电工技术学报  2018, Vol. 33 Issue (23): 5541-5554    DOI: 10.19595/j.cnki.1000-6753.tces.181033
电力系统 |
多形态激励型需求侧响应协同平衡可再生能源波动的鲁棒优化配置
易文飞, 张艺伟, 曾博, 黄永章
新能源电力系统国家重点实验室(华北电力大学) 北京 102206
Robust Optimization Allocation for Multi-Type Incentive-Based Demand Response Collaboration to Balance Renewable Energy Fluctuations
Yi Wenfei, Zhang Yiwei, Zeng Bo, Huang Yongzhang
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing 102206 China
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摘要 可再生能源发电固有的波动性是限制其大规模并网消纳的重要因素。为此,利用激励型需求侧响应(IBDR)响应速度快、可调度性好的特点,并考虑可再生能源和IBDR出力的不确定性,提出一种利用多形态IBDR协同平衡可再生能源波动性的多目标鲁棒优化配置的方法。首先,引入鲁棒优化理论,采用鲁棒区间的形式对可再生能源与多形态IBDR出力的不确定性进行描述。然后,分别以配电网运行成本和可再生能源利用率为目标,以可再生能源并网波动性约束、IBDR响应能力约束和功率平衡约束为约束条件,建立多目标条件下IBDR鲁棒优化配置模型。最后采用鲁棒对等转换将不确定性问题转换为确定性问题,并使用非支配集排序多目标遗传算法(NSGA-II)进行求解。以实际运行配电网为例,对所提模型和算法进行验证。计算结果表明,采用多形态IBDR协同平衡可再生能源波动的鲁棒优化配置方法可以有效平衡可再生能源波动。
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关键词 激励型需求侧响应可再生能源并网多时间尺度不确定性鲁棒对等转换    
Abstract:The fluctuating nature of renewable energy is a key limit for its large-scale integration. Considering the fast response characteristics of incentive-based demand response (IBDR) with and the uncertainty of renewable energy and IBDR, a method of utilizing the multi-type IBDR to balance the fluctuation of renewable energy is proposed. Firstly, the robust optimization theory is introduced, and the uncertainty of the renewable energy and IBDR is quantitatively described by multiple time scales in the form of robust intervals. Then, the multi-objective IBDR robust optimization configuration model is established with the objective function of the operation cost and the renewable energy utilization rate, which considers the renewable energy integration constraints, IBDR capacity constraints, and power balance constraints. Finally, the uncertainty problem is transformed into a deterministic problem by using counterpart transformation, and a non-dominated set genetic algorithm (NSGA-II) is used to solve the problem. Taking an actual distribution network as an example, the proposed model and algorithm are verified. The calculation results show that the robust optimal configuration using Multi-type IBDR can effectively balance the fluctuation of renewable energy.
Key wordsIncentive-based demand response    integration of renewable energy    multi-time scale    uncertainty    robust counterpart transformation   
收稿日期: 2018-06-15      出版日期: 2018-12-17
PACS: TM721  
基金资助:国家自然科学基金(51507061)和中央高校基本科研业务费专项基金(2017MS007, JB2017121)资助
作者简介: 易文飞 男,1987年生,博士研究生,研究方向为电力系统源荷互动、可再生能源并网等。E-mail:yiwenfei2006@163.com(通信作者);张艺伟 男,1994年生,硕士研究生,研究方向为可再生能源并网、综合能源系统等。E-mail:z_yi_wei@163.com
引用本文:   
易文飞, 张艺伟, 曾博, 黄永章. 多形态激励型需求侧响应协同平衡可再生能源波动的鲁棒优化配置[J]. 电工技术学报, 2018, 33(23): 5541-5554. Yi Wenfei, Zhang Yiwei, Zeng Bo, Huang Yongzhang. Robust Optimization Allocation for Multi-Type Incentive-Based Demand Response Collaboration to Balance Renewable Energy Fluctuations. Transactions of China Electrotechnical Society, 2018, 33(23): 5541-5554.
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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.181033          https://dgjsxb.ces-transaction.com/CN/Y2018/V33/I23/5541