Abstract:Distributed renewable energy (DRE) is experiencing a rapid growth worldwide, and gradually becomes a significant factor that influences stability of bulk power systems. In the year 2022, the increasement of distributed photovoltaic in China has exceeded 51 GW, far exceeding the aggregate photovoltaic increasement. The installed capacity of DRE accounts for over 50% of the total renewable energy sources in several provinces, and peak DRE power output reaches 30% of the overall load power. Bulk power system incidents related to DRE have been reported in countries such as Australia and the United States. It is revealed that current bulk power system analyses inadequately consider the impact of DREs. However, it is impossible to model every single DRE in bulk power system analysis, as they are with a very large quantity, and integrated in very low voltage level. Although aggregation methods are proposed for renewable energy sources, the methods mainly aim at aggregate renewables. DREs are generally mixed with power loads, and are unsuitable for the methods. In the early stages of DRE development, they are simply considered as “negative power loads” in bulk power system analysis. This modeling approach is too simplistic for regions with high penetration. To resolve the problem, some power system operators utilize a simplified distribution grid model. However, such model consists too many nodes for bulk power systems, which can comprise hundreds of distribution grids. To address the modeling challenges of DRE in bulk power system simulation and analysis, measurement-based, data-driven methods are widely utilized. The obtained models are known as generalized load models, microgrid equivalent models, etc., considering both DREs and loads. While the methods are widely seen in literatures, limited engineering application is reported. In large power systems, it is difficult to acquire sufficient transient response data for measurement-based modelling method. Besides, the methods hardly offer physical relations between the equivalent parameters and actual power components. Problems like multiple-solutions and overfitting also exist in the methods. These disadvantages hinder power system analysis. In view of the above, this paper proposes an active synthesis load model, trying to resolve the DRE modelling problems in China’s practical engineering context. Structure design, parameter calculation, and practical application of the model is described in the paper. The proposed model is tested effective in the application. Conclusions of this paper are briefly drawn as follows: (1) From the perspective of engineering applications, an equivalent DRE model should consider four aspects: model compatibility, application cost, explainability, and accuracy. (2) In the practical engineering context in China, the equivalent of DRE involves approximately 30 key electromechanical transient parameters. When calculating equivalents, these parameters can be categorized into four types and treated with different methods. These four types of parameters are: linear independent parameters, linear coupled parameters, nonlinear coupled parameters, and empirical parameters. (3) Compared to conventional distribution grids, the grids with DRE have important, new features, including but not limited to component terminal voltage and feeder current. Additional attention should be paid to these features when establishing the equivalent model.
兰天楷, 孙华东, 王琦, 赵兵. 考虑分布式新能源的有源综合负荷模型[J]. 电工技术学报, 2024, 39(23): 7365-7378.
Lan Tiankai, Sun Huadong, Wang Qi, Zhao Bing. Active Synthesis Load Model Considering Distributed Renewable Energy Source. Transactions of China Electrotechnical Society, 2024, 39(23): 7365-7378.
[1] 国家能源局. 2022年光伏发电建设运行情况[EB/OL].[2023-02-07].. 2022年光伏发电建设运行情况[EB/OL].[2023-02-07]. http://www.nea.gov.cn/2023-02/17/c_1310698128.htm. [2] 林雨眠, 熊厚博, 张笑演, 等. 计及新能源机会约束与虚拟储能的电-热系统分布式多目标优化调度[J/OL]. 电工技术学报, 2023: 1-19. https://dgjsxb.ces-transaction.com/CN/abstract/abstract8882.shtml. Lin Yumian, Xiong Houbo, Zhang Xiaoyanet al. Distributed multi-objective optimal scheduling of integrated electric-heat system considering chance constraint of new energy and virtual storage[J/OL]. Transactions of China Electrotechnical Society, 2023: 1-19. https://dgjsxb.ces-transaction.com/CN/abstract/abstract8882.shtml. [3] Joint NERC, Texas RE Staff. Odessa Disturbance Report, Texas Events: May 9, 2021, and June 26, 2021[R]. USA: North American Electric Reliability Corporation, 2021. [4] Joint NERC, Texas RE Staff. Odessa Disturbance Report, Texas Events: June 4, 2022[R]. USA: North American Electric Reliability Corporation, 2022. [5] Australian Energy Market Operator. Black System South Australia 28 September 2016[R]. Australia: Australian Energy Market Operator Limited, 2017. [6] 张天策, 李庚银, 王剑晓, 等. 基于可行域投影理论的新能源电力系统协同运行方法[J]. 电工技术学报, 2024, 39(9): 2784-2796. Zhang Tiance, Li Gengyin, Wang Jianxiao et al. Coordinated operation method of renewable energy power systems based on feasible region projection theory[J]. Transactions of China Electrotechnical Society, 2024, 39(9): 2784-2796. [7] 马富艺龙, 辛焕海, 刘晨曦, 等. 新能源基地柔性直流送出系统小扰动电压支撑强度评估[J]. 电工技术学报, 2023, 38(21): 5758-5770, 5938. Ma Fuyilong, Xin Huanhai, Liu Chenxi, et al.Small-disturbance system voltage support strength assessment method for renewables VSC-HVDC delivery system[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5758-5770, 5938. [8] 孙华东, 李佳豪, 李文锋, 等. 大规模电力系统仿真用新能源场站模型结构及建模方法研究(二): 机电暂态模型[J]. 中国电机工程学报, 2023, 43(6): 2190-2202. Sun Huadong, Li Jiahao, Li Wenfeng, et al.Research on model structures and modeling methods of renewable energy station for large-scale power system simulation(Ⅱ): electromechanical transient model[J]. Proceedings of the CSEE, 2023, 43(6): 2190-2202. [9] Li Jiahao, Sun Huadong, Li Wenfeng, et al.Construction and equivalence of single-machine model of renewable energy for large-scale power system simulation[J/OL]. CSEE Journal of Power and Energy Systems, 2023. doi:10.17775/CSEEJPES.2022.06490. [10] 屈星, 李欣然, 宋军英, 等. 考虑配电网调压的综合负荷模型[J]. 电工技术学报, 2018, 33(4): 759-770. Qu Xing, Li Xinran, Song Junying, et al.Composite load model considering voltage regulation of distribution network[J]. Transactions of China Electrotechnical Society, 2018, 33(4): 759-770. [11] Arif A, Wang Zhaoyu, Wang Jianhui, et al.Load modeling—a review[J]. IEEE Transactions on Smart Grid, 2018, 9(6): 5986-5999. [12] 徐振华, 李欣然, 宋军英, 等. 考虑双馈风电机的配电网广义综合负荷建模[J]. 电工技术学报, 2013, 28(7): 234-242. Xu Zhenhua, Li Xinran, Song Junying, et al.Load modeling considering doubly-fed induction generator (DFIG) integrated into distribution network[J]. Transactions of China Electrotechnical Society, 2013, 28(7): 234-242. [13] Chaspierre G, Denis G, Panciatici P, et al.An active distribution network equivalent derived from large-disturbance simulations with uncertainty[J]. IEEE Transactions on Smart Grid, 2020, 11(6): 4749-4759. [14] 陈忠玉, 徐晋, 汪可友, 等. 计及跟随型和支撑型分布式光伏的广义综合负荷模型及两阶段参数聚合等效方法[J]. 电力自动化设备, 2023, 43(3): 86-93. Chen Zhongyu, Xu Jin, Wang Keyou, et al.Generalized composite load model and two-stage parameter aggregation and equivalent method considering grid-following and grid-forming distributed photovoltaic[J]. Electric Power Automation Equipment, 2023, 43(3): 86-93. [15] Mitrentsis G, Lens H.Data-driven dynamic models of active distribution networks using unsupervised learning techniques on field measurements[J]. IEEE Transactions on Smart Grid, 2021, 12(4): 2952-2965. [16] Zheng Chao, Wang Shaorong, Liu Yilu, et al.A novel equivalent model of active distribution networks based on LSTM[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019, 30(9): 2611-2624. [17] 王琦, 张文朝, 汤涌, 等. 统计综合法负荷建模中的调查方法及应用[J]. 电网技术, 2010, 34(2): 104-108. Wang Qi, Zhang Wenchao, Tang Yong, et al.A new load survey method and its application in component based load modeling[J]. Power System Technology, 2010, 34(2): 104-108. [18] 汤涌. 电力负荷的数学模型与建模技术[M]. 北京: 科学出版社, 2012. [19] 鞠平, 马大强. 电力系统负荷建模[M]. 2版. 北京: 中国电力出版社, 2008. [20] 汤涌, 赵兵, 张文朝, 等. 综合负荷模型参数的深化研究及适应性分析[J]. 电网技术, 2010, 34(2): 57-63. Tang Yong, Zhao Bing, Zhang Wenchao, et al.In-depth study and adaptability analysis on synthesis load models and parameters[J]. Power System Technology, 2010, 34(2): 57-63. [21] 赵兵, 汤涌, 张文朝, 等. 基于故障拟合法的综合负荷模型验证与校核[J]. 电网技术, 2010, 34(1): 45-50. Zhao Bing, Tang Yong, Zhang Wenchao, et al.Validation of synthesis load model and its parameter modification based on post-disturbance simulation method[J]. Power System Technology, 2010, 34(1): 45-50. [22] Lan Tiankai, Sun Huadong, Wang Qi, et al.Synthesis load model with renewable energy sources for transient stability studies[J]. IEEE Transactions on Power Systems, 2024, 39(1): 1647-1663. [23] 国家市场监督管理总局, 国家标准化管理委员会. 风电场接入电力系统技术规定第1部分:陆上风电: GB/T 19963.1—2021[S]. 北京: 中国标准出版社, 2021. [24] 国家质量监督检验检疫总局, 中国国家标准化管理委员会.光伏发电站接入电力系统技术规定: GB/T 19964—2012[S]. 北京: 中国标准出版社, 2013. [25] 国家市场监督管理总局, 国家标准化管理委员会. 风能发电系统通用电气仿真模型: GB/T 36237—2023[S]. 北京: 中国标准出版社, 2013. [26] 国家质量监督检验检疫总局, 中国国家标准化管理委员会. 分布式电源并网技术要求: GB/T 33593—2017[S]. 北京: 中国标准出版社, 2017. [27] 国家质量监督检验检疫总局, 中国国家标准化管理委员会. 分布式电源并网运行控制规范: GB/T 33592—2017[S]. 北京: 中国标准出版社, 2017. [28] 国家能源局. 风电机组低电压穿越建模及验证方法: NB/T 31053—2014[S]. 北京: 新华出版社, 2015. [29] 国家市场监督管理总局, 国家标准化管理委员会. 电力系统电压稳定评价导则: GB/T 40615—2021[S]. 北京: 中国标准出版社, 2021.