Cross-Season Energy-Power Coordinated Dispatch Method for Hybrid Energy Storages Systems in Renewable-Rich Parks

doi:10.16183/j.cnki.jsjtu.2024.243

Abstract

Abstract:

To address the high curtailment of wind and solar power, unstable output, and low economic efficiency in energy systems, a coordinated dispatch method for hybrid energy storage system in renewable-rich parks is proposed, aiming to improve economic benefits and reduce carbon emissions. The proposed method fully leverages the dynamic response characteristics capacity differences of different energy storage type. The hydrogen storage system (HSS) primarily handles large-power, small-fluctuation regulation demands, while the battery storage system (BSS) is utilized for the low power demand with high power fluctuation, and gas storage system (GSS) improves system flexibility of the hybrid energy storage, and operates for the power balance of the energy system. The method takes into full account of uncertainties of wind turbines (WTs) output, photovoltaics (PVs) output, local power demand, and electricity prices. During the cross-season dispatch stage, the state of charges of HSS and GSS are determined based on the typical seasonal predicted data. In the single-day dispatch stage, power dispatch instructions for the hybrid energy storage system are generated according to long-term daily prediction. In the real-time dispatch stage, the WTs output is adjusted based on single-day dispatch results and short-term predictions of uncertainty scenarios to formulate an optimal operation plan. The numerical results show that the proposed method effectively reduces wind and solar curtailment and carbon emissions, while enhancing economic efficiency.

Key words: renewable-rich parks, hybrid energy storage system, cross-season energy-power dispatch, multi-timescale coordinated operation, stochastic optimization, carbon trading

CLC Number:

TM734

SHI Zichuan, TAI Nengling, FAN Feilong, CHEN Xinyi, LIU Zhong, ZHANG Xipeng. Cross-Season Energy-Power Coordinated Dispatch Method for Hybrid Energy Storages Systems in Renewable-Rich Parks[J]. Journal of Shanghai Jiao Tong University, 2026, 60(4): 682-694.

Figures/Tables 10

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参数	数值
${E}_{max}^{HS}$/(kW·h)	12000
${E}_{min}^{HS}$/(kW·h)	2400
${P}_{max}^{ED}$/(kW·h)	800
${P}_{max}^{FC}$/(kW·h)	600
η^ED	0.74
η^FC	0.5
${E}_{min}^{BS}$/(kW·h)	40
${E}_{max}^{BS}$/(kW·h)	160
${P}_{max}^{BS\_C}$、 ${P}_{max}^{BS\_D}$	120
η^BS_C、η^BS_D	0.92
${E}_{max}^{GS}$/(kW·h)	6000
${E}_{min}^{GS}$/(kW·h)	0
${P}_{max}^{HG}$/(kW·h)	200
${P}_{max}^{GT}$/kW	200
η^HG	0.75
η^GT	0.34
单位发电量的碳排放份额/[t·(MW·h)^-1]	0.7598
燃气机组供热基准值/(t·GJ^-1)	0.059

优化方法	可再生能源弃用量/(kW·h)	总运行成本/美元	碳排放量/kg
方法1	1193310.02	152794.44	2088199.75
方法2	348008.47	67660.69	996478.59
方法3	213290.85	45207.27	768174.37
方法4	189109.96	42551.95	733362.64

情况	可再生能源弃用量/(kW·h)	碳排放量/kg	碳交易收益/美元	总运行成本/美元
不考虑碳交易市场	227535.88	779826.76	0	141578.52
考虑碳交易市场	189109.96	733362.64	116380.50	42551.95