西安石油大学电子工程学院,陕西 西安 710065
闫宏亮(1975—),男,硕士,副教授,研究方向:电气系统优化控制、新能源微电网与储能系统能量管理,E-mail:12351249@qq.com;
李诗卓,硕士,研究方向:新能源微电网优化调度与储能能量管理,E-mail:1208712946@qq.com 。
收稿:2026-07-01,
修回:2026-07-26,
网络首发:2026-07-30,
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闫宏亮, 李诗卓, 高嘉洋, 等. 计及储能状态与设备运行友好性的风光储氢孤岛直流微电网优化调度[J]. 储能科学与技术, XXXX, XX(XX): 1-11.
Yan Hongliang, Li Shizhuo, Gao Jiayang, et al. Optimal Scheduling of Islanded DC Microgrid with Wind, Photovoltaic, Battery, and Hydrogen Storage Considering Energy Storage States and Equipment Operation Friendliness[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-11.
闫宏亮, 李诗卓, 高嘉洋, 等. 计及储能状态与设备运行友好性的风光储氢孤岛直流微电网优化调度[J]. 储能科学与技术, XXXX, XX(XX): 1-11. DOI: 10.19799/j.cnki.2095-4239.2026.0564.
Yan Hongliang, Li Shizhuo, Gao Jiayang, et al. Optimal Scheduling of Islanded DC Microgrid with Wind, Photovoltaic, Battery, and Hydrogen Storage Considering Energy Storage States and Equipment Operation Friendliness[J]. Energy Storage Science and Technology, XXXX, XX(XX): 1-11. DOI: 10.19799/j.cnki.2095-4239.2026.0564.
针对风光储氢孤岛直流微电网中源荷波动、电氢储能耦合复杂及燃料电池、电解槽频繁启停等问题,提出一种计及储能状态与设备运行友好性的优化调度策略。建立含光伏、风机、蓄电池、燃料电池、电解槽和储氢罐的调度模型,综合考虑功率平衡、设备运行边界、半连续运行、电氢互斥、蓄电池荷电状态(SOC)、储氢罐荷氢状态(SOH)及直流母线电压约束;在目标函数中引入运行维护成本、储能状态保持项和设备运行友好性项,以协调运行经济性、储能裕度和设备运行连续性。在模型预测控制(MPC)滚动优化框架下,采用赏金猎人优化算法(BHO)结合启发式约束修正策略,对预测时域内蓄电池、燃料电池和电解槽功率进行寻优,并与基于粒子群优化算法(PSO)的PSO-MPC进行对比。算例结果表明,BHO-MPC的24 h累计运行维护成本由175.90元降低至172.63元,降幅约为1.86%;储氢罐SOH波动幅度由14.29%降低至10.71%,期末SOH由53.77%提高至56.23%;燃料电池/电解槽完整启停周期总数由12次减少至8次,连续启停次数由6次减少至3次,蓄电池充放电切换次数由10次减少至8次;调度功率经底层控制执行后,直流母线电压始终处于安全运行范围内。结果表明,所提策略能够在保证系统安全运行的基础上,兼顾运行经济性、储能状态保持和设备运行友好性。
To address source-load power fluctuations
complex electric-hydrogen energy storage coupling
and frequent start-stop operation of fuel cells and electrolyzers in an islanded direct current (DC) microgrid
an optimal scheduling strategy considering energy storage states and equipment-friendly operation is proposed. A comprehensive scheduling model is established for an islanded DC microgrid consisting of photovoltaic arrays
wind turbines
battery units
fuel cells
electrolyzers
and a hydrogen storage tank. The model incorporates system power balance
equipment operating limits
semi-continuous operation constraints
electric-hydrogen mutual exclusion
battery state of charge (SOC)
hydrogen tank state of hydrogen (SOH)
and DC bus voltage constraints. An integrated objective function is formulated by introducing operation and maintenance cost
an energy storage state maintenance term
and an equipment-friendly operation term to coordinate operating economy
energy storage regulation margins
and equipment operation continuity. Under the rolling optimization framework of model predictive control (MPC)
the bounty hunter optimizer (BHO) is combined with a heuristic constraint correction strategy to optimize the power allocation of the battery
fuel cell
and electrolyzer within the prediction horizon. The proposed BHO-MPC strategy is compared with a particle swarm optimization (PSO)-based MPC strategy. The case study results show that
compared with PSO-MPC
BHO-MPC reduces the 24 h cumulative operation and maintenance cost from 175.90 CNY to 172.63 CNY
representing a reduction of approximately 1.86%. The fluctuation range of the hydrogen storage tank SOH decreased from 14.29% to 10.71%
and the terminal SOH increased from 53.77% to 56.23%. The total number of complete start-stop cycles of the fuel cell and electrolyzer decreased from 12 to 8
the number of continuous start-stop events decreased from 6 to 3
and the number of battery charge-discharge switching events decreased from 10 to 8. After the scheduled power was executed by the lower-level power control
the DC bus voltage remained within the safe operating range.
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