Dynamic containment service from industrial demand response resources coordinated with energy storage systems

IF 8.9 2区 工程技术 Q1 ENERGY & FUELS
Chuanshen Wu, Yue Zhou, Wei Gan, Jianzhong Wu
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引用次数: 0

Abstract

Industrial Demand Response Resources (DRRs) are widely used in the frequency response service market. However, some industrial DRRs with slow ramp rates (e.g., steam power generators in factories) cannot meet the stringent requirements of novel types of frequency response services, such as the latest Dynamic Containment (DC) service in the UK. In this paper, a Virtual Energy Storage System (VESS) model is developed to enable such industrial DRRs to participate in the DC service by coordinating with an Energy Storage System (ESS). In this VESS model, the power and energy capacity of the ESS are determined by considering its complementary characteristics with industrial DRRs, enabling the VESS to successfully provide the DC service as a whole under the proposed control strategy. Meanwhile, the operational baseline of the ESS is updated based on the “state of energy” management rules for energy-limited units as defined in the DC service. Simulation results verify that the established VESS model is able to meet the technical specifications of the DC service. Moreover, in scenarios where sustained frequency deviations occur due to severe faults, the established VESS model has superior performance over using an ESS alone.
与储能系统协调的工业需求响应资源提供的动态遏制服务
工业需求响应资源 (DRR) 广泛应用于频率响应服务市场。然而,一些斜率较慢的工业需求响应资源(如工厂中的蒸汽发电机)无法满足新型频率响应服务的严格要求,如英国最新的动态抑制(DC)服务。本文开发了一种虚拟储能系统(VESS)模型,通过与储能系统(ESS)协调,使此类工业 DRRs 能够参与 DC 服务。在该 VESS 模型中,ESS 的功率和能量容量是通过考虑其与工业 DRRs 的互补特性来确定的,从而使 VESS 能够在建议的控制策略下成功提供整体直流服务。同时,根据直流服务中定义的限能机组 "能量状态 "管理规则,更新 ESS 的运行基线。仿真结果验证了所建立的 VESS 模型能够满足直流服务的技术规范。此外,在严重故障导致持续频率偏差的情况下,已建立的 VESS 模型比单独使用 ESS 性能更优。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of energy storage
Journal of energy storage Energy-Renewable Energy, Sustainability and the Environment
CiteScore
11.80
自引率
24.50%
发文量
2262
审稿时长
69 days
期刊介绍: Journal of energy storage focusses on all aspects of energy storage, in particular systems integration, electric grid integration, modelling and analysis, novel energy storage technologies, sizing and management strategies, business models for operation of storage systems and energy storage developments worldwide.
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