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风光火储联合供应火电厂厂用电系统优化调度

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随着风电和光伏发电量逐年增长,其消纳问题日益凸显.同时,大容量火电机组厂用电负荷也相对较高,造成额外的运行成本.对此,基于多能互补思想,建立了一种风光火储联合供应火电厂厂用电优化调度模型.首先,提出了风光火储联合供应火电厂厂用电的组成结构,将风电、光伏发电优先供应厂用电负荷;其次构建了风光火储联合供应火电厂厂用电优化调度模型,考虑了火电机组不同负荷率下的运行成本和风光储成本,采用层次分析法建立了基于总成本、弃风弃光成本和环境成本的多目标函数,设置相应约束条件;最后,设置不同的场景对比分析联合供应厂用电系统的优化结果,试验结果表明:所提出的联合供应厂用电系统模型可以减少机组运行成本和环境成本,并促进风光消纳.
Optimized dispatching of wind-PV-thermal-storage for auxiliary power system of thermal power plant
With the increasing annual growth of wind and solar power generation,the issue of power consumption has become increasingly prominent.Meanwhile,high-capacity thermal power plants face relatively high auxiliary power loads,resulting in additional operating costs.To address these issues,a joint optimization dispatch model for wind-PV-thermal-storage for auxiliary power system of thermal power plant is developed based on the concept of multi-energy complementarity.Firstly,the compositional structure of the wind-PV-thermal-storage integrated power supply for auxiliary power of thermal power plants is outlined,prioritizing the supply of auxiliary power loads with wind power and photovoltaic power.Secondly,a wind-PV-thermal-storage integrated power supply optimization scheduling model is developed,taking into account the operating costs of thermal power units at different load rates and the costs associated with wind power,photovoltaic power,and energy storage.A hierarchical analysis method is employed to establish a multi-objective function based on the total cost,wind and solar curtailment costs,and environmental costs,while considering corresponding constraint conditions.Finally,various scenarios are set up to compare and analyze the optimization results of the integrated power supply system for auxiliary power.Experimental results demonstrate that the proposed model for the integrated power supply system can effectively reduce unit operating costs and environmental costs,as well as promote the integration of wind and photovoltaic power.

wind and photovoltaic power consumptionjoint supplyauxiliary powermulti-energy complementoptimal dispatch

李炳阳、李新利、杨国田、王连友、赵娟

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华北电力大学控制与计算机工程学院,北京 102206

鹤壁鹤淇发电有限责任公司,河南 鹤壁 458000

风光消纳 联合供应 厂用电 多能互补 优化调度

2024

热力发电
西安热工研究院有限公司,中国电机工程学会

热力发电

CSTPCD北大核心
影响因子:0.765
ISSN:1002-3364
年,卷(期):2024.53(2)
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