Abstract
The increasing number of rooftop solar panels and home-scale batteries in residential areas enables an emerging energy market for homeowners to take part in. By optimizing the energy usage at home, the surplus amount can be exported to the grid for selling to intermediaries like aggregators at a higher price than a feed-in tariff set by the government. Though not trading with the power utility, the resulting reverse power flow may cause the service voltage to increase and violate the set upper limit. To avoid this problem, the utility asks all grid-connected inverters to reduce the reverse power by installing volt–watt functions. Unfortunately, this kind of function may reduce the profits of the homeowners since the exported energy cannot match the amount committed to the aggregator. Our research addresses this issue by proposing a double-layer optimization for each home energy management system. The first layer optimizes the one-day home energy usage with consideration of uncertainty in the predicted data of load and solar irradiance to estimate the highest home profit as possible. Then, the second layer tries to reduce the high reverse power with minimal impact on the profit found in the first layer. A simulation of a distribution system shows that the proposed method is able to flatten the power profile flowing reversely to the grid and reduce the drawbacks of volt–watt functions. Homeowners are recommended to practice the proposed method when trading the surplus energy.
| Original language | English |
|---|---|
| Journal | IEEJ Transactions on Electrical and Electronic Engineering |
| DOIs | |
| Publication status | Accepted/In press - 2019 Jan 1 |
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Keywords
- active power curtailment
- home energy management system
- mixed-integer linear programming
- stochastic programming
- volt–watt functions
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Double-layer optimization of home energy management systems with volt–watt functions. / Dao, Van Tu; Ishii, Hideo; Hayashi, Yasuhiro.
In: IEEJ Transactions on Electrical and Electronic Engineering, 01.01.2019.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Double-layer optimization of home energy management systems with volt–watt functions
AU - Dao, Van Tu
AU - Ishii, Hideo
AU - Hayashi, Yasuhiro
PY - 2019/1/1
Y1 - 2019/1/1
N2 - The increasing number of rooftop solar panels and home-scale batteries in residential areas enables an emerging energy market for homeowners to take part in. By optimizing the energy usage at home, the surplus amount can be exported to the grid for selling to intermediaries like aggregators at a higher price than a feed-in tariff set by the government. Though not trading with the power utility, the resulting reverse power flow may cause the service voltage to increase and violate the set upper limit. To avoid this problem, the utility asks all grid-connected inverters to reduce the reverse power by installing volt–watt functions. Unfortunately, this kind of function may reduce the profits of the homeowners since the exported energy cannot match the amount committed to the aggregator. Our research addresses this issue by proposing a double-layer optimization for each home energy management system. The first layer optimizes the one-day home energy usage with consideration of uncertainty in the predicted data of load and solar irradiance to estimate the highest home profit as possible. Then, the second layer tries to reduce the high reverse power with minimal impact on the profit found in the first layer. A simulation of a distribution system shows that the proposed method is able to flatten the power profile flowing reversely to the grid and reduce the drawbacks of volt–watt functions. Homeowners are recommended to practice the proposed method when trading the surplus energy.
AB - The increasing number of rooftop solar panels and home-scale batteries in residential areas enables an emerging energy market for homeowners to take part in. By optimizing the energy usage at home, the surplus amount can be exported to the grid for selling to intermediaries like aggregators at a higher price than a feed-in tariff set by the government. Though not trading with the power utility, the resulting reverse power flow may cause the service voltage to increase and violate the set upper limit. To avoid this problem, the utility asks all grid-connected inverters to reduce the reverse power by installing volt–watt functions. Unfortunately, this kind of function may reduce the profits of the homeowners since the exported energy cannot match the amount committed to the aggregator. Our research addresses this issue by proposing a double-layer optimization for each home energy management system. The first layer optimizes the one-day home energy usage with consideration of uncertainty in the predicted data of load and solar irradiance to estimate the highest home profit as possible. Then, the second layer tries to reduce the high reverse power with minimal impact on the profit found in the first layer. A simulation of a distribution system shows that the proposed method is able to flatten the power profile flowing reversely to the grid and reduce the drawbacks of volt–watt functions. Homeowners are recommended to practice the proposed method when trading the surplus energy.
KW - active power curtailment
KW - home energy management system
KW - mixed-integer linear programming
KW - stochastic programming
KW - volt–watt functions
UR - http://www.scopus.com/inward/record.url?scp=85059306081&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059306081&partnerID=8YFLogxK
U2 - 10.1002/tee.22857
DO - 10.1002/tee.22857
M3 - Article
AN - SCOPUS:85059306081
JO - IEEJ Transactions on Electrical and Electronic Engineering
JF - IEEJ Transactions on Electrical and Electronic Engineering
SN - 1931-4973
ER -