Abstract
The gateway balance problem has the characteristics of multiple solutions. A bi-objective programming model is hence proposed to study the relations among the qualified rate of gateway balance condition, the gateway flow, and the fluctuation of generation schedule curve. Linear programming is used in gateway balance problem modeling. The first optimization objective of the model is to minimize the total penalty for violations of gateway balance conditions across the entire scheduling cycle, and the second one is to minimize the total penalty for fluctuation of generation schedule curve across the entire scheduling cycle. The linear weighting method and delaminating sequence optimization method are respectively used to solve the model. Numerical tests on an iron and steel plant show that the model effectively reduces the fluctuation of the generation schedule curve without increasing the total penalty for violation of gateway balance condition across the entire time horizon.
| Original language | English |
|---|---|
| Pages (from-to) | 26-32 |
| Number of pages | 7 |
| Journal | Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University |
| Volume | 47 |
| Issue number | 8 |
| DOIs | |
| State | Published - Aug 2013 |
Keywords
- Bi-objective programming
- Delaminating sequence optimization method
- Demand response
- Gateway balance
- Linear weighting method