考虑柔性负荷的多目标安全约束机组组合优化模型及求解
发布时间:2018-07-28 07:36
【摘要】:以系统的经济成本和CO2排放量最小为优化目标,兼顾发电侧与需求侧柔性负荷的双侧协调配合,建立了考虑柔性负荷的多目标安全约束机组组合优化模型。针对传统法线边界交叉(normal boundary intersection,NBI)法求解上述模型时出现的混合整数二次规划和混合整数二次约束问题,提出了引入分段线性化策略的NBI法,在保证计算精度的同时,大大提高了求解效率。对一个10机24时段算例进行了仿真计算,一方面证明了所提算法的有效性,另一方面表明柔性负荷调度有利于提高系统的经济性,降低系统的碳排放量;同时,需求侧柔性负荷的参与对减小负荷峰谷差、缓解负荷高峰期用电压力具有重要作用,并促进了风电的进一步消纳,有助于清洁能源的利用。
[Abstract]:Taking the economic cost of the system and the minimum CO2 emission as the optimization objective, and taking into account the bilateral coordination between the generation side and the demand side flexible load, a multi-objective safety constrained unit combination optimization model considering the flexible load is established. In order to solve the mixed integer quadratic programming and mixed integer quadratic constraint problems in the traditional normal boundary crossing (normal boundary intersectionNBI method, a new NBI method with piecewise linearization strategy is proposed to ensure the calculation accuracy. The efficiency of solution is greatly improved. A simulation example of a 10-machine 24 time period is given. On the one hand, the validity of the proposed algorithm is proved. On the other hand, the flexible load scheduling is shown to be beneficial to improve the economy of the system and reduce the carbon emissions of the system. The participation of the demand side flexible load plays an important role in reducing the peak and valley difference of load and alleviating the peak load pressure. It also promotes the further absorption of wind power and contributes to the utilization of clean energy.
【作者单位】: 电力传输与功率变换控制教育部重点实验室(上海交通大学电气工程系);
【基金】:国家电网公司科技项目(SGSXDKY-DWKJ2015-001)~~
【分类号】:TM73
本文编号:2149376
[Abstract]:Taking the economic cost of the system and the minimum CO2 emission as the optimization objective, and taking into account the bilateral coordination between the generation side and the demand side flexible load, a multi-objective safety constrained unit combination optimization model considering the flexible load is established. In order to solve the mixed integer quadratic programming and mixed integer quadratic constraint problems in the traditional normal boundary crossing (normal boundary intersectionNBI method, a new NBI method with piecewise linearization strategy is proposed to ensure the calculation accuracy. The efficiency of solution is greatly improved. A simulation example of a 10-machine 24 time period is given. On the one hand, the validity of the proposed algorithm is proved. On the other hand, the flexible load scheduling is shown to be beneficial to improve the economy of the system and reduce the carbon emissions of the system. The participation of the demand side flexible load plays an important role in reducing the peak and valley difference of load and alleviating the peak load pressure. It also promotes the further absorption of wind power and contributes to the utilization of clean energy.
【作者单位】: 电力传输与功率变换控制教育部重点实验室(上海交通大学电气工程系);
【基金】:国家电网公司科技项目(SGSXDKY-DWKJ2015-001)~~
【分类号】:TM73
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1 周扬;基于多目标决策的特高压输电线路抗冰方法组合优化模型研究[D];湖南大学;2015年
,本文编号:2149376
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