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面向沙戈荒区域新能源消纳的电力系统日前低碳调度策略

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针对在沙漠、戈壁、荒漠区域的新能源机组面临消纳和经济性差等问题,提出一种面向沙戈荒区域新能源消纳的电力系统日前低碳调度策略.考虑系统结构的复杂性,采用模型分层的优化方案.上层模型以需求响应(DR)调用成本最小和优化负荷与风光预测总值协方差最大为目标,旨在优化用电负荷曲线,释放电网新能源消纳潜力;下层模型通过协调风电机组、光伏机组、储能电站、火电机组以及上层模型得到的优化负荷,同时将阶梯型的碳交易成本引入到目标函数中,建立多目标"源网储荷"协同低碳调度模型,旨在提高系统运行的经济性,降低系统的碳排放量,提高新能源的消纳能力.最后基于改进的IEEE 30节点系统进行仿真测试,结果验证了模型的有效性.
DAY-AHEAD LOW-CARBON DISPATCHING STRATEGY OF POWER SYSTEM FOR NEW ENERGY CONSUMPTION IN DESERT,GOBI AND DESERTIFICATION LAND
A day-ahead low-carbon dispatching strategy of power system for new energy consumption in desert,Gobi and desertification land is proposed to address the issues of poor consumption and economic efficiency of new energy units.Considering the complexity of the system structure,a model layered optimization scheme is adopted.The upper level model aims to optimize the power load curve and release the potential of new energy consumption in the power grid by minimizing the covariance between the optimized load and the total wind forecast value.By coordinating the optimized load of wind turbines,photovoltaic units,energy storage power stations,thermal power units and the upper model,the lower model introduces the carbon transaction cost of the ladder into the objective function,and establishes the multi-objective"source-grid-storage-load"collaborative low-carbon scheduling model,aiming to improve the economy of system operation,reduce the carbon emissions of the system,and improve the absorption capacity of new energy.Finally,simulation tests are carried out on the improved IEEE 30-node system,and the results verify the effectiveness of the model.

distributed power generationenergy storagedemand responsedesertGobi and desertification landnew energy consumption"source network load storage"coordination

李帅虎、欧阳中、孙杰懿、马瑞、王炜宇

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长沙理工大学电气与信息工程学院,长沙 410114

国网湖南省电力有限公司电力科学研究院,长沙 410208

分布式发电 储能 需求响应 沙戈荒区域 新能源消纳 "源网荷储"协同

湖南省自然科学基金面上项目国网湖南省电力公司科技项目

2023JJ300245216A522000Z

2024

10.19912/j.0254-0096.tynxb.2023-1861

太阳能学报
中国可再生能源学会

太阳能学报

CSTPCD北大核心
影响因子：0.392
ISSN：0254-0096
年,卷(期)：2024.45(7)
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