Huangpu District, China
Huangpu District, China

Time filter

Source Type

Wang J.,Dalian University of Technology | Shen J.,Dalian University of Technology | Cheng C.,Dalian University of Technology | Lu J.,East China Grid Co. | Li G.,East China Grid Co.
Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | Year: 2014

In short-term operation of thermal power plants, the conventional methods can not meet requirements of complex time coupling constraints and deep load adjustment. To solve this problem, this paper presented a load shedding method for thermal power plants to do peak regulation based on load reconstruction strategy. Load reconstruction strategy consists of three parts: load tendency simulation, load zoom by equal proportion and load modification by ramp rate. A new load curve, which will be later adopted by load shedding method, is got by load reconstruction strategy depending on time coupling constraints. Moreover, to satisfy other operation constraints, dynamic adjusting strategy for the generation schedules was also embedded in load shedding method. The proposed method has been implemented to the optimal operation of thermal system directly operated by East China Grid and feasible operation scheduling of generation units can be obtained. Compared to conventional methods, the proposed method can achieve better peak regulation effects and is effective and successful in dealing with complex constraints and load adjustment demands. © 2014 Chinese Society for Electrical Engineering.

Zhang Q.,Zhejiang University | Gang S.,East China Grid Ltd. | Li P.,Guangdong Electrical Power Group Corporation
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 | Year: 2010

Together with the advantages of intelligent technologies, Smart Grid (SG) has become a topical research area in recent years. Considering the abundant and complex technologies it contains, the development of SG should be divided into several stages, and a well designed development strategy is required to improve the transition from current power grid to newly SG step by step. Facing outstanding challenges and problems, city power grid (city grid) resorts to intelligent technologies and management much more eagerly. A brief overview of current city grid is provided in this paper. A new concept of Smart City Grid (SCG) is proposed, and then, its advantages and the significant relationships between SG and SCG are described. According to the important role that SCG plays in SG, a bottom-up development strategy, aiming to simplify the development of future SG, is illustrated in detail, whose start is SCG. Depend on a standardized communication network, robust electrical connection, coordinated control and integrated management, the intelligent region could be expanded from a smart city grid to a nation-wide unified smart grid within this strategy. ©2010 IEEE.

Chang L.,NARI Group | Liu Y.,East China Grid Corporation | Wan S.,NARI Group
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2014

The large-scale dispatching plan is a co-operation scheduling method based on data sharing in multi-level dispatching systems. Massive amounts of data need to be immediately shared among multi-level systems. The East China large-scale dispatching plan process built on a smart grid operation support system (SG-OSS) achieves multi-level system data exchange by the SG-OSS unified support platform service bus. The service bus, system architecture, realization of functional modules and data exchange process are elaborated. This data exchange system has been successfully applied to the large-scale dispatching plan system for East China pilot project. © 2014 State Grid Electric Power Research Institute Press.

Feng D.,Shanghai JiaoTong University | Hu Z.,East China Grid Corporation | Gan D.,Zhejiang University | Yan Z.,Shanghai JiaoTong University | Bao X.,Hangzhou Electric Power
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2011

Against the background of rapid and healthy development of national economy, ensuring sufficient generation capacity is of particular importance for the East China power network with fast increasing load demand. So far shortage and excess calculated in years still alternate cyclically. The problem of encouraging generation investment and fulfilling short-term and long-term resource adequacy has secured worldwide attention. Different markets have devised diametrically different solutions. The capacity adequacy solutions across the world are investigated and summarized into four categories. Based on an analysis of and comparison between the four categories, the roadmap for the development of the East China capacity market is proposed. Important suggestions are also given for the next round deregulation of the East China power industry. © 2011 State Grid Electric Power Research Institute Press.

Wang X.Z.,East China Grid Co. | Zhou J.,East China Grid Co. | Huang Z.L.,East China Grid Co. | Bi X.L.,East China Grid Co. | And 2 more authors.
Proceedings of 2016 IEEE International Conference on Big Data Analysis, ICBDA 2016 | Year: 2016

The general focus of this study is to design a multilevel deep learning model that provides big data analytics and emergency management knowledge. A big data covariance analysis approach has been used to find multilevel representations of data based on prior knowledge from large scale power systems. For purpose of meeting requirements of incremental knowledge discovery, an adaptive regression algorithm is presented. Given the multilevel operating status and development trend of power system, the emergency management techniques are then proposed to produce intelligent decision making support. In this paper, a multilevel clustered hidden Markov model based global optimization approach is considered for power system emergency management problem, which is an extension of the conventional optimal power flow problem. The objective is defined to generate operation mode that minimizes multilevel cost while satisfying different constraints. To demonstrate the effectiveness of the presented approach, this paper carefully compared the discriminatory power of knowledge discovery models that utilize deep learning with dimensionality reduction based method and machine learning without dimensionality reduction based method. The experimental results showed that the proposed multilevel deep learning approach consistently outperformed the traditional machine learning method. The emergency management of large scale power system may also benefit from the modified hidden Markov model and global optimization. © 2016 IEEE.

Ting X.,Zhejiang University | Jiang D.,Zhejiang University | Jie G.,Zhejiang University | Gang S.,East China Grid Ltd. | Qian Z.,Zhejiang University
2010 International Conference on Power System Technology: Technological Innovations Making Power Grid Smarter, POWERCON2010 | Year: 2010

A novel controllable rectifier type SVC's topology has been proposed comparing with the traditional SVc. What's more, the novel SVC can be also easily configured as a de-icing device by changing the position of internal switch. Compared with the traditional TCR type SVC this controllable rectifier type SVC features simple switch operation between de-icing mode and SVC mode. The preliminary feasible analyzing and simulation have been completed. The prototype has also successfully finished the operation experiments of Starting, De-icing mode operation and SVC mode operation respectively and the switch between the two modes. Now, the prototype has been put into trial-operation in one of the utility's hub-substation. While this paper investigates the controllable rectifier type SVC's impact on the transient stability of power systems. The software of PSD-BPA is employed to perform the analyzing of the transient stability features. Firstly, the mentioned new type SVC is modeled according to the existing STATCOM model by equivalent transformations. Then the simulations are performed based on the failure modes including single-phase, two-phase ground and three-phase short circuit. The simulation results show that the controllable rectifier type SVC does have the function to support the local substation transient voltage and this voltage support function is significantly enhance when the system is weakened or the capacity of the new type SVC is increased. A nd it also has the function to damp the power oscillation and power angle swing. Therefore, the performance of the controllable rectifier type SVC and de-icing device is proven satisfactory. ©2010 IEEE.

Loading East China Grid Co. collaborators
Loading East China Grid Co. collaborators