energy resources (DERs) such as photovoltaic (PV) systems, battery bank (BB), and hybrid car (HC). The control objective is to achieve the optimal cost of energy. The proposed control scheme is developed based on the source as well as load scheduling of the DC microgrid. The source scheduling algorithm is based on the selection of cheapest power source to supply the load of DC microgrid and achieve the optimal electricity price. The BB and HC charges in regular hours at the less electricity price to supply the future load during the higher electricity price of the public utility. The load scheduling algorithm shifts the deferrable load of the building from peak hours to the regular hours to obtain the lowest cost of energy for the building. The proposed scheme significantly decreases the peak demand, which is the main cause of load shedding. Dynamic simulation is presented to access the control performance with price fluctuations and robustness of the system.</jats:p> Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill International Journal of Emerging Electric Power Systems |
| spellingShingle | Chauhan, R. K., Rajpurohit, B. S., Wang, L., Gonzalez Longatt, F. M., Singh, S. N., International Journal of Emerging Electric Power Systems, Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill, Energy Engineering and Power Technology |
| title | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_full | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_fullStr | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_full_unstemmed | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_short | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| title_sort | real time energy management system for smart buildings to minimize the electricity bill |
| title_unstemmed | Real Time Energy Management System for Smart Buildings to Minimize the Electricity Bill |
| topic | Energy Engineering and Power Technology |
| url | http://dx.doi.org/10.1515/ijeeps-2016-0238 |