| 引用本文: | 崔雪,邹晨露,王恒,周斌.考虑风电消纳的电热联合系统源荷协调优化调度[J].电力自动化设备,2018,(7): |
| CUI Xue,ZOU Chenlu,WANG Heng,ZHOU Bin.Source and load coordinative optimal dispatching of combined heat and power system considering wind power accommodation[J].Electric Power Automation Equipment,2018,(7): |
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| 摘要: |
| 能源互联网的范畴内，电热联合系统是消纳风电的一种有效手段，为此构建了包含储热、热电联产和需求响应资源的综合电热系统调度模型。提出了风电消纳日前日内两阶段调度方法：在日前调度阶段，机组、储热装置以及电价型需求响应配合消纳风电短期预测出力；在日内调度阶段，机组以及激励型需求响应配合消纳风电超短期预测出力。以系统发电运行成本最小为目标函数，综合考虑弃风惩罚费用和需求响应成本建立了电热联合系统调度模型，使用改进帝国竞争算法解决电热系统约束条件过多的问题，使得到的解更可行。算例分析表明，使用所提调度模型和方法能够有效提高电热联合系统风电消纳水平。 |
| 关键词: 风电消纳 储热 热电联产 需求响应 调度模型 改进帝国竞争算法 |
| DOI：10.16081/j.issn.1006-6047.2018.07.010 |
| 分类号:TM761;TM614 |
| 基金项目: |
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| Source and load coordinative optimal dispatching of combined heat and power system considering wind power accommodation |
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CUI Xue1, ZOU Chenlu1, WANG Heng2, ZHOU Bin1
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1.School of Electrical Engineering, Wuhan University, Wuhan 430072, China;2.State Grid Xuzhou Power Supply Company, Xuzhou 221005, China
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| Abstract: |
| CHP(Combined Heat and Power) system is an effective measure to improve wind power accommodation in energy internet. A dispatching model containing thermal energy storage, CHP and demand response resources is constructed. A two-stage dispatching method in the time scales of day-ahead and in-day is proposed. In the day-ahead dispatching stage, the unit, thermal energy storage device and the price demand response participate in consuming short-term wind power forecasting. In the in-day dispatching stage, the unit and incentive demand response participate in consuming ultra-short-term wind power forecasting. The dispatching model is established for CHP system, which takes the minimum system operating costs as the objective function and synthetically considers the cost of wind abandoning penalty and demand response. The MICA(Modified Imperial Competition Algorithm) is used to solve the problem of too many constraints and make the solution more feasible. The case analysis shows that the proposed two-stage dispatching model and method can consume more wind power. |
| Key words: wind power accommodation thermal energy storage combined heat and power demand response dispatching model MICA |
