Research on the automatic power control system of the photovoltaic-storage collaborative integrated smart energy station

doi:10.3969/j.issn.2097-0706.2023.09.010

Abstract

Abstract:

To maximize the revenue of adjustable loads participating in power market ancillary services， it is imperative to enhance the automatic control on adjustable loads. In view of the large adjustable capacity and fast response speed of photovoltaic-storage collaborative smart energy systems， the basic requirements for the integrated smart energy's control systems participating in automatic power control （APC） ancillary services are proposed based on the adjustable load assessment and compensation indicators in the Implementation Measures for East China Regional Power Grid Operation Management and Implementation Measures for East China Regional Power Ancillary Service Management. Then， a complete three-level control system architecture is constructed， including multi-scale load forecasting， APC response strategy optimization and bottom-level collaborative control. The deployment and typical monitoring interfaces of the control system are given. Project practices show that this control system can achieve fully automatic and economic APC response for photovoltaic-storage collaborative smart energy， providing reference for similar park-type integrated smart energy stations participating in APC ancillary services and the design of bottom-level control system.

Key words: integrated smart energy, photovoltaic-storage collaboration, adjustable load, electric auxiliary service market, automatic power control, new power system

CLC Number:

TK01

CHEN Xiaoying, LOU Jikai, QIU Yaming, HU Jing, LU Yichen, CEN Yao, LEI Ding. Research on the automatic power control system of the photovoltaic-storage collaborative integrated smart energy station[J]. Integrated Intelligent Energy, 2023, 45(9): 77-85.

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研究项目		对控制系统的要求
考核要求	反向调节	协调需求侧资源正确地响应调节指令
	过度调节	准确控制需求侧资源的响应精度
	延时响应	高效组织完成需求侧资源控制调节
	隐瞒虚假	控制系统稳定运行
补偿	基本补偿	提高能源站可调节容量
补偿	调用补偿	协同控制需求侧资源，增加单次APC响应的里程；选择控制合适的需求侧资源进行响应，提高参与APC响应频次