计及多重差异的交直流混合多能微网多时间尺度优化调度

doi:10.19595/j.cnki.1000-6753.tces.230645

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摘要

近年来,可再生能源发电、热电联产、储能和电力电子变压器（Power Electronic Transformer,PET）等技术发展迅速,有利于构建多能互补、清洁高效的交直流混合多能微网（Multi-energy Microgrid,MEMG）,但不成熟的PET模型和复杂的不确定性为系统的优化调度带来了挑战。为此,首先构建了一种基于三级式PET的交直流混合MEMG结构,建立了包括PET在内的设备模型和不确定性模型。其次,提出了计及多重差异的MEMG多时间尺度优化调度策略,明确了日前-日内-实时三时间尺度调度的协调机制。其中,多重差异包含需求响应资源、系统调度目标和源荷预测精度在时间尺度上的差异,以及不同能量的响应特性差异。然后,建立了对应的多时间尺度优化调度模型,包括日前鲁棒机会约束优化模型、日内随机优化模型和实时分层滚动修正模型。并在日前调度中,改进了传统储能和电热耦合设备的备用模型,设计了基于PET的交直流系统备用共享机制,将调度模型转化为了混合整数线性规划模型。此外,给出了利用CPLEX求解器求解多时间尺度调度模型的步骤。最后,通过算例分析表明,所提调度策略可以通过逐级修正调度计划应对不确定性,且所设计备用方案兼具可靠性和灵活性。

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	蔡瑶
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关键词 ：电力电子变压器, 交直流混合多能微网, 多重差异, 多时间尺度优化调度

Abstract：

In recent years, technologies such as renewable energy generation, combined heat and power, energy storage, and power electronic transformer (PET) have developed rapidly, which is conducive to construct a multi-energy complementary, clean, and high-efficiency AC-DC hybrid multi-energy microgrid (MEMG) system. However, immature PET models and complex uncertainties bring challenges to its optimal scheduling. Some multi-time-scale optimal scheduling methods are presented to achieve the safe and economic operation of the MEMG under uncertainties. But the differences of the demand response resources and the generation and load uncertainties in different time scales, and the energy response characteristic difference are not fully considered in these scheduling models. Furthermore, when the reserve allocation method is used to deal with the uncertainties, the reserve models of energy storage equipment and electrothermal coupling equipment are unsatisfactory. Therefore, this paper aims to propose a multi-time-scale optimal scheduling model considering multiple differences for the AC-DC hybrid multi-energy microgrid (MEMG) with the employment of PET, and improve the reserve models of its internal equipment.
Firstly, an AC-DC hybrid MEMG structure with a three-stage PET is constructed, and the models of the devices including PET and the uncertainties are established. Secondly, the multi-time-scale optimal scheduling strategy of the MEMG is proposed, which considers the multiple differences, including the differences of demand response resources, system scheduling objectives and prediction accuracy of generation and loads in different time scales, and the difference of energy response characteristic. The coordination mechanism of the day-ahead, intraday and real-time scheduling is presented by the proposed strategy. Then, the corresponding multi-time-scale optimal scheduling model is established, which includes day-ahead robust chance-constrained optimization model, intraday stochastic optimization model and real-time hierarchical rolling modification model. In the day-ahead scheduling, the reserve models of traditional energy storage and electrothermal coupling equipment are improved, and the reserve sharing mechanism of AC and DC systems based on the PET is designed, and the scheduling model is transformed into a mixed-integer linear programming model. In the intraday scheduling, the mixed time resolution scheme is adopted to reduce real-time adjustment pressure. In addition, the detailed steps of solving the multi-time-scale optimal scheduling model with CPLEX solver are given. Finally, the feasibility and economy of the proposed scheduling strategy, as well as the reliability and flexibility of the designed day-ahead reserve scheme, are verified by a case study.
The following conclusions can be drawn from the simulation analysis: 1) The implement of the day-ahead, intraday and real-time scheduling in sequence can obtain an economical and reasonable scheduling scheme. The demand response strategies under different time scales can further promote the balance between supply and demand, and reduce scheduling costs. 2) The proposed reserve allocation method can ensure energy supply reliability under the extreme scenario, and achieve the flexible choice of the risk preference according to the decision maker's demand. 3) The influence of generation and load uncertainties cannot be ignored in the day-ahead or intraday scheduling. Both the day-ahead reserve allocation and intraday stochastic optimization strategies can reduce the real-time modification cost caused by the fluctuations of renewable energy generation and load demands.

Key words： Power electronic transformer AC-DC hybrid multi-energy microgrid multiple differences multi-time-scale optimal scheduling

收稿日期: 2023-05-08

PACS:

TM732

基金资助:

国家自然科学基金重点项目（52130702）和河北省高等学校科学技术研究项目（QN2023182）资助

通讯作者: 卢志刚, 男,1963年生,博士,教授,博士生导师,研究方向为能源互联网运行优化。E-mail：zhglu@ysu.edu.cn

作者简介: 蔡瑶, 女,1992年生,博士研究生,研究方向为综合能源系统运行优化。E-mail：caiy@ysu.edu.cn

引用本文:

蔡瑶, 卢志刚, 潘尧, 何良策, 周长磊. 计及多重差异的交直流混合多能微网多时间尺度优化调度[J]. 电工技术学报, 0, (): 8933-. Cai Yao, Lu Zhigang, Pan Yao, He Liangce, Zhou Changlei. Multi-time-scale Optimal Scheduling of AC-DC Hybrid Multi-energy Microgrid Considering Multiple Differences. Transactions of China Electrotechnical Society, 0, (): 8933-.

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