Multi-objective optimal schedule of a wind-photovoltaic-thermal-storage energy base considering capacity tariffs

doi:10.3969/j.issn.2097-0706.2025.07.001

Abstract

Abstract:

The construction of large energy bases is a major strategic layout to promote the transformation and upgrading of China's energy industry. Exploring the optimal scheduling scheme is particularly important for the high-quality development of bases. Capacity tariff and deep peak-load regulation compensation are introduced to a large energy base in western Mongolia， and a multi-objective optimal dispatch model of the base considering its revenue is constructed with step climbing rate constraints and fuzzy processing methods. The optimal schedule schemes are carried out according to the characteristics of local new energy generation. The simulation results show that the scheduling scheme aiming for the smallest net load variance has the smallest regulation pressure， which can ensure the security of the power grid； the scheme aiming for accommodating the most new energy can keep the new energy abandonment rate below 2.26% ， which is conducive to the development of new energy； the scheme aiming for the lowest total cost can reduce the operating cost of the base by decreasing the amount of grid-connected wind and solar power； and the scheme aiming for the highest revenue has a daily revenue 0.52%-24.12% higher than that of the rest of the schemes and has a second-highest new energy accommodating rate among all the schemes. The last scheme well balances the overall economy and new energy consumption level of the energy base. The optimal scheduling model can effectively realize multi-objective optimal scheduling according to the economic conditions of energy bases. The study provides reference for the optimal scheduling for similar energy bases.

Key words: wind-photovoltaic-thermal-storage system, integrated energy base, capacity tariff, deep peak-load regulation compensation, new energy consumption, multi-objective optimal dispatch

CLC Number:

TK01

HONG Chunxue, XIAO Haiping, TAN Jiaqun, LYU Ruxuan, CHEN Yanpeng, JU Xing. Multi-objective optimal schedule of a wind-photovoltaic-thermal-storage energy base considering capacity tariffs[J]. Integrated Intelligent Energy, 2025, 47(7): 1-11.

Figures/Tables 10

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机组	出力上、下限/MW	燃料成本系数
机组	出力上、下限/MW	a_i	b_i	c_i
^#1	400/120	1.21×10^-5	0.288	8.8
^#2	350/105	2.17×10^-5	0.290	7.2
^#3	300/90	3.42×10^-5	0.292	5.2
^#4	150/45	6.63×10^-5	0.306	3.5

方案	系统总收益/万元	火电成本/万元	运行总成本/万元	净负荷平方差/MW²	弃风弃光成本/万元
1（净负荷方差最小）	274.12	434.43	485.38	14 888.57	13.28
2（新能源消纳最多）	283.72	433.65	488.11	20 757.13	3.38
3（总成本最低）	334.00	278.33	325.23	18 944.06	9.70
4（总收益最大）	347.26	276.58	333.81	19 433.49	4.26

方案	系统总收益/万元	火电成本/万元	运行总成本/万元	净负荷平方差/MW²	弃风弃光成本/万元
1（净负荷方差最小）	252.85	429.97	488.45	4 622.05	10.15
2（新能源消纳最多）	331.62	257.64	323.86	12 779.17	2.03
3（总成本最低）	330.00	259.21	303.92	8 102.55	7.10
4（总收益最大）	333.22	257.65	317.48	11 230.48	2.03

方案	系统总收益/万元	火电成本/万元	运行总成本/万元	净负荷平方差/MW²	弃风弃光成本/万元
1（净负荷方差最小）	236.21	433.01	477.43	5 651.75	0.58
2（新能源消纳最多）	235.76	439.77	490.12	18 371.56	0.00
3（总成本最低）	298.51	281.68	309.85	11 796.71	0.04
4（总收益最大）	300.07	281.59	322.15	13 371.92	0.00