Optimal scheduling of integrated energy system considering integrated demand response and reward and punishment ladder carbon trading

doi:10.19799/j.cnki.2095-4239.2021.0692

Abstract

Abstract:

Safe, efficient, low-carbon, and clean energy has become the dominant path of energy development, and an integrated energy system is one of the most effective strategies to minimize pollution emissions and enhance energy efficiency. To realize the economic and low-carbon operation of the system, this study proposes a low-carbon optimal scheduling strategy for an integrated energy system considering a reward and punishment ladder carbon trading mechanism and an integrated demand response strategy. To begin, an integrated demand response model for cooling, heat, and electricity multiple loads is provided based on the flexible properties and schedulable value of multiple loads. A response compensation technique is developed on this basis.Second, addressing the uncertainties of renewable energy, The Latin hypercube sampling method and kantorovich scenario reduction method are used to generate typical scenarios of the predicted output of photovoltaic, wind power, and load and the reward and punishment stepped carbon transaction cost is introduced into the optimal scheduling model, and the optimization objective function with the lowest sum of system operation cost, response compensation cost, and carbon transaction cost is established. Finally, the CPLEX toolbox solves the given model. The impacts of the integrated demand response technique and the reward and punishment stepped carbon trading mechanism on the operation optimization, energy conservation, and emission reduction of the comprehensive energy system are evaluated in the example simulation. It has been demonstrated that the developed model and approach can effectively account for the system's economic and environmental advantages

Key words: integrated energy system, reward and punishment ladder carbon trading, uncertainty, integrated demand response, multi-energy complementarity

CLC Number:

TM 921

Junwei WANG, Yi REN, Zun GUO, Yan ZHANG. Optimal scheduling of integrated energy system considering integrated demand response and reward and punishment ladder carbon trading[J]. Energy Storage Science and Technology, 2022, 11(7): 2177-2187.

Figures/Tables 10

Fig. 1

Fig. 2

Table 1

Value of the parameters"

参数	值/kW	参数	值/kW
a/b/c	2.67/66.2/100	$P G T m a x$ / $P G T m i n$	600/0
δ_GT	0.35	$H G B m a x$ / $H G B m i n$	800/0
λ_WHB	0.85	η_GB	0.9
η_HST.chr,η_HST.dis	0.98，0.98	$P G r i d m a x$ , $P G r i d m i n$	700，0
η_BT.chr,η_BT.dis η_c.chr,η_c.dis $H H S T . c h r m i n$ , $H H S T c h r m a x$ γ_BT,γ_HST $Q a m a x$ , $Q c m a x$	0.95，0.95 0.67，0.75 0，200 0.02，0.03 450，300	$P B T . c h r m i n$ , $P B T . c h r m a x$ η_AR $P B T . d i s m i n$ , $P B T . d i s m a x$ $H H S T . d i s m i n$ , $H H S T d i s m a x$ $Q d m a x$	0，350 1.2 0，350 0，150 120

Table 1

Table 2

Table 3

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

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电价	时段	元/kWh
	1∶00—5∶00, 23∶00—24∶00	0.5
分时电价	13:00—18:00	0.73
	6∶00—12∶00, 19∶00—22∶00	1.21
上网电价	全天	0.45

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