基于可行域投影理论的新能源电力系统协同运行方法

doi:10.19595/j.cnki.1000-6753.tces.230196

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Abstract Vigorously developing the new-type power system dominated by renewable energy to build a clean, low-carbon, safe and efficient energy system is the path for China to achieve the "3060 carbon dioxide emission and carbon neutrality target". With the gradual increase of the penetration of renewable energy, the deep defects of the traditional energy system have gradually emerged. The imperfect energy coordination system, such as difficulty in optimal allocation of resources across provinces and low utilization of distributed energy, has become a bottleneck restricting the construction of new-type power systems. Therefore, the development of the new power system urgently needs to break the barriers of the traditional operation system, realize the efficient cooperation across regions and levels, and optimize the allocation of resources in a larger scope.
Firstly, a new cooperative operation mode of power system based on feasible region projection theory is proposed. Each subsystem in the power system forms a high-dimensional feasible space by aggregating the internal operation constraints and projecting to the common connection points to form its equivalent feasible region. The superior system implements the power balance dispatching of the whole network according to the feasible region of the subsystem to realize the efficient cooperation among all levels of the dispatching system.
Subsequently, the definition of feasible region and its mathematical expression of polyhedron are proposed. It is necessary to find all vertices of the dual space to describe the feasible region. However, the redundancy constraint in power system leads to numerous variables in the dual problem. Even all vertices in the high-dimensional space of regional power grid with simple structure are difficult to be retrieved by traversal. Therefore, combined with umbrella constraint identification method, a feasible region characterization method based on external approximation method is proposed in this paper. The redundant constraints of the original problem are eliminated by umbrella constraint identification, and the feasible region is quickly segmented by external approximation algorithm.
Three application scenarios are proposed: (1) Feasible regions aggregation of distribution network/virtual power plants. (2) Inter-provincial multiline available transmission capacity calculation. (3) Multi-period transmission and distribution network coordinated operation. Case studies show that the algorithm and model proposed in this paper can effectively reduce the scale of the regional power grid, thereby reducing the information interaction between the regional power grid and the system operator, and improving the operation optimization efficiency of the renewable energy power system.

Key words： Renewable energy power system feasible region equivalent projection coordination scheduling

Received: 17 February 2023

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TM732

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	Zhang Tiance
	Li Gengyin
	Wang Jianxiao
	Wei Wei
	Zhou Ming

Cite this article:

Zhang Tiance,Li Gengyin,Wang Jianxiao等. 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.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.230196 OR https://dgjsxb.ces-transaction.com/EN/Y2024/V39/I9/2784

[1] Chen Xinyu, Liu Yaxing, Wang Qin, et al.Pathway toward carbon-neutral electrical systems in China by mid-century with negative CO₂ abatement costs informed by high-resolution modeling[J]. Joule, 2021, 5(10): 2715-2741.
[2] Wang Jianxiao, Zhong Haiwang, Yang Zhifang, et al.Exploring the trade-offs between electric heating policy and carbon mitigation in China[J]. Nature Communications, 2020, 11: 6054.
[3] 吴珊, 边晓燕, 张菁娴, 等. 面向新型电力系统灵活性提升的国内外辅助服务市场研究综述[J]. 电工技术学报, 2023, 38(6): 1662-1677.
Wu Shan, Bian Xiaoyan, Zhang Jingxian, et al.A review of domestic and foreign ancillary services market for improving flexibility of new power system[J]. Transactions of China Electrotechnical Society, 2023, 38(6): 1662-1677.
[4] 王剑晓, 夏清, 李庚银, 等. 基于多市场均衡的综合能源市场机制设计[J]. 中国电机工程学报, 2021, 41(17): 5789-5803.
Wang Jianxiao, Xia Qing, Li Gengyin, et al.Mechanism design for integrated energy markets based on multi-market equilibrium[J]. Proceedings of the CSEE, 2021, 41(17): 5789-5803.
[5] Pan Ersheng, Liu Siwei, Liu Jianqin, et al.The state grid corporation of China’s practice and outlook for promoting new energy development[J]. Energy Conversion and Economics, 2020, 1(2): 71-80.
[6] 国家发展改革委, 国家能源局. 关于完善能源绿色低碳转型体制机制和政策措施的意见[EB/OL] (2022-01-30). https://www.ndrc.gov.cn/xxgk/zcfb/tz/202202/t20220210_1314511.html.
[7] 魏泓屹, 卓振宇, 张宁, 等. 中国电力系统碳达峰·碳中和转型路径优化与影响因素分析[J]. 电力系统自动化, 2022, 46(19): 1-12.
Wei Hongyi, Zhuo Zhenyu, Zhang Ning, et al.Transition path optimization and influencing factor analysis of carbon emission peak and carbon neutrality for power system of China[J]. Automation of Electric Power Systems, 2022, 46(19): 1-12.
[8] 李军徽, 安晨宇, 李翠萍, 等. 计及调峰市场交易的储能-新能源-火电多目标优化调度[J]. 电工技术学报, 2023, 38(23): 6391-6406.
Li Junhui, An Chenyu, Li Cuiping, et al.Multi-objective optimization scheduling method considering peak regulating market transactions for energy storage-new energy-thermal power[J]. Transactions of China Electrotechnical Society, 2023, 38(23): 6391-6406.
[9] 张衡, 张沈习, 程浩忠, 等. Stackelberg博弈在电力市场中的应用研究综述[J]. 电工技术学报, 2022, 37(13): 3250-3262.
Zhang Heng, Zhang Shenxi, Cheng Haozhong, et al.A state-of-the-art review on Stackelberg game and its applications in power market[J]. Transactions of China Electrotechnical Society, 2022, 37(13): 3250-3262.
[10] 杨浩, 苏文栋, 谷毅, 等. 面向耦合系统的交替方向滚动时域电压分层协同优化控制[J]. 电工技术学报, 2023, 38(21): 5846-5861.
Yang Hao, Su Wendong, Gu Yi, et al.Voltage hierarchical cooperative control of coupled system using model predictive control and alternating direction method of multipliers[J]. Transactions of China Electrotechnical Society, 2023, 38(21): 5846-5861.
[11] Yu Mingkai, Wang Jianxiao, Yan Jie, et al.Pricing information in smart grids: a quality-based data valuation paradigm[J]. IEEE Transactions on Smart Grid, 2022, 13(5): 3735-3747.
[12] Qu Ming, Ding Tao, Wei Wei, et al.An analytical method for generation unit aggregation in virtual power plants[J]. IEEE Transactions on Smart Grid, 2020, 11(6): 5466-5469.
[13] 杨珺, 侯俊浩, 刘亚威, 等. 分布式协同控制方法及在电力系统中的应用综述[J]. 电工技术学报, 2021, 36(19): 4035-4049.
Yang Jun, Hou Junhao, Liu Yawei, et al.Distributed cooperative control method and application in power system[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4035-4049.
[14] Bragin M A, Dvorkin Y.TSO-DSO operational planning coordination through “l₁-Proximal” surrogate Lagrangian relaxation[J]. IEEE Transactions on Power Systems, 2022, 37(2): 1274-1285.
[15] Li Zhigang, Wu Wenchuan, Zhang Boming, et al.Decentralized multi-area dynamic economic dispatch using modified generalized benders decomposition[J]. IEEE Transactions on Power Systems, 2016, 31(1): 526-538.
[16] Molzahn D K, Dörfler F, Sandberg H, et al.A survey of distributed optimization and control algorithms for electric power systems[J]. IEEE Transactions on Smart Grid, 2017, 8(6): 2941-2962.
[17] Tan Zhenfei, Zhong Haiwang, Xia Qing, et al.Non-iterative multi-area coordinated dispatch via condensed system representation[J]. IEEE Transactions on Power Systems, 2021, 36(2): 1594-1604.
[18] Wei Wei, Liu Feng, Mei Shengwei.Real-time dispatchability of bulk power systems with volatile renewable generations[J]. IEEE Transactions on Sustainable Energy, 2015, 6(3): 738-747.
[19] Tan Zhenfei, Zhong Haiwang, Xia Qing, et al.Estimating the robust P-Q capability of a technical virtual power plant under uncertainties[J]. IEEE Transactions on Power Systems, 2020, 35(6): 4285-4296.
[20] 姜涛, 贾宏杰, 姜懿郎, 等. 跨区互联电网热稳定安全域边界近似方法[J]. 电工技术学报, 2016, 31(8): 134-146.
Jiang Tao, Jia Hongjie, Jiang Yilang, et al.Approximating method of wide area thermal security region boundary in bulk power system[J]. Transactions of China Electrotechnical Society, 2016, 31(8): 134-146.
[21] Ardakani A J, Bouffard F.Identification of umbrella constraints in DC-based security-constrained optimal power flow[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3924-3934.
[22] 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.
[23] Zhao Lin, Zhang Wei, Hao He, et al.A geometric approach to aggregate flexibility modeling of thermostatically controlled loads[J]. IEEE Transactions on Power Systems, 2017, 32(6): 4721-4731.
[24] Silva J, Sumaili J, Bessa R J, et al.Estimating the active and reactive power flexibility area at the TSO-DSO interface[J]. IEEE Transactions on Power Systems, 2018, 33(5): 4741-4750.
[25] Lin Wei, Yang Zhifang, Yu Juan, et al.Tie-line power transmission region in a hybrid grid: fast characterization and expansion strategy[J]. IEEE Transactions on Power Systems, 2020, 35(3): 2222-2231.
[26] Yang Zhifang, Zhong Haiwang, Bose A, et al.A linearized OPF model with reactive power and voltage magnitude: a pathway to improve the MW-only DC OPF[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1734-1745.