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Smart Grid  2021 

新能源配电网“源–网–荷”协同运行优化模型
Optimization Model for Cooperative Operation of “Source-Grid-Load” in Distribution Network with Renewable Energy

DOI: 10.12677/SG.2021.112015, PP. 148-163

Keywords: 新能源配电系统,“源–网–荷”协同运行,虚拟储能,多目标优化,智能软开关
Distribution System with Renewable Energy
, Cooperative Operation of “Source-Grid-Load”, Virtual Energy Storage (VES), Multi Objective Optimization, Soft Open Point (SOP)

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Abstract:

由于配网系统线路功率和节点电压的约束,新能源注入配网时面临着运行欠佳的问题。因此,本文提出一种考虑智能软开关(SOP)与虚拟储能(VES)有功/无功调节能力的“源–网–荷”协同优化运行策略。首先,构建了配电网运行下“源–网–荷”层的模型以及约束条件;然后,考虑配电网运行约束并以综合运行成本费用目标函数。最后,采用改进IEEE33节点配电系统进行算例仿真,与不同策略进行对比分析,验证本文策略的有效性。结果表明,本文提出的“源–网–荷”协同运行策略可以有效提高配电系统消纳新能源的能力,减少电压偏差率,提高运行经济性。
Due to the constraints of line power and node voltage in distribution network system, the operation of new energy injection distribution network is faced with the problem of poor operation. Therefore, this paper proposes a “source-network-load” cooperative optimization operation strategy considering the active/reactive power regulation ability of intelligent soft switch (SOP) and virtual energy storage (VES) in this paper. Firstly, the model and constraints of “source-network- load” layer under distribution network operation are constructed, and then the operation constraints of distribution network are considered and the objective function of integrated operation cost is taken into account. Finally, the IEEE33 node distribution system is simulated and compared with different strategies to verify the effectiveness of this strategy. The results show that the “source-network-load” cooperative operation strategy proposed in this paper can effectively improve the ability of distribution system to absorb new energy, reduce voltage deviation rate and improve operation economy.

References

[1]  王毅, 张宁, 康重庆. 能源互联网中能量枢纽的优化规划与运行研究综述及展望[J]. 中国电机工程学报, 2015, 35(22): 5669-5681.
[2]  余晓丹, 徐宪东, 陈硕翼. 综合能源系统与能源互联网简述[J]. 电工技术学报, 2016, 31(1): 1-13.
[3]  郝苗, 键强, 张宁, 康重庆. 能量路由器对于配电网运行优化的影响分析[J]. 中国电机工程学报, 2017, 37(10): 2832-2839
[4]  王成山, 宋关羽, 李鹏, 等. 基于智能软开关的智能配电网柔性互联技术及展望[J]. 电力系统自动化, 2016, 25(22): 168-175.
[5]  Mollenhauer, E., Christidis, A. and Tsatsaronis, G. (2018) Increasing the Flexibility of Combined Heat and Power Plants with Heat Pumps and Thermal Energy Storage. Journal of Energy Resources Technology, 140, Article ID: 020907.
https://doi.org/10.1115/1.4038461
[6]  马腾飞, 吴俊勇, 郝亮亮. 基于能源集线器的微能源网能量流建模及优化运行分析[J]. 电网技术, 2018, 42(1): 179-186.
[7]  徐宪东, 贾宏杰, 靳小龙区域综合能源系统电/气/热混合潮流算法研究[J]. 中国电机工程学报, 2015, 35(14): 3634-3642.
[8]  曾鸣, 杨雍琦, 刘敦楠. 能源互联网“源-网-荷-储”协调优化运营模式及关键技术[J]. 电网技术, 2016, 40(1): 114-124.
[9]  徐青山, 李淋, 蔡霁霖, 等. 考虑电能交互的冷热电多微网系统日前优化经济调度[J]. 电力系统自动化, 2018, 42(21): 36-46.
[10]  宋毅, 孙充勃, 李鹏. 基于智能软开关的有源配电网供电恢复方法[J]. 中国电机工程学报, 2018, 38(15): 390-4398.
[11]  李鹏, 张培深, 王成山, 等. 基于智能软开关与市场机制的有源配电网阻塞管理方法[J]. 电力系统自动化, 2017, 41(20): 9-16.
[12]  王怡岚, 童亦斌, 黄梅. 基于需求侧响应的空调负荷虚拟储能模型研究[J]. 电网技术, 2017, 41(2): 394-401.
[13]  靳小龙, 穆云飞, 贾宏杰. 融合需求侧虚拟储能系统的冷热电联供楼宇微网优化调度方法[J]. 中国电机工程学报, 2017, 37(2): 581-590.
[14]  随权, 林湘宁, 童宁. 基于改进两阶段鲁棒优化的主动配电网经济调度[J]. 中国电机工程学报, 2020, 40(7): 2166-2179.
[15]  Moeini, A.M., Farzin, H., Fotuhi, F.M., et al. (2017) Generalized Analytical Approach to Assess Reliability of Renewable Based Energy Hubs. IEEE Transactions on Power Systems, 32, 368-377.
https://doi.org/10.1109/TPWRS.2016.2549747
[16]  马鑫, 郭瑞鹏, 王蕾, 等. 基于二阶锥规划的交直流主动配电网日前调度模型[J]. 电力系统自动化, 2018, 42(22): 144-153.
[17]  Mao, M.Q., Jin, P., Chang, L.C., et al. (2014) Economic Analysis and Optimal Design on Microgrid with SS-PVs for Industries. IEEE Transactions on Sustainable Energy, 5, 1328-1336.
https://doi.org/10.1109/TSTE.2014.2327067

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