Active Power Allocation Method for Photovoltaic Cluster Considering Output and Electricity Price Uncertainty

doi:10.11930/j.issn.1004-9649.202304042

Abstract

Abstract:

Aiming at the economic operation of high permeability photovoltaic (PV) cluster in distribution network and its participation in system power adjustment, an active power optimal scheduling allocation method for regional PV cluster is proposed. Firstly, the PV stations in the cluster are classified according to their energy storage configuration and controllable capacity. The multi-scenario method is used to transform the uncertainty of PV output and market price into a deterministic scenario. The conditional value-at-risk (CVaR) is introduced to quantify the uncertainty risk, and a regional PV cluster power allocation optimization model is established. Taking the minimum operating cost of the cluster as the optimization objective, the optimal day-ahead output plan and energy storage operation strategy are obtained. Finally, aiming at the operation mode change caused by the system disturbance, a power redistribution strategy for PV cluster participating in system adjustment is proposed. The results of the case study show that the regional PV cluster has the ability to participate in the system power adjustment and the proposed method is also proved to be effective.

Key words: regional photovoltaic cluster, active power distribution strategy, uncertainty, scenario method, power redistribution

Hua LI, Ziyue CHENG, Xudong LI, Zhenxing LI, Zhilei NIU, Bin CHEN, Yangze WANG. Active Power Allocation Method for Photovoltaic Cluster Considering Output and Electricity Price Uncertainty[J]. Electric Power, 2023, 56(10): 211-218.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202304042

https://www.electricpower.com.cn/EN/Y2023/V56/I10/211

Figures/Tables 9

Fig.1 Regional PV cluster schematic

Fig.2 Power distribution mode ofdistribution network regional PV cluster

Fig.3 Typical PV output and user load

Table 1 PV output and electricity price scenario probability

场景	光伏出力	电价
一	0.20	0.27
二	0.30	0.45
三	0.50	0.28

Fig.4 Typical operation scenarios of regional PV cluster

Table 2 Operating costs and risk costs under different confidence levels

置信度	运行成本/元	风险成本/元
0.80	101967.30	14173.17
0.85	103538.79	11934.46
0.90	104216.51	9732.93
0.95	105283.40	7085.50

Fig.5 Power redistribution under output increase scenario

Fig.6 Power exchange between cluster and system before and after standby capacity is put into operation

Fig.7 Power exchange between cluster and systemunder output reduction scenario

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