Bidding Optimization Strategy for Virtual Power Plant Considering Uncertainty Factors

doi:10.16628/j.cnki.2095-8188.2022.09.007

Abstract

Abstract:

The uncertainty factors of virtual power plants which contain wind and photovoltaic power generation must be taken into account when participating in the bidding of the power market.The bidding model for virtual power plant is set up under the multi-agent framework.Considering the uncertainty of the wind and photovoltaic power generation,the reserve capacity requirement of the virtual power plant is determined.Based on the internal load demand and the reserve capacity demand of the virtual power plant,the output plan and price of each distributed power generation are determined on the premise of establishing the objective function to maximize the overall profit,so as to determine the output plan and the pricing function of the whole virtual power plant.Finally,the model and the method are validated by the example.The results show that the model is reasonable and the solution method is effective.

Key words: virtual power plant, bidding optimization, day-ahead market, reserve capacity market

CLC Number:

TM734

XIA Yaojie. Bidding Optimization Strategy for Virtual Power Plant Considering Uncertainty Factors[J]. LOW VOLTAGE APPARATUS, 2022, 0(9): 45-50.

Figures/Tables 6

References 14

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时段	出力/MW	报价/元	时段	出力/MW	报价/元
1	0.31	0.87	13	0.30	2.23
2	-0.05	1.27	14	0.17	1.08
3	0.34	0.84	15	-0.02	0.81
4	-0.01	1.66	16	0.10	0.99
5	0.48	0.79	17	0.25	0.92
6	0.38	0.80	18	0.21	0.98
7	0.36	0.80	19	0.26	0.92
8	0.53	1.24	20	0.21	1.77
9	0.23	1.28	21	0.12	2.09
10	0.27	1.60	22	0.37	1.67
11	0.26	1.71	23	0.18	1.57
12	0.41	1.31	24	0.23	0.75