中国电力 ›› 2016, Vol. 49 ›› Issue (8): 99-105.DOI: 10.11930/j.issn.1004-9649.2016.08.099.07

• 新能源 • 上一篇    下一篇

提高微网光伏消纳率的价格激励需求响应分层优化方法

马剑1,狄开丽2,李锐3   

  1. 1. 国网天津滨海供电公司,天津 300450;
    2. 华北电力大学 新能源电力系统国家重点实验室,河北 保定 071003;
    3. 江苏省电力公司检修分公司,江苏 苏州 215131
  • 收稿日期:2015-12-16 出版日期:2016-08-10 发布日期:2016-08-12
  • 作者简介:马剑(1990—),男,河北保定人,硕士,从事微网优化运行研究。

A Multi-Layer Optimization Method of Price Incentive Demand Response for Improving Photovoltaic Power Accommodation Rate of Microgrid

MA Jian1, DI Kaili2, LI Rui3   

  1. 1. State Grid Tianjin Binhai Electric Power Supply Corporation, Tianjin 300450, China;
    2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Baoding 071003, China;
    3. State Grid Jiangsu Electric Power Maintenance Branch Company, Suzhou 215131, China
  • Received:2015-12-16 Online:2016-08-10 Published:2016-08-12

摘要: 在光伏装机比例较高的微网中存在光伏的消纳问题,对负荷的合理调整有助于提高光伏的就地消纳能力,而价格激励需求响应是调整负荷的有效手段。基于分时电价模式下的价格激励需求响应机制,提出了通过优化电价以调节负荷进而提升微网光伏消纳率的方法。在分析了模型的多元非线性性质的基础上,有针对性地建立了兼顾发电经济性与光伏消纳率指标的多层优化模型,并通过改进模拟退火算法与混合整数规划算法进行分层迭代求解,最终实现了光伏消纳能力的提升。算例结果表明,该方法可在不增加需求侧负担的前提下有效提高微网中的光伏消纳率,并提升微网运行的整体经济性。

关键词: 微网, 光伏消纳, 需求响应, 分层优化, 优化运行

Abstract: The microgrid with high percentage of photovoltaic(PV) generation has the problem of PV power accommodation. Reasonable adjustment of power load can help to improve the PV accommodation rate, and the price-incentive demand response is an effective means to adjust the power load. Based on the time-of-use (TOU) price incentive demand response, an novel method is proposed to improve the PV accommodation rate of microgrid through optimizing the TOU price to reasonably adjust the power load. After analyzing the multivariate nonlinear property of the model, a multi-layer optimization model is established in this paper, which considers both the economics of power generation and the PV accommodation rate. The accommodation ability of microgrid for PV power can be improved through hierarchical iterative solution by the improved simulated annealing algorithm and the mixed integer programming. Numerical simulation results show that this method can significantly improve the PV power accommodation rate without increasing the cost of demand side, and consequently improve the overall economic performance of microgrid.

Key words: microgrid, PV power accommodation, demand response, multi-layer optimization, optimal operation

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