考虑光伏负荷不确定性的光伏-储能集成 5G 基站的聚合调节与协调调度

IF 5 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Congfei Li, Jiayi Liu, Tian Ding, Xi Liu, Zhenyu Zhou, Zhongwei Sun
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引用次数: 0

摘要

光伏-储能一体化5G基站(BS)可大规模参与需求响应,进行电力交易,提供辅助服务,从而降低5G BS的高用电量,提高配电网的弹性资源容量。然而,光伏储能一体化5G BS的柔性资源调控仍面临调控主体多、光伏负荷不确定性被忽视、现有调控框架和调度方法适应性差等问题,导致资源调控决策存在较大的安全运行风险,影响了5G BS调度潜力的挖掘。针对上述问题,本文提出了一种考虑光伏负荷不确定性的光伏储能一体化5G BS聚合调控与协调调度方法。首先,建立了规模化光伏-储能一体化 5G BS 的分层集群协同聚合调控框架,构建了区域通信运营商(RCO)可调度能力模型和基于信息差距决策理论(IGDT)的光伏负荷不确定性模型。接着,提出了一个两阶段联合优化问题,以在降低 BS 集群运营成本的同时实现 RCO 收入最大化。然后,求解了第一阶段电力市场日前交易优化问题,并提出了基于 IGDT 的可靠运行规划和经济运行规划策略,以适应不同不确定性风险下的调节需求;基于考虑调度偏好的自适应共识算法(ACSP)求解了第二阶段 BS 簇实时运行优化问题,实现了 BS 簇中多个代理的分布式实时协调调度。最后,通过仿真实例验证了所提方法的有效性,表明光伏-储能一体化5G BS的聚合调节和协调调度能够实现配电网和通信运营商的互利共赢。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aggregated regulation and coordinated scheduling of PV-storage integrated 5G base stations considering PV-load uncertainty
Photovoltaic (PV)-storage integrated 5G base station (BS) can participate in demand response on a large scale, conduct electricity transaction and provide auxiliary services, thus reducing the high electricity consumption of 5G BSs and increasing the flexibility resource capacity of the distribution network. However, the flexible resource regulation of PV-storage integrated 5G BSs still faces problems such as many regulators, ignored PV-load uncertainty, and poor adaptability of existing regulatory frameworks and scheduling methods, which leads to greater security operation risks in resource regulation decisions and affects the exploitation of the 5G BSs scheduling potential. Aiming at the above problems, this paper proposes an aggregated regulation and coordinated scheduling method of PV-storage integrated 5G BSs considering PV-load uncertainty. Firstly, a hierarchical cluster-cooperative aggregated regulation framework for the scale PV-storage integrated 5G BSs is established, and a regional communication operator (RCO) schedulable capability model and an information gap decision theory (IGDT) based PV-load uncertainty model are built. Next, a two-stage joint optimization problem is proposed for maximizing the RCO income while reducing the BS cluster operation cost. Then, the first-stage day-ahead transaction optimization problem in the electricity market is solved, and the reliable operation planning and economic operation planning strategies are proposed based on IGDT to adapt to the regulation demand under different uncertainty risks; the second-stage BS cluster real-time operation optimization problem is solved based on the adaptive consensus algorithm considering scheduling preferences (ACSP), achieving distributed real-time coordinated scheduling of multiple agents in the BS cluster. Finally, the effectiveness of the proposed method is verified by simulation examples, which show that the aggregated regulation and coordinated scheduling of PV-storage integrated 5G BSs can achieve mutual benefits for the distribution network and communication operators.
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来源期刊
International Journal of Electrical Power & Energy Systems
International Journal of Electrical Power & Energy Systems 工程技术-工程:电子与电气
CiteScore
12.10
自引率
17.30%
发文量
1022
审稿时长
51 days
期刊介绍: The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces. As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.
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