| 引用本文: | 胡弘,韦化,李昭昱.风电接入下核电参与电力系统调峰的协调优化模型[J].电力自动化设备,2020,40(5): |
| HU Hong,WEI Hua,LI Zhaoyu.Coordinated optimization model considering nuclear power participating in peak load regulation of power system with wind power[J].Electric Power Automation Equipment,2020,40(5): |
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| 摘要: |
| 提出了一种风电接入下核电参与电力系统调峰的风-核-火多源协调优化模型，缓解了风电消纳的难题，提升了电力系统优化运行的经济性。在保证安全裕度的前提下，该模型将核电线性功率升降速率按3个档位进行离散化，减少了变量数，仅用4个0-1变量与1个整数变量实现了调峰时三档速度、两档深度、低功率时段的自由选择，相较于已有的核电调峰模型，其灵活性更高且变量更少。同时，采用改进极限场景法，即利用1个确定的风电预测场景和2个极限场景表示置信区间内风电的不确定性，简化了其复杂度且优化了备用容量。计算结果表明，所提模型按实际情况选择最经济的负荷跟踪方案，系统发电总成本相较于核电带基荷运行的情况减少了22%，相较于核电按固定调峰模型运行的情况减少了12%，并全额消纳了采用这2种模型时所不能消纳的风电出力，从而有效削峰填谷，缓解了电网的调峰压力。 |
| 关键词: 核电机组 风电消纳 调峰 协调优化 运行成本 |
| DOI：10.16081/j.epae.202005015 |
| 分类号:TM614;TM623 |
| 基金项目:国家自然科学基金资助项目(51667003) |
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| Coordinated optimization model considering nuclear power participating in peak load regulation of power system with wind power |
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HU Hong, WEI Hua, LI Zhaoyu
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Guangxi Key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning 530004, China
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| Abstract: |
| A wind-nuclear-thermal multi-source coordinated optimization model that considers the participation of nuclear power in peak load regulation of power system with wind power is proposed. It alleviates the difficulty in accommodating wind power and improves the economy of power system operation. On the premise of satisfying the security margin, the model discretizes the linear up and down rate of nuclear power into three gears, which results in reducing the number of variables. More specifically, only four binary variables and one integer variable are introduced to provide flexible transition among three-speed, two-depth and low-power periods. Compared with existing models, the proposed model exhibits higher flexibility and includes fewer variables. Meanwhile, a modified limit scenario approach, in which the uncertainty of wind power in confidence interval is represented by a wind power forecasting scenario and two limit scenarios, is proposed to reduce the computational complexity and optimize the reserve capacity. Calculative results show that the proposed model provides the most economical load-following scheme, which is adaptive to actual situation. The total cost of system generation is reduced by 22% compared with the base-load scenario and by 12% compared with the fixed-load scenario, at the same time, the system accommodates all wind power output which cannot be fully accommodated in the two comparison scenarios. In addition, the coordinated optimization model enables peak-load shifting and facilitates the peak load regulation of power system. |
| Key words: nuclear power units wind power accommodation peak load regulation coordinated optimization operating cost |
