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Wang H.,NARI Group | Xin Y.,China National Electrical Power Dispatching and Communication Center | Shang X.,NARI Group | Yan Y.,China National Electrical Power Dispatching and Communication Center | And 6 more authors.
Dianli Xitong Zidonghua/Automation of Electric Power Systems | Year: 2015

In order to realize the horizontal integration and longitudinal penetration in the smart grid dispatching control system, a new data bus is proposed according to data transmission requirements such as safety and reliability, efficiency and real-time transregional and translevel transmission. Data bus technology is based on the integration and expansion of industrial bus technology, middleware technology, and publish/subscribe strategy in realizing horizontal transregional data transmission while supporting data interaction at all levels of the dispatching center. Data bus technology has been applied to the smart grid dispatching control system in achieving multistage scheduling deployment operation of the state power dispatching control center in East China, North China, and Central China. It is proved in practice that data bus technology is able to satisfy the data transmission needs of smart grid dispatching control systems and ensure safe and stable operation of smart grid dispathing and control systems.

Wang Y.,Tsinghua University | Xia Q.,Tsinghua University | Cheng Y.,China National Electrical Power Dispatching and Communication Center | Chen G.,China National Electrical Power Dispatching and Communication Center | Yu J.,China National Electrical Power Dispatching and Communication Center
International Journal of Power and Energy Systems | Year: 2010

Unit commitment is one of the most important issues in power system operation, and solving this problem with mature optimizing algorithms has been the general trend now. However, too many integers which are needed to be branched are the biggest trouble to obtain the optimal solution in limited time. Different from most of the published papers, which mainly focused on the improvement of a certain optimizing algorithm, a novel notion of optimizing space of unit commitment and its scientific identification method are proposed in this paper from the perspective of model optimization. Based on the analysis on both units and binary variables of each time interval, this method can identify the invalid integer variableswhich need not to be branched, and turn them into continuous variables. Besides, in response to the failure of the traditional formulation of mixed integer linear programming (MILP), a novel one based on the valid optimizing space is proposed. Based on the work in this paper, the optimizing range is narrowed efficiently, and the calculating efficiency is improved greatly, under the premise of guaranteeing feasibility and optimality of original problem. The effectiveness of this method is demonstrated by the theoretical analysis and numerical experiments.

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