### Abstract

This paper proposes a model of a home energy management system (HEMS) to meet utility requirements while maximizing home profit. It contributes to intensify the flattening effects on the exchanging power pattern with a constraint of a fair profit reduction among households. The proposed method first uses a normal mixed-integer linear programming approach to find out the highest profit a household can get under a condition of a generous power limitation. It is highly possible that the resulted power aggregated from numerous homes may negatively affect power system operation such as violating voltage limits and overloading transformers. Based on that highest profit, the utility proposes the same percentage number of profit reduction for all households. Then, each HEMS performs an intensive mixed-integer quadratic programming optimization to flatten the selling and buying profiles whilst constraining the home profit reduction to the percentage set by the utility. A simulation shows that the peak power demand at the substation transformer would reduce about 44% if each household suffered a reduction of just 10% of the highest possible home profit. Since the flattening effects are improved if increasing the home profit reduction, our method is a basis for the utility to determine a compensation or alternative incentives to shave the peak-load and flatten the demand curve.

Original language | English |
---|---|

Article number | 105473 |

Journal | International Journal of Electrical Power and Energy Systems |

Volume | 115 |

DOIs | |

Publication status | Published - 2020 Feb 1 |

### Fingerprint

### Keywords

- Home Energy Management System
- Peak-load shaving
- Rooftop solar
- Smart home
- Smart household

### ASJC Scopus subject areas

- Energy Engineering and Power Technology
- Electrical and Electronic Engineering

### Cite this

*International Journal of Electrical Power and Energy Systems*,

*115*, [105473]. https://doi.org/10.1016/j.ijepes.2019.105473

**Intensive quadratic programming approach for home energy management systems with power utility requirements.** / Dao, V. T.; Ishii, Hideo; Takenobu, Y.; Yoshizawa, S.; Hayashi, Yasuhiro.

Research output: Contribution to journal › Article

*International Journal of Electrical Power and Energy Systems*, vol. 115, 105473. https://doi.org/10.1016/j.ijepes.2019.105473

}

TY - JOUR

T1 - Intensive quadratic programming approach for home energy management systems with power utility requirements

AU - Dao, V. T.

AU - Ishii, Hideo

AU - Takenobu, Y.

AU - Yoshizawa, S.

AU - Hayashi, Yasuhiro

PY - 2020/2/1

Y1 - 2020/2/1

N2 - This paper proposes a model of a home energy management system (HEMS) to meet utility requirements while maximizing home profit. It contributes to intensify the flattening effects on the exchanging power pattern with a constraint of a fair profit reduction among households. The proposed method first uses a normal mixed-integer linear programming approach to find out the highest profit a household can get under a condition of a generous power limitation. It is highly possible that the resulted power aggregated from numerous homes may negatively affect power system operation such as violating voltage limits and overloading transformers. Based on that highest profit, the utility proposes the same percentage number of profit reduction for all households. Then, each HEMS performs an intensive mixed-integer quadratic programming optimization to flatten the selling and buying profiles whilst constraining the home profit reduction to the percentage set by the utility. A simulation shows that the peak power demand at the substation transformer would reduce about 44% if each household suffered a reduction of just 10% of the highest possible home profit. Since the flattening effects are improved if increasing the home profit reduction, our method is a basis for the utility to determine a compensation or alternative incentives to shave the peak-load and flatten the demand curve.

AB - This paper proposes a model of a home energy management system (HEMS) to meet utility requirements while maximizing home profit. It contributes to intensify the flattening effects on the exchanging power pattern with a constraint of a fair profit reduction among households. The proposed method first uses a normal mixed-integer linear programming approach to find out the highest profit a household can get under a condition of a generous power limitation. It is highly possible that the resulted power aggregated from numerous homes may negatively affect power system operation such as violating voltage limits and overloading transformers. Based on that highest profit, the utility proposes the same percentage number of profit reduction for all households. Then, each HEMS performs an intensive mixed-integer quadratic programming optimization to flatten the selling and buying profiles whilst constraining the home profit reduction to the percentage set by the utility. A simulation shows that the peak power demand at the substation transformer would reduce about 44% if each household suffered a reduction of just 10% of the highest possible home profit. Since the flattening effects are improved if increasing the home profit reduction, our method is a basis for the utility to determine a compensation or alternative incentives to shave the peak-load and flatten the demand curve.

KW - Home Energy Management System

KW - Peak-load shaving

KW - Rooftop solar

KW - Smart home

KW - Smart household

UR - http://www.scopus.com/inward/record.url?scp=85070767120&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85070767120&partnerID=8YFLogxK

U2 - 10.1016/j.ijepes.2019.105473

DO - 10.1016/j.ijepes.2019.105473

M3 - Article

AN - SCOPUS:85070767120

VL - 115

JO - International Journal of Electrical Power and Energy Systems

JF - International Journal of Electrical Power and Energy Systems

SN - 0142-0615

M1 - 105473

ER -