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基于混合储能的风光储联合发电系统优化调度策略及评价

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针对用户用电需求和可再生能源发电情况,建立以系统总运行成本最小为优化目标的并网型风-光-蓄电池-废弃矿井抽蓄联合发电系统优化调度模型,以等效负荷方差、联络线波动率、供电损失率为评价指标衡量优化调度结果,利用 CPLEX 求解器对调度模型进行最优求解.对 3种不同储能形式的优化调度模型进行仿真对比,结果显示:储能形式为蓄电池和废弃矿井抽蓄的混合储能时的总成本相比蓄电池与废弃矿井抽蓄分别减少了 62.21%与 49.18%;利用组合熵权秩和比法对优化结果进行排序评价,风-光-蓄电池-废弃矿井抽蓄联合发电系统加权秩和比值为 0.833,评分排序最优.所提模型在提升系统运行经济性的同时,提高了系统供电的可靠性,验证了所提模型的合理性与有效性.
Optimal dispatching strategy and evaluation of wind-solar-storage combined power generation system based on hybrid energy storage
In view of the electricity demand of users and the power generation of renewable energy,an optimal scheduling model of grid-connected wind-optical-battery-waste mine pumped storage combined power generation system is established,with the optimization objective of minimizing the total operating cost of the system.Moreover,the results of the optimal scheduling are measured with the evaluation indexes of the equivalent load variance,the fluctuation rate of the contact line,and the power supply loss rate.The optimal solution is performed using CPLEX solver for the scheduling model.Through simulation on the optimal scheduling models of three different energy storage forms,it is concluded that the total cost of the hybrid energy storage in the form of storage battery and abandoned mine pumped storage reduces by 62.21%and 49.18%compared with that of the battery alone and abandoned mine pumped storage alone,respectively.The optimization results are ranked and evaluated by using the combined entropy weight rank sum ratio method,and the weighted rank-sum ratio of the wind-solar-battery-abandoned mine pumped storage combined power generation system is 0.833,with the highest score ranking.The results show that the proposed model not only improves the operation economy of the system,but also enhances the reliability of the system power supply,which verifies the rationality and effectiveness of the proposed model.

co-generation systemoptimal dispatchhybrid energy storageevaluation indexes

田松峰、姚静、杨智好、徐琛、刘旭

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华北电力大学动力工程系,河北 保定 071003

华北电力大学河北省低碳高效发电技术重点研究室,河北 保定 071003

联合发电系统 优化调度 混合储能 评价指标

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(10)