Economic Capacity Assessment of Renewables in Distribution Networks

doi:10.11930/j.issn.1004-9649.202312019

Abstract

Abstract:

Based on the robust optimization method, considering the safe operation and economic objectives, the capacity of distributed power generation and energy storage in the distribution network is optimized. According to historical data and probability distributions of the uncertain wind, solar and load, multiple scenarios of these uncertainties are generated, and the uncertainty set describing these uncertainties is established using these operation scenarios. Then, based on the uncertainty set, a two-level robust optimization model is established. The outer-level model searches for the economically worst operation scenario in the uncertainty set. The inner-level model optimizes the capacity of wind, solar and energy storage in the worst scenario, taking into account the security constraints of distribution network. Compared with the capacity allocation results of the traditional method using typical operation scenarios, the capacities allocated in this paper are smaller, and can meet the condition of safe operation in the distribution network, with higher economic performance.

Key words: active distribution network, capacity configuration of distributed generations, economic carrying capacity

Pengfei FAN, Baoqin LI, Jiangwei HOU, Rong LI, Chongming SONG, Kaijun LIN. Economic Capacity Assessment of Renewables in Distribution Networks[J]. Electric Power, 2024, 57(7): 196-202.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202312019

https://www.electricpower.com.cn/EN/Y2024/V57/I7/196

Figures/Tables 9

Fig.1 33-bus distribution network system

Fig.2 Fluctuation range of wind power and photovoltaic

Fig.3 Fluctuation range of load

Fig.4 The change of electricity price during 24 hours

Fig.5 Comparison of generated scenario and real scenario

Fig.6 The test result of generalization ability

Table 1 Capacity configuration results of different methods

方法	风电容量/MW	光伏容量/MW	储能容量/(MW·h)
本文方法	2.72	0	1.92
	1.26	0.93	0
	1.34	0	0
典型场景法	3.69	1.11	2.23
	1.75	2.30	1.19
	1.66	1.64	1.27

Table 2 Capacity configuration results with energy storage of 10 years

方法	风电容量/MW	光伏容量/MW	储能容量/(MW·h)
本文方法	2.19	0	1.57
	1.02	0.63	0
	1.34	0	0
典型场景法	3.18	0.77	1.85
	1.21	1.82	0.91
	1.30	1.33	1.07

Table 3 Economic comparison of different methods

方法	平均综合费用/元	存在约束违反场景占比/%
本文	1.26×10⁸（盈利）	1.2
典型场景	1.26×10⁷（亏损）	17.3

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