Evaluation of Renewable Energy Consumption Capacity in Power Grid Considering the Synergistic Effect of Wind-Photovoltaic- Hydro-Thermal Power

doi:10.11930/j.issn.1004-9649.202305105

Abstract

Abstract:

This paper studies the problem of power grid absorption capacity evaluation, and an evaluation method of renewable energy consumption capacity of power grid considering wind-photovoltaic-hydro-thermal power multi-energy coordination is proposed. Firstly, the framework of wind-photovoltaic-hydro-thermal power multi-energy cooperative system is constructed. Then, the definition of the operational risk of renewable energy acceptance is given, and the operational risk model of renewable energy is established. Finally, based on the two-stage robust optimization theory, the evaluation model of renewable energy consumption capacity of power grid considering wind-photovoltaic-hydro-thermal power multi-energy cooperation is proposed, and the column and constraint generation (C&CG) algorithm is used to solve the problem. The results of example show that the proposed model can control the uncertainty set of renewable energy output and assess the renewable energy consumption capacity of power grid effectively.

Key words: assessment of absorptive capacity, multi energy collaborative system, operational risks

Weimin ZHENG, Yangqing DAN, Chenxuan WANG, Jiahui WU, Yunfeng ZHU. Evaluation of Renewable Energy Consumption Capacity in Power Grid Considering the Synergistic Effect of Wind-Photovoltaic- Hydro-Thermal Power[J]. Electric Power, 2023, 56(12): 248-254.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202305105

https://www.electricpower.com.cn/EN/Y2023/V56/I12/248

Figures/Tables 11

Fig.1 Framework of wind-photovoltaic-hydropower-thermal power multi energy collaborative system

Fig.2 Normal distribution of prediction error of renewable energy output

Table 1 Parameters of conventional generator units

机组	${{{P_{\max }}} \mathord{\left/ {\vphantom {{{P_{\max }}} {{\text{MW}}}}} \right. } {{\text{MW}}}} $	${{{P_{\min }}} / {( {{\text{MW}} \cdot {{\text{h}}^{ - 1}}})}} $	${{{R_ + }} / {( {{\text{MW}} \cdot {{\text{h}}^{ - 1}}})}} $	${{R_ - }}/{( {{\text{MW}} \cdot {{\text{h}}^{ - 1}}})} $
G₁	155	30	50	50
G₂	130	20	30	30
W₃	120	10	20	20

Fig.3 Forecast data of wind power-photovoltaic-load

Table 2 Cost parameters for wind-photovoltaic-load shedding 单位：元/(MW·h)

时段	弃风成本	弃光成本	甩负荷成本
01:00—06:00	40	0	400
07:00—18:00	60	60	600
19:00—24:00	50	0	500

Table 3 Comparison of calculation results of 3 sets of models 单位：万元

模型	运行成本	风险成本	总成本
DS	133.21	50.32	183.53
RS	143.56	20.26	163.82
RRS	137.35	15.78	153.28

Fig.4 Comparison of output ranges of Wind units in different models

Fig.5 Comparison of output ranges of photovoltaic units in different models

Table 4 Comparison of uncertain set parameters for different wind and photovoltaic systems

${\varOmega _{{\text{pw}}}}$	${\varOmega _{{\text{pv}}}}$	运行成本/万元	运行风险成本/万元	总成本/万元
4	4	134.59	12.30	146.89
8	8	137.35	15.78	153.28
8	12	139.11	15.84	154.95
12	8	139.25	16.04	155.29
12	12	139.49	15.91	155.40

Fig.6 Wind units output range under different S conditions

Fig.7 Photovoltaic units output range under different S conditions

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