OPTIMIZING THE USAGE SCHEDULE FOR AIR CONDITIONING LOAD BASED ON LOAD AGGREGATOR
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Received: 19/04/20                Revised: 19/05/20                Published: 21/05/20Abstract
This paper constructs the model to optimize the usage schedule air conditioning load (ACL) based on load aggregator (LA). The LA model takes into account cost compensation (demand-compensation) strategies, temperature factors, and wind power probabilities. The model's objective function is the maximum total revenue of LA, considering the constraints on temperature; wind power fluctuations, system capacity limits and cost constraints (load aggregator revenue). The simulation results show that the proposed optimal model brings economic benefits and significantly improves the load characteristic in the system.
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[1]. S. Yinbiao, Z. Zhigang, and G. Jianbo, “Study on Key Factors and Solution of Renewable Energy Accomm- odation,” Proceedings of the CSEE, 2017, vol. 37, no. 01, pp. 1-9.
[2]. C. Xu, Y. Yuyao, and Z. Yongjun, “Influence of Illumination Probability of Photovoltaic System on Voltage of Power Distribution Networks,” Journal of South China University of Technology (Natural Science Edition), vol. 2015, no. 4, pp. 112-118, 2015.
[3]. C. Haoyu, H. Shunjie, F. Zhihua, “Demand Response of Multi-Microgrid Based on Game Theory,” Southern Power System Technology, vol. 11, no. 2, pp. 34-40, 2017.
[4]. Z. Kaiyu, S. Yiqun, and Y. Zheng, “Energy Storage Capacity Optimization for Load Aggregators Considering Probablity of Demand Response Resources’s Breach,” Automation of Electric Power Systems, vol. 39, no. 17, pp. 127-133, 2015.
[5]. A. H. Mohsenian-Rad,V. W. S. Wong,and J. Jatskevich,“Autonomous demand-side management based on game- theoretic energy consumption scheduling for the future smart grid,” IEEE Transactions on Smart Grid,vol. 1, no. 3, pp. 320- 331, 2010.
[6]. W. Qianggang, L. Chao, and L. Yong, “A Reactive Power Optimization Model of High Voltage Distribution Network Considering DLC Cycle Control of Air- conditioning Loads,” Proceedings of the CSEE, 2018, vol. 38, no. 06, pp. 1684-1694.
[7]. G. Ciwei, L. Qianyu, and L. Yang, “Bi-level Optimal Dispatch and Control Strategy for Air-conditioning Load Based on Direct Load Control,” Proceedings of the CSEE, 2014, vol. 34, vol. 10, pp. 1546-1555.
[8]. G. Ciwei, Z. Liangjie, and Y. Xiaomei, “Research on Load Aggregation of Central Air Conditioning and Its Participation in the Operation of Power System,” Proceedings of the CSEE, 2017, vol. 37, no. 11, pp. 3184-3191+ 3373.
[9]. Z. Zhidan, H. Xiaoqing, and C. Yijia, “Research on Active Response Policy for Grid Friendly Air Conditioning Load,” Proceedings of the CSEE, 2014 vol. 34, no. 25, pp. 4207-4218.
[10]. Z. Yanyu, Z. Peng, and L. Zhongwen, “A Multi-Objective Optimal Control Algorithm for Air Conditioning System in Smart Grid,” Power System Technology, vol. 38, no. 7, pp. 1819-1826, 2014.
[11]. L. Zhou, Y. Zhang, and X. Lin, “Optimal sizing of PV and BESS for a smart household considering different price mechanisms,” IEEE Access, vol. 2018, pp(99). 1-1, 2018.
[12]. T. C. Chiu, Y. Y. Shih, and A. C. Pang, “Optimized Day-Ahead Pricing With Renewable Energy Demand-Side Management for Smart Grids,” IEEE Internet of Things Journal, vol. 4, no. 2, pp. 374-383, 2017.
[13]. M. Li, L. Nian, and Z. Jianhua, “Optimal Operation Model of User Group With Photovoltaic in the Mode of Automatic Demand Response,” Proceedings of the CSEE, 2016 vol. 36, no. 13, pp. 3422-3432 +3361.
[14]. L. Dongdong, X. Lianlian, and L. Xiang, “Optimal dispatching of microgrid considering the participation of reducible loads,distributed generators (DG) and energy storage units,” Power System Protection and Control, vol. 45, no. 2, pp. 35-41, 2017.
[15]. C. Defu, C. Jinfu, and S. Dongyuan, “Impact of Wind Speed Correlation on Operation Characteristics of Distribution Network,” Power System Technology, vol. 37, no. 01, pp. 150-155, 2013.
[16]. W. Yilan, T. Yibin, and H. Mei, “Research on Virtual Energy Storage Model of Air Conditioning Loads Based on Demand Response,” Power System Technology, vol. 41, no. 02, pp. 394-401, 2017.
[17]. H. M. Soliman, and A. Leon-Garcia, “Game-Theoretic Demand-Side Management With Storage Devices for the Future Smart Grid,” IEEE Transactions on Smart Grid, vol. 5, no. 3, pp. 1475-1485, 2014.
[18]. L. Xiaofeng, G. Bingtuan, and L. Jing, “Non- cooperative Game Based Hierarchical Dispatch Model of Residential Loads,” Automation of Electric Power Systems, 2017, vol. 41, no. 14, pp. 54-60, 2017.
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