| 引用本文: | 刘闯,孙傲,王艺博,贺欢,张海亮,宁辽逸.计及电熔镁负荷与储能联合调峰的电力系统日前-日内联合经济调度方法[J].电力自动化设备,2022,42(2): |
| LIU Chuang,SUN Ao,WANG Yibo,HE Huan,ZHANG Hailiang,NING Liaoyi.Day-ahead and intra-day joint economic dispatching method of electric power system considering combined peak-shaving of fused magnesium load and energy storage[J].Electric Power Automation Equipment,2022,42(2): |
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| 摘要: |
| 随着碳达峰、碳中和目标的推进，新能源并网数量将大规模增加，新能源固有的随机性和波动性使得电网发电侧与需求侧的平衡受到挑战，现有的调度模式不能满足以新能源为主体的电力系统调度需求。为了提高电力系统的调峰能力，提出将需求侧具有代表性的电熔镁负荷纳入调度主体，通过在电熔镁负荷侧配置电池储能装置，与火电机组进行联合优化调度。以电力系统运行成本最小为优化目标，形成日前-日内联合经济调度方法，并采用遗传算法进行求解。最后以实例进行了仿真计算，说明了所提调峰模型的有效性，可以提高系统的新能源消纳量，降低系统的运行成本。 |
| 关键词: 电熔镁负荷 电力系统调度 风电消纳 遗传算法 储能 |
| DOI：10.16081/j.epae.202110031 |
| 分类号:TM73 |
| 基金项目: |
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| Day-ahead and intra-day joint economic dispatching method of electric power system considering combined peak-shaving of fused magnesium load and energy storage |
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LIU Chuang1, SUN Ao1, WANG Yibo1, HE Huan2, ZHANG Hailiang1, NING Liaoyi2
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1.School of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China;2.Anshan Electric Power Supply Company of State Grid Liaoning Electric Power Supply Co.,Ltd.,Anshan 114009, China
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| Abstract: |
| With the promotion of carbon peak and carbon neutrality target, the number of new energy generation connected to the grid will be considerably increased. The inherent randomness and volatility of new energy will significantly influence the balance between generation side and demand side of power grid. Accordingly, the existing dispatching mode cannot meet the dispatching demand of power system dominated by new energy. To improve the peak-shaving capacity of power system, the representative fused magnesium load on the demand side is brought into the dispatching main body to carry out joint optimal dispatching with thermal power units through the configuration of battery energy storage device on the fused magnesium load side. Taking the minimum operation cost of electric power system as the optimization objective, a day-ahead and intra-day joint economic dispatching method is formed and solved by genetic algorithm. An example is given to illustrate the effectiveness of the proposed peak-shaving model, which can improve the new energy consumption of the system and reduce the operation cost of the system. |
| Key words: fused magnesium load electric power system dispatching wind power consumption genetic algorithm energy storage |
