Coordinative optimal operation of multi-energy virtual power plants clusters based on nash bargaining

doi:10.19799/j.cnki.2095-4239.2022.0404

Abstract

Abstract:

Multiple virtual power plants (VPP) will cooperate and compete with each other in the operation of the future power grid because of the constant growth of the scale of new energy sources and the entry of diverse capitals into the power market. A collaborative optimal operation model between multi-energy VPPs based on the Nash bargaining theory is proposed to solve the problem of optimal power grid operation and market players' interest distribution. First, for the multi-energy VPP, including the gas turbine, heat pump, various energy storage devices, electric load, thermal load, cooling load, etc., a multi-energy VPP group optimization operation model based on Nash negotiation theory is constructed. Second, to solve the complex non-convex nonlinear optimization problem, based on the mean value inequality, the model is transformed into two sub-problems of multi-energy VPP benefit maximization and energy payment value between multi-energy VPPs. Third, considering the information privacy and security between VPPs, the alternating direction method of multipliers (ADMM) is employed to solve the above two sub-problems in a distributed manner. Three multi-energy VPPs were selected for this study's example analysis. The results show that when fairness is considered, the optimization method proposed in this study can improve both the income and overall income of each VPP.

Key words: multi-energy VPP, Nash bargaining, ADMM, operation optimization

CLC Number:

TM 73

Xuanhong XIE, Jingdong XIE. Coordinative optimal operation of multi-energy virtual power plants clusters based on nash bargaining[J]. Energy Storage Science and Technology, 2022, 11(12): 3937-3949.

Figures/Tables 22

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Table 1

Table A1

VPP system parameters"

参数	数值	参数	数值/kW
η_{MT, e}	0.3	η_PV	0.88
η_WHB_,_h	0.8	$B i, m i n E S$	600
COP_HP	4.5	$B i, m a x E S$	3000
COP_EC	4.0	$B i, m a x H S$	300
COP_AC	0.7	$B i, m i n H S$	3000
$σ i E S$	0.01	$B i, 0 E S$	1200
$σ i H S$	0.01	$B i, 0 H S$	1200
$η i E S, c h$	0.95	$P i, m a x M T$	4000
$η i E S, d i s$	0.95	$H i, m a x M T$	4000
$η i H S, c h$	0.9	$H i, m a x H P$	1200
$η i H S, d i s$	0.9	$P i, m a x E C$	1440
η_WT	0.85	$H i, m a x A C$	2000

Table A1

Table A2

Table A3

Fig. A1

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Fig. A8

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VPP编号	纳什谈判前成本/元	纳什谈判后成本/元	效益提升值/元	效益提升率
VPP1	58254.889	55663.883	2591.007	4.53%
VPP2	30783.702	28193.002	2590.700	8.70%
VPP3	51444.750	48853.975	2590.775	5.14%
VPP联盟	140483.341	132710.86	7772.483	5.53%

设备类型	单价/(元/kW)	设备类型	单价/(元/kW)
燃气轮机	0.063	吸收制冷机	0.008
热泵	0.007	电储能	0.005
电制冷机	0.0097	热储能	0.002

类别	时段	价格
天然气	0:00～24:00	2.7元/m³
天然气	22:00～07:00
购电价	07:00～11:00, 14:00～18:00	0.75元/kWh
购电价	11:00～14:00, 18:00～22:00	1.20元/kWh

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