邓长虹;张思捷;杨威;姚维为;刘正谊;

• 1:武汉大学电气工程学院

摘要(Abstract)：

实时电价作为需求侧响应项目之一,能够有效引导电力消费者参与电力市场的运行。在美国PJM电力市场的实时电价机制下,通过模糊控制器对光储联合系统进行实时调度。由于模糊控制器不具备学习能力,因此提出隶属函数变比的概念,并建立以隶属函数变比为优化变量的控制器参数优化模型,并采用智能蜂群算法进行求解。该方法不仅实现了对光储联合系统的实时调度,还能提高系统对光伏的就地消纳能力,并有效降低系统的运行成本。算例分析验证了所提方法的实时性和经济性。

关键词(KeyWords)： PJM市场;模糊逻辑控制;智能蜂群;实时调度

Abstract:

Keywords:

基金项目(Foundation): 国家重点研发计划(2017YFB0903700)~~

作者(Author): 邓长虹;张思捷;杨威;姚维为;刘正谊;

Email:

DOI: 10.13335/j.1000-3673.pst.2018.0229

参考文献(References)：

• [1]王怡岚,童亦斌,黄梅,等.基于需求侧响应的空调负荷虚拟储能模型研究[J].电网技术,2017,41(2):394-401.Wang Yilan,Tong Yibin,Huang Mei,et al.Research on virtual energy storage model of air conditioning loads based on demand response[J].Power System Technology,2017,41(2):394-401(in Chinese).
• [2]杨彦,陈皓勇,张尧,等.计及分布式发电和不完全信息可中断负荷选择的电力市场模型[J].中国电机工程学报,2011,31(28):15-24.Yang Yan,Chen Haoyong,Zhang Yao,et al.An electricity market model with distributed generation and interruptible load under incomplete information[J].Proceedings of the CSEE,2011,31(28):15-24(in Chinese).
• [3]Celik B,Roche R,Bouquain D,et al.Decentralized neighborhood energy management with coordinated smart home energy sharing[J].IEEE Transactions on Smart Grid,PP(99):1-1.
• [4]Kyriakarakos G,Dounis A I,Arvanitis K G,et al.A fuzzy logic energy management system for polygeneration microgrids[J].Renewable Energy,2012,41(2):315-327.
• [5]Qayyum F A,Naeem M,Khwaja A S,et al.Appliance scheduling optimization in smart home networks[J].Access IEEE,2015(3):1-1.
• [6]杨艳红,裴玮,邓卫,等.计及蓄电池储能寿命影响的微电网日前调度优化[J].电工技术学报,2015,30(22):172-180.Yang Yanhong,Pei Wei,Deng Wei,et al.Day-ahead scheduling optimization for microgrid with battery life model[J].Transactions of China Electrotechnical Society,2015,30(22):172-180(in Chinese).
• [7]Li W,Logenthiran T,Woo W L.Intelligent multi-agent system for smart home energy management[C]//Innovative Smart Grid Technologies-Asia.Washington:IEEE,2015:1-6.
• [8]Lorestani A,Ardehali M M,Gharehpetian G B.Optimal resource planning of smart home energy system under dynamic pricing based on invasive weed optimization algorithm[C]//Smart Grids Conference(SGC).Tehran:IEEE,2016:1-8.
• [9]孟晓丽,牛焕娜,贾东梨,等.基于储能Soc日前计划的微电网实时能量优化调度方法[J].农业工程学报,2016,32(8):155-161.Meng Xiaoli,Niu Huanna,Jia Dongli,et al.Real-time energy optimal dispatch for microgrid based on day-ahead scheduling of charge state[J].Transactions of the Chinese Society of Agricultural Engineering,2016,32(8):155-161(in Chinese).
• [10]石庆均,江全元.包含蓄电池储能的微网实时能量优化调度[J].电力自动化设备,2013,33(5):76-82.Shi Qingjun,Jiang Quanyuan.Real-time optimal energy dispatch for microgrid with battery storage[J].Electric Power Automation Equipment,2013,33(5):76-82(in Chinese).
• [11]Sharma R.Lyapunov theory based stable Markov game fuzzy control for non-linear systems[J].Engineering Applications of Artificial Intelligence,2016(55):119-127.
• [12]Begnini M,Bertol D W,Martins N A.A robust adaptive fuzzy variable structure tracking control for the wheeled mobile robot:Simulation and experimental results[J].Control Engineering Practice,2017(64):27-43.
• [13]Hussu A.Fuzzy control and defuzzification[J].Mechatronics,1995,5(5):513-526.
• [14]Fossati J P,Galarza A,Martín-Villate A,et al.A method for optimal sizing energy storage systems for microgrids[J].Renewable Energy,2015,77(C):539-549.
• [15]Cugnet M,Liaw B Y.Effect of discharge rate on charging a lead-acid battery simulated by mathematical model[J].Journal of Power Sources,2011,196(7):3414-3419.
• [16]An P Q,Murphy M D,Breen M C,et al.Economic optimisation for a building with an integrated micro-grid connected to the national grid[C]//World Congress on Sustainable Technologies.London:IEEE,2015:140-144.