Power Generation Technology ›› 2023, Vol. 44 ›› Issue (6): 769-780.DOI: 10.12096/j.2096-4528.pgt.23089
• Virtual Power Plant Planning, Scheduling and Control Technology • Previous Articles Next Articles
Zhenyu ZHAO, Xinxin LI
Received:
2023-07-30
Published:
2023-12-31
Online:
2023-12-28
Supported by:
CLC Number:
Zhenyu ZHAO, Xinxin LI. Low-Carbon Economic Dispatch Based on Ladder Carbon Trading Virtual Power Plant Considering Carbon Capture Power Plant and Power-to-Gas[J]. Power Generation Technology, 2023, 44(6): 769-780.
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URL: https://www.pgtjournal.com/EN/10.12096/j.2096-4528.pgt.23089
类别 | 参数 | 数值 |
---|---|---|
火电机组 | 最大输出功率/MW | 55 |
最小输出功率/MW | 10 | |
煤耗系数 | a=0.01 | |
b=172 | ||
c=4 167 | ||
实际碳排放强度/(t/MW) | 1.06 | |
碳捕集单元 | 碳捕集效率 | 0.6 |
固定能耗/MW | 0.015 | |
最大功率/MW | 2 | |
P2G设备 | 最大运行功率/MW | 3 |
CO2消耗量/(t/MW) | 0.2 | |
运行成本/元 | 137 | |
设备转换效率 | 0.6 | |
碳存储设备 | 最小容量/t | 0 |
最大容量/t | 100 | |
损耗系数 | 0.3 | |
单位碳存储价格/(元/t) | 33 |
Tab. 1 CCPP-P2G equipment parameters
类别 | 参数 | 数值 |
---|---|---|
火电机组 | 最大输出功率/MW | 55 |
最小输出功率/MW | 10 | |
煤耗系数 | a=0.01 | |
b=172 | ||
c=4 167 | ||
实际碳排放强度/(t/MW) | 1.06 | |
碳捕集单元 | 碳捕集效率 | 0.6 |
固定能耗/MW | 0.015 | |
最大功率/MW | 2 | |
P2G设备 | 最大运行功率/MW | 3 |
CO2消耗量/(t/MW) | 0.2 | |
运行成本/元 | 137 | |
设备转换效率 | 0.6 | |
碳存储设备 | 最小容量/t | 0 |
最大容量/t | 100 | |
损耗系数 | 0.3 | |
单位碳存储价格/(元/t) | 33 |
类型 | 电价/[元/(MW·h)] | 时段 |
---|---|---|
谷时段 | 0.197 | 01:00—05:00 |
平时段 | 0.512 | 05:00—10:00;16:00—19:00;23:00—24:00 |
峰时段 | 0.930 | 11:00—15:00;20:00—22:00 |
Tab. 2 Time-of-use price
类型 | 电价/[元/(MW·h)] | 时段 |
---|---|---|
谷时段 | 0.197 | 01:00—05:00 |
平时段 | 0.512 | 05:00—10:00;16:00—19:00;23:00—24:00 |
峰时段 | 0.930 | 11:00—15:00;20:00—22:00 |
场景 | 外购电 | CCPP发电 | 碳存储 | P2G | 风光发电 | 弃风弃光 | 碳交易 | 总成本 |
---|---|---|---|---|---|---|---|---|
1 | 0 | 10 814 | — | — | 17 285 | 7 379 | 11 618 | 47 011 |
2 | 3 270 | 10 665 | 7 380 | -241 | 19 750 | 3 915 | 1 622 | 46 361 |
3 | 3 218 | 10 347 | 7 056 | -251 | 19 967 | 3 548 | 1 412 | 45 297 |
4 | 2 984 | 10 411 | 6 951 | -263 | 20 089 | 3 315 | 1 493 | 44 980 |
Tab. 3 Comparative analysis of operating costs under different scenarios
场景 | 外购电 | CCPP发电 | 碳存储 | P2G | 风光发电 | 弃风弃光 | 碳交易 | 总成本 |
---|---|---|---|---|---|---|---|---|
1 | 0 | 10 814 | — | — | 17 285 | 7 379 | 11 618 | 47 011 |
2 | 3 270 | 10 665 | 7 380 | -241 | 19 750 | 3 915 | 1 622 | 46 361 |
3 | 3 218 | 10 347 | 7 056 | -251 | 19 967 | 3 548 | 1 412 | 45 297 |
4 | 2 984 | 10 411 | 6 951 | -263 | 20 089 | 3 315 | 1 493 | 44 980 |
场景 | 碳捕集功率/MW | 碳捕集量/t | 碳存储量/t | P2G消耗CO2量/t | 碳排放量/t | 弃风弃光功率/MW |
---|---|---|---|---|---|---|
1 | 0 | 0 | 0 | 0 | 20.47 | 14.76 |
2 | 14.25 | 39.59 | 24.31 | 0.92 | 8.78 | 7.71 |
3 | 12.62 | 33.54 | 20.53 | 0.85 | 6.47 | 7.20 |
4 | 13.22 | 35.77 | 21.95 | 1.06 | 4.69 | 7.05 |
Tab. 4 Comparison of environmental impact factors under different scenarios
场景 | 碳捕集功率/MW | 碳捕集量/t | 碳存储量/t | P2G消耗CO2量/t | 碳排放量/t | 弃风弃光功率/MW |
---|---|---|---|---|---|---|
1 | 0 | 0 | 0 | 0 | 20.47 | 14.76 |
2 | 14.25 | 39.59 | 24.31 | 0.92 | 8.78 | 7.71 |
3 | 12.62 | 33.54 | 20.53 | 0.85 | 6.47 | 7.20 |
4 | 13.22 | 35.77 | 21.95 | 1.06 | 4.69 | 7.05 |
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