计及风光消纳的能源互联系统经济优化
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摘要
基于微网用户愿意参与需求响应以及多微网可进行能源互联的前提下,建立了既可提升风光消纳率又可降低微网运行费用的双层优化模型。首先,建立能源互联系统中所有微网的总日运行费用模型;其次,建立多微网互联系统风光消纳模型,从而构成双层优化模型;然后,利用宽容分层序列法对双层模型进行求解;最后,通过Shapley分配对微网构成的联盟日运行费用进行重新分配,以保障每个微网能够从合作中获得一定的收益。算例结果表明,所提方法可降低各微网的日运行费用,还可有效提高微网对分布式电源的消纳率。
Based on demand response and interconnection among multiple micro-grids,a two level consumption model is proposed to improve the consumption rate of renewable energy and reduce the micro-grids' operation cost. Firstly,daily operating cost of all grids in the internet is founded;secondly,consumption rate model of wind-photovoltaic generation is founded;and then, the founded two level model is solved by tolerance stratified sequence method;lastly,Shapley distribution is employed to allocate the daily cost of coalition to each micro-grid,to guarantee the profit of each gird in the cooperation. Simulation result shows that the proposed approach can contribute to the absorptive capacity of distributed energy generation,and can also reduce the daily cost of each micro-grid in the coalition.
Based on demand response and interconnection among multiple micro-grids,a two level consumption model is proposed to improve the consumption rate of renewable energy and reduce the micro-grids' operation cost. Firstly,daily operating cost of all grids in the internet is founded;secondly,consumption rate model of wind-photovoltaic generation is founded;and then, the founded two level model is solved by tolerance stratified sequence method;lastly,Shapley distribution is employed to allocate the daily cost of coalition to each micro-grid,to guarantee the profit of each gird in the cooperation. Simulation result shows that the proposed approach can contribute to the absorptive capacity of distributed energy generation,and can also reduce the daily cost of each micro-grid in the coalition.
引文
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[8]王蓓蓓,刘小聪,李扬.面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究[J].中国电机工程学报,2013,33(22):35-44.
[9]李鹏,华浩瑞,徐绍军,等.基于分时电价模式的分布式风光发电就地消纳模型[J].电力建设,2016,37(12):104-111.
[10]栾伟杰,蒋献伟,张节潭,等.考虑主动管理的分布式光伏发电消纳能力研究[J].电力建设,2016,37(1):137-143.
[11]艾欣,刘晓.基于需求响应的风电消纳机会约束模型研究[J].华北电力大学学报(自然科学版),2011,38(3):17-22.
[12] Shapley L S. A value for n-person games[J].Contributions to the Theory of Games,1953,2(28):307-317.
[2]丁明,王伟胜,王秀丽,等.大规模光伏发电对电力系统影响综述[J].中国电机工程学报,2014,34(1):1-14.
[3]汤奕,邓克愚.智能家电参与低频减载协调配合方案研究[J].电网技术,2013,37(10):2861-2867.
[4]汤奕,鲁针针,伏祥运.居民主动负荷促进分布式电源消纳的需求响应策略[J].电力系统自动化,2015,39(24):49-55.
[5] Pourmousavi S A,Patrick S N,Nehrir M H. Real timedemand response through aggregate electric waterheaters for load shifting and balancing wind generation[J]. IEEE Transactions on Smart Grid,2014,5(2):769-778.
[6] Daraeepour A,Kazempour S J,Patino Echeverri D,et al.Strategic demand side response to wind powerintegration[J]. IEEE Transactions on Power Systems,2016,31(5):3495-3505.
[7] Lorenzi G,Silva C A S. Comparing demand responseand battery storage to optimize self-consumption in PVsystems[J]. Applied Energy,2016,180:524-535.
[8]王蓓蓓,刘小聪,李扬.面向大容量风电接入考虑用户侧互动的系统日前调度和运行模拟研究[J].中国电机工程学报,2013,33(22):35-44.
[9]李鹏,华浩瑞,徐绍军,等.基于分时电价模式的分布式风光发电就地消纳模型[J].电力建设,2016,37(12):104-111.
[10]栾伟杰,蒋献伟,张节潭,等.考虑主动管理的分布式光伏发电消纳能力研究[J].电力建设,2016,37(1):137-143.
[11]艾欣,刘晓.基于需求响应的风电消纳机会约束模型研究[J].华北电力大学学报(自然科学版),2011,38(3):17-22.
[12] Shapley L S. A value for n-person games[J].Contributions to the Theory of Games,1953,2(28):307-317.