Research on optimal scheduling of distributed integrated energy systems in load-intensive areas considering demand response

doi:10.3969/j.issn.2097-0706.2023.07.002

Abstract

Abstract:

To coordinative and balanced schedule resources on source and load side in a load intensive area，a distributed integrated energy system considering demand response and coupled with an energy storage system to supplement power supply is established，and the mathematical model for this system is constructed. The system evaluation indexes are divided into economy，energy consumption and environmental protection indexes， and a multi-objective optimization model is established considering the three types of indicators above. The weights of these indexes are determined by Analytic Hierarchy Process （AHP），and the comprehensive performance index is derived and taken as the optimization objective of the system. The building models in a load-intensive area include models for office buildings，hotels，residential buildings and shopping malls，and the monthly cumulative loads of the four types of buildings are simulated. In addition，the capacity configuration and performance index of the load-intensive area before and after taking demand response into consideration are compared，and monthly balanced scheduling capacity of buildings in the load-intensive area before and after considering demand response is analyzed. The results show that， with or without taking demand response into consideration，the performance of the system taking an integrated energy supply system is better than that taking independent energy supply systems for the four types of buildings separately.

Key words: distributed integrated energy system, demand response, river water source heat pump, PV, energy consumption simulation, configuration optimization, load intensive area, energy storage

CLC Number:

TK01

CAO Zilin, WANG Wenjing, ZHAO Wei, KANG Ligai, GAO Xiaofeng, YANG Yang, WANG Jinzhu. Research on optimal scheduling of distributed integrated energy systems in load-intensive areas considering demand response[J]. Integrated Intelligent Energy, 2023, 45(7): 11-21.

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建筑类型	情景设置	不考虑需求响应	考虑需求响应
办公楼	江水源热泵的装机容量/kW	100.00	300.00
	光伏的装机容量/kW	157.50	157.50
	储能系统容量/（kW·h）	80.43	20.00
	ATCR/%	20.81	26.16
	PESR/%	28.50	28.88
	CDER/%	28.50	28.88
	IP/%	24.35	27.41
酒店	江水源热泵的装机容量/kW	100.00	100.00
	光伏的装机容量/kW	21.87	21.78
	储能系统容量/（kW·h）	12.00	5.00
	ATCR/%	-0.28	13.89
	PESR/%	14.30	15.20
	CDER/%	14.30	15.20
	IP/%	6.43	14.50
住宅	江水源热泵的装机容量/kW	250.00	800.00
	光伏的装机容量/kW	104.62	104.62
	储能系统容量/（kW·h）	72.00	30.00
	ATCR/%	3.87	6.29
	PESR/%	7.52	7.86
	CDER/%	7.52	7.86
	IP/%	5.55	6.93
商场	江水源热泵的装机容量/kW	500.00	400.00
	光伏的装机容量/kW	193.75	193.75
	储能系统容量/（kW·h）	84.00	200.00
	ATCR/%	5.86	13.89
	PESR/%	15.28	16.20
	CDER/%	15.28	16.29
	IP（%）	10.20	15.00

项目	负荷密集区整体		4类建筑叠加
项目	不考虑需求响应	考虑需求响应	不考虑需求响应	考虑需求响应
江水源热泵的装机容量/kW	900.00	1 200.00	950.00	1 600.00
光伏的装机容量/kW	456.34	456.34	477.75	477.65
储能系统容量/（kW·h）	230.56	230.00	248.43	245.00
ATCR/%	45.21	61.69	29.47	39.56
PESR/%	65.43	67.75	45.28	46.89
CDER/%	65.43	67.75	45.28	46.89
IP/%	54.51	64.49	36.75	42.93

参数	值
Q_eq/kW	724
a₁	-0.111 601
b₁	-0.105 835 1
c₁	-0.001 829 692
d₁	0.096 779 21
e₁	-0.021 692 21
f₁	0.004 998 66
a₂	0.589 916
b₂	0.019 768 46
c₂	0.000 875 509
d₂	-0.007 564 222
e₂	0.000 877 513
f₂	-0.002 036 856
a₃	0.364 549
b₃	0.002 732 14
c₃	-5.356 77×10^-5
d₃	0.121 202 5
e₃	0.549 175
f₃	0.000 208 394
g₃	-0.075 161 91
T_ch,o/℃	5.56
T_co,o/℃	31.44