基于网侧资源协调的自储能柔性互联配电系统日前-日内优化

doi:10.19595/j.cnki.1000-6753.tces.221929

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摘要

为优化储能型智能软开关（E-SOP）、传统网侧调控设备的运行策略,提升高渗透率光伏配电网运行水平,提出了基于网侧资源协调的自储能柔性互联配电系统日前-日内优化模型。首先,提出了“源网荷储”下多种网侧资源协调利用的多时间尺度优化控制架构。其次,在日前阶段构建计及有载调压变压器、无功补偿装置、联络开关、E-SOP和柔性负荷的长时间有功-无功联合优化模型,在日内阶段建立多目标滚动优化模型,并采用线性化方法将模型转化为混合整数线性规划模型。然后,基于KL散度构建源荷不确定性模糊集,给出日前两阶段分布鲁棒优化模型转化过程和基于列与约束生成算法的求解方法。最后,算例仿真验证所提方法的有效性。

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	李勇
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	乔学博
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	曹一家

关键词 ：储能型智能软开关, 柔性互联配电系统, 分布鲁棒优化, 滚动优化, 日前-日内优化

Abstract：

The access of high-permeabilitydistributed photovoltaic (DPV) has brought new technical challenges to the operation and control of distribution network. Soft open point (SOP), a typicalflexible interconnection equipment that can replace traditional interconnection switch, is capable of accurate control of power flow between feeders and dynamic reactive power compensation. It provides a new way to improve the operation level of distribution network with high permeability photovoltaic. However, at present, the cost of SOP is still high, so it is necessary to study the coordinated operation strategy of SOP and traditional grid-side control equipment, and realize the economic and efficient operation of distribution network at multiple time scales. Hence this paper proposes a day-ahead and intra-day optimization model of flexible interconnected distribution system with self-energy storage based on the grid-side resource coordination.
Firstly, a multi-time scale optimization control structure for coordinated utilization of multiple gird-side resources under 'source-network-load-storage' is proposed. Secondly, in day-ahead stage, this paper proposes a long time-scale active and reactive power coordinated optimization model considering on-load tap changer (OLTC), reactive power compensation devices, interconnection switches, E-SOP and flexible load (FL). In intra-day stage, it proposes a multi-objective rolling optimization model. And the model is transformed into a mixed integer linear programming model by using linearization techniques. Then, the fuzzy set of source and load uncertainties is established based on KL divergence, and the transformation process of two-stage distributionally robust optimization (DRO) model and the solutionmethod based on column and constraint generation (C&CG) algorithm for the day-ahead stage are given. Andtheidealpointmethodis adopted tosolvemulti-objective intra-daymodel.
The numerical results show that, in the day-ahead stage, the coordinated optimization of E-SOP, OLTC and network reconfiguration is better for reducing the operation cost, and OLTC has better effect on network loss optimization than network reconfiguration. In addition, the utilization of DRO method can take into account the economy and robustness of the day-ahead optimization scheme.In the intra-day stage, the network loss value and voltage deviation of the multi-objective optimization are between the optimization results of the two single-objective optimizations, which can ensure that the distribution network has better economy and security.The operation strategy of rapid control equipment is optimized at 15min intervals. SOP can quickly transfer the active power between feeders to optimize the power flow and voltage of distribution network, and cooperate with SVC to provide reactive power support; Energy storage charging and discharging and FL reduction response can also reduce network loss and improve voltage distribution.
The following conclusions can be drawn from the study: (1) The day-ahead and intra-day optimization based on the grid-side resource coordination can give full play to the fast and slow regulation characteristics of the grid side control equipment, and improve the operation efficiency of the distribution network; (2) In the day-ahead stage, the total operation cost of coordinated optimization of E-SOP, OLTC and network reconfiguration is about 8.0% lower than that of E-SOP alone; (3) In the intra-day stage, multi-objective rolling optimization can take into account the network loss and voltage optimization, and can obtain more accurate operation strategies of various rapid control equipment.
This paper only aims at the coordinated utilization of grid-side resources in the day-ahead and intra-day stage. The next step is to research on the multi-time scale operation optimization of ‘day-ahead optimization, intra-day rolling and real-time correction'.

Key words： Soft open points with energy storage flexible interconnected distribution system distributionally robust optimization rolling optimization day-ahead and intra-day optimization

收稿日期: 2022-10-09

PACS:

TM732

基金资助:

国家自然科学基金联合基金重点支持项目（U22B200134）,国家重点研发计划政府间国际科技创新合作重点项目（2022YFE0129300）和南方电网公司科技项目（030400KK52210064（GDKJXM20210061））资助

通讯作者: 乔学博,男,1992年生,博士后,研究方向为智能配电网运行优化与规划、柔性直流配电技术。E-mail：qiaoxb@csg.cn

作者简介: 李勇男,1982年生,教授,博士生导师,研究方向为能源/电力系统优化运行与控制、电能变换系统与装备。E-mail：yongli@hnu.edu.cn

引用本文:

李勇, 凌锋, 乔学博, 钟俊杰, 曹一家. 基于网侧资源协调的自储能柔性互联配电系统日前-日内优化[J]. 电工技术学报, 0, (): 8907-. LiYong, Ling Feng, Qiao Xuebo, Zhong Junjie, Cao Yijia. Day-Ahead and Intra-Day Optimization of Flexible Interconnected Distribution System with Self-Energy Storage Based on the Grid-Side Resource Coordination. Transactions of China Electrotechnical Society, 0, (): 8907-.

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