光储协同综合智慧能源站自动功率控制系统研究

doi:10.3969/j.issn.2097-0706.2023.09.010

摘要/Abstract

摘要：

为使可调节负荷参与电力市场辅助服务期间收益最大化，提升可调节负荷的自动控制水平势在必行。针对可调节容量相对较大、响应速度相对较快的光储协同综合智慧能源，在分析《华东区域电力并网运行管理实施细则》《华东区域电力辅助服务管理实施细则》对可调节负荷相关考核补偿指标要求的基础上，提出综合智慧能源控制系统参与自动功率控制（APC）辅助服务应具备的基本条件，构建“多尺度负荷预测-APC响应策略寻优-底层协同控制”完整的控制系统架构，制定三层控制系统架构的程序部署方式，并给出典型系统的监控画面。项目实践表明，该控制系统能够实现光储协同综合智慧能源的全自动、经济地APC响应，为类似园区型综合智慧能源站参与APC辅助服务提供了参考，对底层控制系统层面的研究有借鉴意义。

关键词: 综合智慧能源, 光储协同, 可调节负荷, 辅助服务电力市场, 自动功率控制, 新型电力系统

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

中图分类号:

TK01

陈晓英, 楼继开, 邱亚鸣, 胡静, 陆裔晨, 岑垚, 雷顶. 光储协同综合智慧能源站自动功率控制系统研究[J]. 综合智慧能源, 2023, 45(9): 77-85.

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.

图/表 11

图1

图2

表1

图3

图4

图5

图6

图7

图8

图9

图10

参考文献 23

[1]	韩凝晖, 周颖, 石坤, 等. 面向新型电力系统电量平衡的可调节负荷互动潜力分析[J]. 电力需求侧管理, 2022, 24(6):70-76.
	HAN Ninghui, ZHOU Ying, SHI Kun, et al. Adjustable load interaction potential oriented to power balance of new power system[J]. Power Demand Side Management, 2022, 24(6): 70-76.
[2]	许高秀, 邓晖, 房乐, 等. 考虑需求侧灵活性资源参与的国内外电力辅助服务市场机制研究综述[J]. 浙江电力, 2022, 41(9):3-13.
	XU Gaoxiu, DENG Hui, FANG Le, et al. A review of ancillary service market mechanism study at home and abroad considering flexible resources on demand side[J]. Zhejiang Electric Power, 2022, 41(9):3-13.
[3]	王盛, 谈健, 史文博, 等. 英国新型电力系统建设经验以及对我国省级电网发展启示[J]. 综合智慧能源, 2022, 44(7): 19-32. doi: 10.3969/j.issn.2097-0706.2022.07.003
	WANG Sheng, TAN Jian, SHI Wenbo, et al. Practices of the new power system in the UK and inspiration for the development of provincial power systems in China[J]. Integrated Intelligent Energy, 2022, 44(7): 19-32. doi: 10.3969/j.issn.2097-0706.2022.07.003
[4]	姚建国, 杨胜春, 王珂, 等. 智能电网“源-网-荷”互动运行控制概念及研究框架[J]. 电力系统自动化, 2012, 36(21):1-6,12.
	YAO Jianguo, YANG Shengchun, WANG Ke, et al. Concept and research framework of smart grid "source-grid-load"interactive operation and control[J]. Automation of Electric Power Systems, 2012, 36(21):1-6,12.
[5]	孙惠, 翟海保, 吴鑫. 源网荷储多元协调控制系统的研究及应用[J]. 电工技术学报, 2021, 36(15):3264-3271.
	SUN Hui, ZHAI Haibao, WU Xin. Research and application of multi-energy coordinated control of generation,network,load and storage[J]. Transactions of China Electrotechnical Society, 2021, 36(15):3264-3271.
[6]	周成伟, 李鹏, 俞斌, 等. 风光储微电网储能系统容量优化配置[J]. 综合智慧能源, 2022, 44(12): 56-61. doi: 10.3969/j.issn.2097-0706.2022.12.008
	ZHOU Chengwei, LI Peng, YU Bin, et al. Optimal configuration for energy storage system capacity of wind-solar-storage microgrid[J]. Integrated Intelligent Energy, 2022, 44(12): 56-61. doi: 10.3969/j.issn.2097-0706.2022.12.008
[7]	宁剑, 吴继平, 江长明, 等. 考虑资源运行特性的可调节负荷调峰调频优化控制策略[J]. 电力系统自动化, 2022, 46(15):11-19.
	NING Jian, WU Jiping, JIANG Changming, et al. Optimal control strategy of peak and frequency regulation for adjustable loads considering operation characteristics of resources[J]. Automation of Electric Power Systems, 2022, 46(15): 11-19.
[8]	宁剑, 江长明, 张哲, 等. 可调节负荷资源参与电网调控的思考与技术实践[J]. 电力系统自动化, 2020, 44(17):1-8.
	NING Jian, JIANG Changming, ZHANG Zhe, et al. Thinking and technical practice of adjustable load resources participating in dispatching and control of power grid[J]. Automation of Electric Power Systems, 2020, 44(17): 1-8.
[9]	陈逸涵. 考虑多种需求侧可调节负荷的协同调频策略研究[D]. 南京: 东南大学, 2021.
	CHEN Yihan. Research on coordinated frequency regulation strategy considering multiple demand side adjustable loads[D]. Nanjing: Southeast University, 2021.
[10]	张敏, 王建学, 王秀丽, 等. 面向新能源消纳的调峰辅助服务市场双边交易机制与模型[J]. 电力自动化设备, 2021, 41(1):84-91.
	ZHANG Min, WANG Jianxue, WANG Xiuli, et al. Bilateral trading mechanism and model of peak regulation auxiliary service market for renewable energy accommodation[J]. Electric Power Automation Equipment, 2021, 41(1):84-91.
[11]	史沛然, 李彦宾, 江长明, 等. 第三方独立主体参与华北电力调峰市场规则设计与实践[J]. 电力系统自动化, 2021, 45(5):168-174.
	SHI Peiran, LI Yanbin, JIANG Changming, et al. Rule design and practice for third-party independent entities participating in electric power peak regulation auxiliary service market of North China[J]. Automation of Electric Power Systems, 2021, 45(5):168-174.
[12]	周竞, 耿建, 唐律, 等. 可调节负荷资源参与电力辅助服务市场规则分析与思考[J]. 电力自动化设备, 2022, 42(7): 120-127.
	ZHOU Jing, GENG Jian, TANG Lv, et al. Analysis and thinking on market rules for adjustable load resources participating in power auxiliary service[J]. Electric Power Automation Equipment, 2022, 42(7): 120-127.
[13]	文旭, 杨可, 毛锐, 等. 可调节负荷调控能力评估行业标准研究及应用[J]. 电网技术, 2021, 45(11): 4585-4594.
	WEN Xu, YANG Ke, MAO Rui, et al. Research and application of industry standards for evaluation of adjustable load control capacity[J]. Power System Technology, 2021, 45(11): 4585-4594.
[14]	张希良, 姜克隽, 赵英汝, 等. 促进能源气候协同治理机制与路径跨学科研究[J]. 全球能源互联网, 2021, 4(1):1-4.
	ZHANG Xiliang, JIANG Kejun, ZHAO Yingru, et al. Boost interdisciplinary research on development pathway and synergy governance of energy and climate[J]. Journal of Global Energy Interconnection, 2021, 4(1):1-4.
[15]	国家电网有限公司. 能源互联网情境下负荷调控能力提升工作三年行动计划[Z]. 2020.
[16]	徐航. 综合能源系统中的综合需求响应策略研究[D]. 杭州: 浙江大学, 2019.
	XU Hang. Research on integrated demand response strategy in integrated energy system[D]. Hangzhou: Zhejiang University, 2019.
[17]	蒋峰. 基于光伏功率预测的聚合商投标策略研究[D]. 合肥: 合肥工业大学, 2020.
	JIANG Feng. Research on bidding strategy of load aggregator based on forecast of PV power[D]. Hefei: Hefei University of Technology, 2020.
[18]	苏超, 武小梅, 田明正. 考虑储能装置的负荷聚合商运营策略研究[J]. 宁夏电力, 2017(5): 17-24.
	SU Chao, WU Xiaomei, TIAN Mingzheng. Research on operational strategies of demand response aggregator considering energy storage system[J]. Ningxia Electric Power, 2017(5): 17-24.
[19]	张靖琛, 于鹤洋, 周自强, 等. 面向负荷聚合商的智能合约微服务架构设计及实现[J]. 电力系统自动化, 2022, 46(21):125-133.
	ZHANG Jingchen, YU Heyang, ZHOU Ziqiang, et al. Design and implementation of smart contract micro-service architecture for load aggregator[J]. Automation of Electric Power Systems, 2022, 46(21):125-133.
[20]	范亚洲. 变频空调需求响应潜力评估及聚合控制研究[D]. 北京: 华北电力大学, 2021.
	FAN Yazhou. Research on demand response potential evaluation and aggregated control of inverter air-conditioning[D]. Beijing: North China Electric Power University, 2021.
[21]	刘啸天. 分散式电采暖负荷群调节能力评估及提升技术研究[D]. 吉林: 东北电力大学, 2020.
	LIU Xiaotian. Research on regulation capabilityevaluation and improvement for distributed electric heating load group[D]. Jilin:Northeast Electric Power University, 2020.
[22]	陈可. 柔性负荷聚合建模及协调控制研究[D]. 南京: 东南大学, 2021.
	CHEN Ke. Research on aggregated modelling of flexible loads and the coordination control[D]. Nanjing: Southeast University, 2021.
[23]	许志荣, 张高瑞. 响应用户有限理性需求的微电网优化策略[J]. 综合智慧能源, 2022, 44(11):43-49. doi: 10.3969/j.issn.2097-0706.2022.11.006
	XU Zhirong, ZHANG Gaorui. Optimization strategy of microgrid responding users' bounded rational demand[J]. Integrated Intelligent Energy, 2022, 44(11): 43-49. doi: 10.3969/j.issn.2097-0706.2022.11.006

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