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微电网；能源管理；预测控制；可再生能源；可控能源 1

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Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

《能源前沿（英文）》 doi: 10.1007/s11708-022-0851-7

摘要： Owing to increased penetration of three-phase and single-phase microgrids, distributed energy resources (DERs), and responsive loads, the maintenance of a three-phase balance by distribution networks is a significant challenge. Existing literature on distributed energy management for networked microgrids generally neglects the distribution network or employs a simplified phase balanced distribution network; thus, these evaluations are not applicable. Further, the underlying mutual coupling between the different phases of distribution feeders results in a more challenging situation. To solve this issue, this study sought to propose distributed energy management based on a three-phase unbalanced distribution network. Various three-phase or single-phase microgrids, utility-owned DERs, and responsive loads were coordinated through iteratively adjusted price signals. Based on the price signals received, the microgrid controllers (MCs) and distribution management system (DMS) updated the schedules of the DERs and responsive loads under their jurisdiction separately. The price signals were then updated according to the generation-load mismatch at each node and distributed to the corresponding MCs and DMS for the next iteration. The iteration continued until a sufficiently small generation-load mismatch was achieved at all nodes, that is, a balanced generation and load at all nodes under the agreed price signals. Considering a three-phase unbalanced distribution network, the price signals were determined per phase per node. Overall, the proposed distributed energy management coordinates microgrids, utility-owned DERs, responsive loads with guaranteed network constraints, and preserves the privacy of microgrid customers. This distributed energy management method was further demonstrated through various case studies on a three-phase networked microgrid test system.

关键词： distributed optimization     energy management     networked microgrids     three-phase distribution network     distributed energy resources    

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Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

《能源前沿（英文）》 doi: 10.1007/s11708-022-0847-3

摘要： With multiple microgrids (MGs) integrated into power distribution networks in a distributed manner, the penetration of renewable energy like photovoltaic (PV) power generation surges. However, the operation of power distribution networks is challenged by the issues of multiple power flow directions and voltage security. Accordingly, an efficient voltage control strategy is needed to ensure voltage security against ever-changing operating conditions, especially when the network topology information is absent or inaccurate. In this paper, we propose a novel data-driven voltage profile improvement model, denoted as system-wide composite adaptive network (SCAN), which depends on operational data instead of network topology details in the context of power distribution networks integrated with multiple MGs. Unlike existing studies that realize topology identification and decision-making optimization in sequence, the proposed end-to-end model determines the optimal voltage control decisions in one shot. More specifically, the proposed model consists of four modules, Pre-training Network and modified interior point methods with adversarial networks (Modified IPMAN) as core modules, and discriminator generative adversarial network (Dis-GAN) and Volt convolutional neural network (Volt-CNN) as ancillary modules. In particular, the generator in SCAN is trained by the core modules in sequence so as to form an end-to-end mode from data to decision. Numerical experiments based on IEEE 33-bus and 123-bus systems have validated the effectiveness and efficiency of the proposed method.

关键词： end-to-end learning     microgrids     voltage profile improvement     generative adversarial network    

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互联微电网可编程自适应安全扫描 Article

姜自民, 唐泽帆, 张鹏, 秦彦源

《工程（英文）》 2021年 第7卷 第8期   页码 1087-1100 doi: 10.1016/j.eng.2021.06.007

摘要：

现代微电网的重要特征是其核心的分布式能源和控制系统普遍依赖网络通信和软件系统。信息与物理系统的集成使得微电网获得了极佳的分布可控性、可扩展性和可观性；然而，恶意网络攻击者由此亦可以利用微电网信息物理系统中各种潜在的漏洞对微电网实施破坏。本文提出一种可编程自适应安全扫描（PASS）技术，用以保护电力电子化微电网系统免受各类电力机器人（power bot）的攻击。这一新技术尤其可以有效抵御三种危害性较大的攻击，即控制器操纵攻击、重放攻击和注入攻击。可编程自适应扫描融合软件定义网络与新的协同检测方法；这一新的安全措施可以使得微电网的互联具有超高的弹性和安全性、低成本与高度自动化等优点。协同检测结合了主动同步扫描和混沌检测两类新技术，可以有效识别电力机器人攻击的类型并对各类攻击快速定位，且不会中断或影响互联微电网的正常运行。可编程自适应安全扫描技术的有效性和实用性在大量实验中得到了确证。

关键词： 互联微电网     可编程自适应安全扫描     协同检测     软件定义网络    

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基于模型预测控制的多微电网系统能量管理 None

Ke-yong HU, Wen-juan LI, Li-dong WANG, Shi-hua CAO, Fang-ming ZHU, Zhou-xiang SHOU

《信息与电子工程前沿（英文）》 2018年 第19卷 第11期   页码 1340-1351 doi: 10.1631/FITEE.1601826

摘要： 为降低多微电网能量管理优化算法计算复杂度，提出一种基于模型预测控制能量优化管理方法。首先，采用分解协调实现供需平衡，协调多微电网系统剩余能量，使供电成本最小化。然后，根据多微电网潮流特性，建立能量管理模型并提出能量优化问题。接着，采用对偶分解法将优化问题分为两部分，引入基于全局优化的分布式预测控制算法，经过算法迭代与协调实现最优解。仿真结果表明，该方法能实时向用户提供所需能源，提高可再生能源利用率。此外，与粒子群算法（particle swarm optimization，PSO）进行比较。比较结果表明，该算法具有更好性能、更快收敛速度和更高效率。

关键词： 微电网；能源管理；预测控制；可再生能源；可控能源    

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标题 作者 时间 类型 操作

Distributed energy management for networked microgrids in a three-phase unbalanced distribution network

期刊论文

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated

期刊论文

互联微电网可编程自适应安全扫描

姜自民, 唐泽帆, 张鹏, 秦彦源

期刊论文

基于模型预测控制的多微电网系统能量管理

Ke-yong HU, Wen-juan LI, Li-dong WANG, Shi-hua CAO, Fang-ming ZHU, Zhou-xiang SHOU

期刊论文