Distributionally Robust Optimal Scheduling Method Considering Photovoltaic Uncertainty

Table 1. Parameters of thermal power units
View table
Table 1. Parameters of thermal power units
Parameters of thermal power units $c_{s}$ /¥ $c_{o n}$ /［¥/（MW·h）］ $c_{t h}$ /［¥/（MW·h）］ $P_{m a x, t h}^{} / P_{m i n, t h}^{}$ /MW $P_{r a m p, t h, i}^{}$ /MW
Value 500 1500 550 40/8 12

Table 2. Parameters of cascade hydropower units

View table

Table 2. Parameters of cascade hydropower units

Parameters of hydropower units	Unit 1	Unit 2
$P_{m a x, h, i}^{} / P_{m i n, h, i}^{}$ /MW	100/0	100/0
$Q_{m a x, j}^{} / Q_{m i n, j}^{}$ /（10⁴m³/h）	15/8	16/5
$V_{m a x, j}^{} / V_{m i n, j}^{}$ /（10⁴m³）	150/80	120/60
$V_{0, j}^{} / V_{e, j}^{}$ /（10⁴m³）	100/140	80/70
$c_{h, j}$ /［¥/（MW·h）］	400	400

Table 3. Parameters for energy storage
View table
Table 3. Parameters for energy storage
Parameters of energy storage $c_{e}$ /［¥/（MW·h）］ $P_{c, m a x} / P_{d, m a x}$ /（MW） $η_{c} / η_{d}$ $E_{s, m a x} / E_{s, m i n}$ /（MW·h） $E_{0}$ /（MW·h）
Value 100 60/60 0.95/0.95 450/50 250

Table 4. Comparison of results of three optimization models

View table

Table 4. Comparison of results of three optimization models

Cost	Deterministic optimization	Robust optimization	Distributionally robust optimization
Day-ahead cost	213877.1750	250024.2563	252424.2506
Intra-day cost	414767.0392	414724.1842	408327.8106
Total cost	628644.2142	664748.4405	660752.0612

Tools

Get Citation

Copy Citation Text

Shuo Sun, Shiyou Yang. Distributionally Robust Optimal Scheduling Method Considering Photovoltaic Uncertainty[J]. Laser & Optoelectronics Progress, 2025, 62(9): 0925001

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites