基于直觉模糊交叉熵的配电网平衡能力提升方法A Research Method on balance capacity improvements of distribution networks based on intuitionistic fuzzy cross-entropy
裘愉涛,黄志华,盛跃峰
QIU Yutao,HUANG Zhihua,SHENG Yuefeng
摘要(Abstract):
在“双碳”目标下新型配电网具有典型平衡区的特征,提升配电网平衡区的平衡能力对保障新型配电网经济高效运行具有重要的工程意义。首先,考虑联络线利用率、自平衡度、可调能源占比、可控负荷占比和可再生能源利用率,构建5项平衡指标。其次,采用直觉模糊交叉熵算法计算指标权重,通过加权得到综合判别平衡因子,用于综合量化平衡能力。然后,以全寿命周期成本最小和综合判别平衡因子最大为目标,设备运行、配置和平衡指标作为约束条件,构建多目标优化配置模型,提出考虑分时电价的能量优化运行策略。最后,以工程实测数据为例进行了仿真,结果验证了所提方法的有效性。
The new distribution networks under the “dual carbon” goal have the characteristics of the typical balance areas. The balance capacity improvement of the distribution network balance area is of engineering significance to ensure the economical and efficient operation of new distribution networks. Firstly, five balancing indexes are constructed by considering the utilization ratio of tie lines, self-balancing degree, the proportion of schedulable energy, the proportion of controllable load, and the renewable energy utilization ratio. Secondly, an intuitionistic fuzzy crossentropy algorithm is used to calculate the index weights. A comprehensive discriminant balancing factor is obtained by weighting and used to quantify the balancing capacity comprehensively. Afterward, with the goal of minimizing the life cycle cost and maximizing the comprehensive discriminant balancing factor, and taking the equipment operation, configuration, and balancing indexes as constraints, a multi-objective optimal configuration model is constructed, and an optimal energy operation strategy considering time-of-use tariffs is proposed. Finally, the simulation on measured engineering data is conducted. The results verify the effectiveness of the proposed method.
关键词(KeyWords):
平衡区;直觉模糊交叉熵;可控负荷;全寿命周期成本
balance area;intuitionistic fuzzy cross-entropy;controllable load;life cycle cost
基金项目(Foundation): 国网浙江省电力有限公司科技项目(2021ZK14)
作者(Author):
裘愉涛,黄志华,盛跃峰
QIU Yutao,HUANG Zhihua,SHENG Yuefeng
DOI: 10.19585/j.zjdl.202212007
参考文献(References):
- [1] FELIX F W,PRAVIN P V,HUI R S Y.Smart grid with intelligent periphery for the future:architecture for the energy internet[J].Engineering,2015,1(4):436-446.
- [2] COHN B.Control of generation and power flow on interconnected systems[M].New York:John Wiley&Sons,Ltd,1966.
- [3]孙冰.高比例风能和太阳能发电开发模式评估与优化[D].天津:天津大学,2017.
- [4] SUN B,YU Y X,QIN C.Should China focus on the distributed development of wind and solar photovoltaic power generation? a comparative study[J]. Applied Energy,2017,185:421-439.
- [5]丁道齐.复杂大电网安全性分析[M].北京:中国电力出版社,2010.
- [6]余贻鑫,刘艳丽,秦超,等.分层分群电网体系结构[J].电力系统保护与控制,2020,48(22):1-8.
- [7]薛美东,赵波,张雪松,等.并网型微网的优化配置与评估[J].电力系统自动化,2015,39(3):6-13.
- [8]薛美东.微网优化配置和能量管理研究[D].杭州:浙江大学,2015.
- [9]王晓毅,唐忠.考虑供需自平衡和独立运行能力的并网型微电网容量优化配置[J].太阳能学报,2021,42(5):74-82.
- [10]刘平.微电网功率能量平衡特性分析与灵活性资源容量快速规划方法[D].广州:华南理工大学,2019.
- [11]谢鹏,蔡泽祥,刘平,等.考虑多时间尺度不确定性耦合影响的风光储微电网系统储能容量协同优化[J].中国电机工程学报,2019,39(24):7126-7136.
- [12] MARTINEZ-MARES A,FUERTE-ESQUIVEL C R.A robust optimization approach for the interdependency analysis of integrated energy systems considering wind power uncertainty[J].IEEE Transactions on Power Systems,2013,28(4):3964-3976.
- [13]张彼德,陈颖倩,李孟洁,等.含热泵和相变储能的多能互补微能源网运行优化方法研究[J].电力系统保护与控制,2021,49(1):106-114.
- [14]卢颖辉.计及微网储能系统多尺度不确定性容量协调优化[J].储能科学与技术,2021,10(6):2235-2243.
- [15] SHARMA S,BHATTACHARJEE S,BHATTACHARYA A.Grey wolf optimisation for optimal sizing of battery energy storage device to minimise operation cost of microgrid[J].IET generation transmission&distribution,2016,10(3):625-637.
- [16] LI P,JI Y,WU Z,et al.A new multi-attribute emergency decision-making algorithm based on intuitionistic fuzzy cross-entropy and comprehensive grey correlation analysis[J].Entropy,2020,22(7):768.
- [17] ZHANG S,GAO H,WEI G,et al.Grey relational analysis method based on cumulative prospect theory for intuitionistic fuzzy multi-attribute group decision making[J].Journal of intelligent&fuzzy systems,2021,41(2):3783-3795.
- [18] LI S,LI H. An approximation method of intuitionistic fuzzy numbers[J].Journal of intelligent&fuzzy systems,2017,32(6):4343-4355.
- [19] PRAKASH K,SURESH M,VENGATAASALAM S.A new approach for ranking of intuitionistic fuzzy numbers using a centroid concept[J].Mathematical Sciences,2016,10(4):177-184.
- [20]刘忠义,李庚银.混合型孤立微网全寿命周期经济性评估[J].现代电力,2015,32(4):1-7.
- [21]李存斌,庆格夫,陆龚曙,等.基于全生命周期成本的配电网变压器选型系统动力学模型[J].现代电力,2014,31(3):86-90.
- [22]杨成钢,赵建文,金华芳,等.基于低压配电网三相负荷不平衡时的自决策方案研究[J].电力电容器与无功补偿,2020,41(6):115-119.
- [23]杨勇,陆翌,许烽.基于FMSS的配电网馈线互联控制策略[J].电力电容器与无功补偿,2020,41(4):152-156.
- [24]王鹏,吕海霞,杨帅,等.基于指标分解的配电网可靠性投资优化模型[J].电器与能效管理技术,2021(3):47-50.
- [25]段穰达.有源配网后评价指标体系及其综合评价方法[J].发电技术,2021,42(1):86-93.
- [26]于国康,余金,高贵亮,等.基于熵权理论的FAHP模型在城市配电网建设评价中的研究与应用[J].四川电力技术,2021,44(1):29-34.
- [27]张兴友,陈涛,赵帅,等.配电网分布式电源承载能力评估指标体系构建及测算[J].山东电力技术,2020,47(11):19-23.
- [28]张军,贺晋宏,贺子清.分布式新能源配网网架多目标规划模型研究[J].山西电力,2020(4):1-6.
- [29]成亮,孙茜.基于大数据的配电网风险预警管控[J].山西电力,2020(3):39-42.
- [30]于涛,刁守斌,祝永刚,等.基于态势感知的智能配电网运行状态评估[J].山东电力技术,2020,47(2):13-19.