Optimization Configuration of Battery Storage Coordinated with Differentiated Frequency Regulation Strategy of Wind, Solar, and Thermal Power

doi:10.16183/j.cnki.jsjtu.2024.334

Abstract

Abstract:

Diversified frequency regulation resources are an effective and inevitable approach for addressing frequency safety issues in new power system. Based on a differentiated frequency regulation strategy that coordinates wind power, photovoltaic (PV), thermal power, and energy storage, this paper proposes a source-side battery energy storage system (BESS) optimization method under multiple scenarios by coupling long-term planning with short-term unit commitment. Joint frequency regulation strategies for thermal-storage, wind-storage, and PV-storage systems are developed, refining various functional roles of supporting battery storage to enhance flexibility during frequency regulation. The optimization configuration model aims to minimize both the investment and operational costs of wind-solar-thermal-storage systems. Frequency response capacity available from the power system is set as a security constraint, and high-order multi-machine time-domain simulations are used to verify and iterate frequency security margins in the solution process. The proposed method is validated using an improved IEEE 24-bus system. The results show that battery energy storage can flexibly switch between smoothing fluctuations, reducing renewable energy curtailment, and participating in system frequency regulation.

Key words: frequency regulation strategy, optimization configuration, unit combination, frequency safety, battery storage

CLC Number:

TM743

CHENG Haowen, LI Kecheng, LIU Lu, CHENG Haozhong, SANG Bingyu. Optimization Configuration of Battery Storage Coordinated with Differentiated Frequency Regulation Strategy of Wind, Solar, and Thermal Power[J]. Journal of Shanghai Jiao Tong University, 2025, 59(10): 1407-1418.

Figures/Tables 9

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对比方案	火电容量/GW	风电容量/GW	光伏容量/MW	火储容量/MW	风储容量/MW	光储容量/MW
1	4.57	1.54	260	0	0	0
2	4.57	1.24	160	15	126	22
3	4.57	1.16	260	135	116	36
4	4.57	1.16	260	63	116	80

对比方案	电源年投资成本/ 亿元	储能年投资成本/ 亿元	年燃料成本/ 亿元	年开机成本/ 亿元	年切负荷成本/ 亿元	年风光运维成本/ 亿元	年弃能成本/ 亿元	总成本/ 亿元	火电机组		新能源机组
对比方案	电源年投资成本/ 亿元	储能年投资成本/ 亿元	年燃料成本/ 亿元	年开机成本/ 亿元	年切负荷成本/ 亿元	年风光运维成本/ 亿元	年弃能成本/ 亿元	总成本/ 亿元	发电量/ (GW·h)	发电量占比/%	发电量/ (GW·h)	发电量占比/%
1	7.008	0	14.313	0.200	0	0.374	2.323	24.218	5969	46.7	6818	53.3
2	5.368	1.251	14.357	0.220	0	0.314	0	21.510	6972	54.8	5753	45.2
3	5.336	2.298	14.426	0.220	0	0.303	0	22.584	7212	56.7	5513	43.3
4	5.336	1.817	14.468	0.220	0	0.295	0.151	22.285	7363	57.9	5363	42.1

对比方案	频率跌落最低值/Hz	调频时长/s	准稳态频率/Hz	频率变化速率/ (Hz·s^-1)
1	48.47	25.06	48.91	0.24
2	48.86	24.84	49.19	0.17
3	49.40	14.98	49.50	0.20
4	49.42	14.92	49.57	0.21

弃能比例上限/%	年电源投资成本/亿元	年储能投资成本/亿元	年燃料成本/ 亿元	年风光运维成本/亿元	年开机成本/亿元	年弃能成本/亿元	总成本/ 亿元	弃能率/%
0	5.336	2.057	14.42	0.303	0.22	0	22.34	0
0.5	5.336	2.009	14.43	0.302	0.22	0.027	22.32	0.50
1	5.336	1.973	14.43	0.300	0.22	0.050	22.31	0.91
1.5	5.336	1.937	14.44	0.299	0.22	0.073	22.30	1.32
2	5.336	1.901	14.45	0.298	0.22	0.096	22.30	1.74
2.5	5.336	1.853	14.46	0.296	0.22	0.128	22.29	2.32
3	5.336	1.817	14.46	0.295	0.22	0.151	22.28	2.73
5	5.336	1.817	14.46	0.295	0.22	0.151	22.28	2.73