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

doi:10.19595/j.cnki.1000-6753.tces.181033

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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 words： Incentive-based demand response integration of renewable energy multi-time scale uncertainty robust counterpart transformation

Received: 15 June 2018 Published: 17 December 2018

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TM721

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	Yi Wenfei
	Zhang Yiwei
	Zeng Bo
	Huang Yongzhang

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Yi Wenfei,Zhang Yiwei,Zeng Bo等. Robust Optimization Allocation for Multi-Type Incentive-Based Demand Response Collaboration to Balance Renewable Energy Fluctuations[J]. Transactions of China Electrotechnical Society, 2018, 33(23): 5541-5554.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.181033 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I23/5541

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