作者机构：
[苏康博; 廖圣桃; 杨洪明] School of Electrical and Information Engineering, Changsha University of Science and Technology, Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distribution Network, Changsha, 410114, China;[余千] School of Economics and Management, Changsha University of Science and Technology, Changsha, 410114, China
通讯机构：
[Yang, H.] S;School of Electrical and Information Engineering, Changsha University of Science and Technology, Hunan Provincial Engineering Research Center of Electric Transportation and Smart Distribution Network, Changsha, China
关键词：
Regulation;Resource management;Load modeling;Wind;Wind power generation;Hydroelectric power generation;Fluctuations;Bi-level capacity allocation;hydropower;dynamic regulation;energy intensive controllable load;renewable energy;source-load tracking
摘要：
With the increasing penetration of renewable energy, it becomes challenging to smoothen highly fluctuant and intermittent power output only through the conventional thermal units. In this paper, by exploiting the dynamic regulating ability of hydropower and energy intensive controllable load to reduce the power output uncertainties, an optimal wind-solar capacity allocation method is proposed. The power regulation characteristics of hydropower stations based on hydraulic head and energy intensive controllable load based on complex production process are modelled. A bi-level (including planning and operation layers) optimization model for wind-solar capacity allocation is proposed, which is subject to the system dynamic regulation constraints. In the planning layer, a cost function model is constructed to minimize the investment and operational cost of the hybrid system with wind-solar, hydropower and energy intensive load. In the operation layer, a coordinated optimal dispatching scheme is proposed to minimize the dynamic source-load tracking coefficient. Finally, case studies on Hunan province China are carried out through four scenarios of various combinations of energy intensive controllable load, system regulation ability and source-load tracking coefficient. The results show the proposed method that taken all of these into account provides better performance in adapting to the power fluctuations, which improves the capacity allocation accuracy of renewable energy and decreases their curtailed amount.
作者机构：
[Li, Yujun; Song, Guobing] Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China.;[Li, Yujun; Xiong, Liansong; Xu, Zhao] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China.;[Xiong, Liansong] Nanjing Inst Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China.;[Qi, Donglian; Zhang, Jianliang] Zhejiang Univ, Sch Elect Engn, Hangzhou, Zhejiang, Peoples R China.;[Yang, Hongming] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Hunan, Peoples R China.
通讯机构：
[Li, Yujun] X;Xi An Jiao Tong Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China.
关键词：
Power system dispatch;Wind generator (WG);Kinetic energy (KE);Photovoltaic (PV);Power sharing control (PSC)
摘要：
Traditionally, wind power and solar photovoltaic (PV) power generation is non-dispatchable and their normal operation relies on Maximum Power Point Tracking (MPPT) control. Therefore, it can be of highly disturbance to the system dispatch in particularly context of microgrids. To effectively fulfill dispatch command or market schedule, a novel cascading power sharing control (PSC) scheme is proposed to coordinate wind and solar PV power productions in microgrids while reducing the loss of renewable energy production involved. Considering different properties of wind and solar PV power generation systems, the discrepancies between dispatch command (market schedule) and actual renewable generation is firstly counterbalanced by adjusting wind power output via temperately storing or releasing kinetic energy of turbine rotors. Only when rotors of wind generator reach their limitations, should solar PVs begin to reduce their generation. The proposed PSC scheme is fully simulated in a microgrid with wind and solar PV, and the simulation results clearly indicate it can be more energy efficient than the traditional dispatch method while fulfilling the dispatch demand. (C) 2018 Elsevier Ltd. All rights reserved.
作者：
Zhang, Yongxi;Xu, Yan*;Yang, Hongming;Dong, Zhao Yang
期刊：
International Journal of Electrical Power & Energy Systems,2019年105:79-88 ISSN：0142-0615
通讯作者：
Xu, Yan
作者机构：
[Xu, Yan; Zhang, Yongxi; Yang, Hongming] Changsha Univ Sci & Technol, Energy Internet Driven Big Data Natl Base Int Sci, Sch Elect Engn & Informat, Changsha 410114, Hunan, Peoples R China.;[Dong, Zhao Yang] Univ New South Wales, Sch Elect & Engn & Telecommun, Sydney, NSW 2052, Australia.
通讯机构：
[Xu, Yan] C;Changsha Univ Sci & Technol, Energy Internet Driven Big Data Natl Base Int Sci, Sch Elect Engn & Informat, Changsha 410114, Hunan, Peoples R China.
关键词：
Active distribution network;Battery energy storage;Collaborative planning;Conservation voltage reduction;Distributed generation;Taguchi's orthogonal array testing
作者机构：
[常巩; 杨洪明; 邓友均; 赖明勇] Hunan Prov. Engineering Research Center of Electric Transportation and Smart Distribution Network, School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha, 410114, China;[文福拴] School of Electrical Engineering, Zhejiang University, Hangzhou, 310027, China
关键词：
电动汽车(EV);充换电站(BCSS);物流配送;电能补给方式
摘要：
考虑充换电站(battery charging and swapping station,BCSS)同时提供充、换电2种电能补给方式的运营模式,相比仅在充电站或换电站模式下,电动汽车(electric vehicle,EV)参与物流配送的电能补给方式规划可能获得更低的物流配送成本。在满足EV配送途中的行驶约束和回到配送中心的慢速充放电约束的前提下,以EV配送路径、充换电模式选择以及慢速充放电策略为决策变量,以EV参与物流配送的快速充电成本、换电成本、车辆损耗成本和慢速充放电成本之和最小为优化目标,构建了确定EV在BCSS模式下的电能补给方式的最优规划模型。最后,以33节点的物流配送系统为例进行数值仿真,分析了电动汽车在配送途中的电能补给方式对运输成本和慢速充放电成本的影响,以及电动汽车回到配送中心的慢速充放电策略对物流配送总成本的影响。
通讯机构：
[Zhao, Junhua] C;Chinese Univ Hong Kong, Shenzhen 518172, Guangdong, Peoples R China.
关键词：
Coupled microgrid;Coordinated system planning;Controllable load;Natural gas systems
摘要：
This paper presents the planning of solar photovoltaics (PV), battery energy storage system (BESS) and gas-fired micro turbine (MT) in a coupled micro gas and electricity grid. The proposed model is formulated as a two-stage stochastic optimization problem, including the optimal investment in the first stage and the optimal operation in the second stage. To better understand the mutual interactions between electric and heat energy, the gas network models are taken into account. As a result, the fuel availability and price of the gas-fired MT can be explicitly modeled and analyzed. Moreover, to enhance the computational efficiency of the formulated mixed-integer quadratic programming problem, the point estimation method is used as the scenario reduction technique. The effectiveness of the proposed model is verified on a 14-bus coupled micro energy grid. Based on the case studies, the proposed two-stage planning model can identify a planning solution with the objective value of $99.3104, which is comprised of the daily capital recovery cost of $20.5070, the daily operating cost of $78.8034 for the coupled micro gas and electricity grid. Comparative studies demonstrate that the proposed approach can help the microgrid operator identify feasible and optimal planning solutions, and provide valuable guidance for energy infrastructure expansion from an integrated perspective.
作者机构：
[李田; 苏盛; 杨洪明] Hunan Province Key Laboratory of Smart Grids Operation and Control (Changsha University of Science and Technology), Changsha;410004, China;[文福拴] College of Electrical Engineering, Zhejiang University, Hangzhou;310027, China;Department of Electrical and Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan
通讯机构：
[Su, S.] H;Hunan Province Key Laboratory of Smart Grids Operation and Control (Changsha University of Science and Technology), Changsha, China
