考虑储能共享的风光储集群联合优化运行及竞标策略*

doi:10.11985/2023.01.024

电气工程学报 ›› 2023, Vol. 18 ›› Issue (1): 219-227.doi: 10.11985/2023.01.024

• 新能源发电与电能存储 • 上一篇下一篇

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考虑储能共享的风光储集群联合优化运行及竞标策略^*

伍仰金¹(), 郭茜婷¹(), 郑传良¹(), 郑峰²(), 潘郑楠³(), 张江云³()

1.国网福建省电力有限公司宁德供电公司宁德 352100
2.福州大学电气工程与自动化学院福州 350000
3.昆明理工大学电力工程学院昆明 650500

收稿日期:2021-11-29 修回日期:2022-03-08 出版日期:2023-03-25 发布日期:2023-04-19
作者简介:伍仰金，男，1976年生，高级工程师。主要研究方向为电力系统分析与控制。E-mail：503996508@qq.com
郭茜婷，女，1989年生，硕士，高级工程师。主要研究方向为继电保护。E-mail：panzhengnan201856@foxmail.com
郑传良，男，1995年生，助理工程师。主要研究方向为电力系统自动化。E-mail：Zheng827327@163.com
郑峰，男，1983年生，博士，副教授。主要研究方向为电力系统运行与控制。E-mail：zf_whu@163.com
潘郑楠，男，1997年生，硕士研究生。主要研究方向为电力系统优化调度。E-mail：1562103979@qq.com
张江云，男，2000年生，硕士研究生。主要研究方向为电力系统优化调度。E-mail：1284900085@qq.com
基金资助:
*国网福建省电力有限公司科技资助项目(52139020006V)

Joint Optimal Operation and Bidding Strategy of Scenic Reservoir Group Considering Energy Storage Sharing

WU Yangjin¹(), GUO Qianting¹(), ZHENG Chuanliang¹(), ZHENG Feng²(), PAN Zhengnan³(), ZHANG Jiangyun³()

1. Ningde Power Supply Company, State Grid Fujian Electric Power Co., Ltd., Ningde 352100
2. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350000
3. Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500

Received:2021-11-29 Revised:2022-03-08 Online:2023-03-25 Published:2023-04-19

摘要/Abstract

摘要：

在电力市场和低碳经济背景下，为增强新能源电站间的时空互补能力，提高自配储能利用率，建立了考虑储能共享的风光储集群联合优化运行及竞标策略模型。首先，基于新能源电站的互补特性，设计了考虑储能共享的风光储集群联合运行机制，并分析了风光储协同运行机理；其次，考虑以市场手段促进新能源消纳，建立风光电站参与日前能量市场，自配储能及共享储能为其提供平衡波动备用容量的市场收益模型；在此基础上，考虑电价及风光出力的不确定性，提出风光储集群联合竞标策略，以实现风光储集群利益最大化；最后，利用改进的粒子群优化算法求解联合竞标及协同运行模型。仿真结果表明，所提策略能够有效提高自配储能利用率，增加风光储集群收益，对新能源的市场消纳起到积极作用。

关键词: 共享储能, 风光储集群, 电力市场, 市场竞标策略, 协同优化调度, 改进粒子群优化算法

Abstract:

Under the background of power market and low-carbon economy, in order to enhance the space-time complementarity between new energy power stations and improve the utilization rate of self-contained energy storage, the joint optimal operation and bidding strategy model of wind-solar reservoir group considering energy storage sharing is established. Firstly, based on the complementary characteristics of new energy power stations, the joint operation mechanism of wind-solar reservoirs considering energy storage sharing is designed, and the cooperative operation mechanism of wind-solar reservoirs is analyzed. Secondly, considering the market means to promote new energy consumption, the market revenue model of wind and solar power stations participating in the day-ahead energy market, self-contained energy storage and shared energy storage providing balanced fluctuation reserve capacity is established. On this basis, considering the uncertainty of electricity price and wind-solar output, a joint bidding strategy for wind-solar reservoir group is proposed to maximize the benefits of wind-solar reservoir group. Finally, the improved particle swarm optimization algorithm is used to solve the joint bidding and cooperative operation model. The simulation results show that the strategy proposed in this paper can effectively improve the utilization rate of self-provided energy storage, increase the income of wind-solar storage group, and play a positive role in the market consumption of new energy.

Key words: Shared energy storage, scenery storage group, power market, market bidding strategy, coordinated optimization scheduling, improved particle swarm optimization algorithm

中图分类号:

TM73

伍仰金, 郭茜婷, 郑传良, 郑峰, 潘郑楠, 张江云. 考虑储能共享的风光储集群联合优化运行及竞标策略^*[J]. 电气工程学报, 2023, 18(1): 219-227.

WU Yangjin, GUO Qianting, ZHENG Chuanliang, ZHENG Feng, PAN Zhengnan, ZHANG Jiangyun. Joint Optimal Operation and Bidding Strategy of Scenic Reservoir Group Considering Energy Storage Sharing[J]. Journal of Electrical Engineering, 2023, 18(1): 219-227.

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参数	数值	参数	数值
ηsfES d	0.95	ηsfES c	0.95
PsfES,max d,i/(MW/h)	2.5	PsfES,max c,i/(MW/h)	2.5
α_up	0.8	α_dw	1.2
γ_tr/[元/(MW •h)]	30	λ_sfES/[元/(MW •h)]	1.8

收益	单独竞价	联合竞价
日前能量市场收益	720 437.42	728 618.49
出力偏差惩罚	-16 501.84	-7 021.76
储能运维成本	-43.455 6	-54.23
能量传输成本	—	-251.04
净利润	703 892.13	721 291.47

考虑储能共享的风光储集群联合优化运行及竞标策略^*

Joint Optimal Operation and Bidding Strategy of Scenic Reservoir Group Considering Energy Storage Sharing

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