Computing Mode Study of Large-Scale Power Grid Online Analysis Software Based on Cloud Computing Technology

2013 ◽  
Vol 427-429 ◽  
pp. 2696-2700
Author(s):  
Jing Li ◽  
Ya Di Luo ◽  
Jie Xu ◽  
Yu Pei Jia
Keyword(s):  
Parallel Computing ◽  
Resource Management ◽  
Large Scale ◽  
Power Grid ◽  
Model Management ◽  
Analysis Software ◽  
Online Analysis ◽  
Job Management ◽  
Computing Services ◽  
Management Services

This paper construct a large-scale power grid online analysis architecture based on "'Dispatch Cloud' architecture and combined with the power system characteristics and large grid dispatch system online analysis software features, it propose power grid online analysis software wide-area multi-level distributed parallel computing mode based on Dispatch Cloud Platform which is service oriented architecture (SOA). In this mode the coordination manage needed is achieved in the way of service encapsulation based SOA, including, data and model management services, computing resource management services, the job management and parallel computing services, In this mode the coordination manage needed is achieved in the way of service encapsulation based on SOA, including, data and model management services, computing resource management services, the job management and parallel computing services. which will provide theoretical and technical support to the large-scale power grid Online analysis software design and development Using Cloud technology.

Pattern Recognition Based on Integrative Vulnerability Mode for Elcctric Power Grid

2013 ◽  
Vol 291-294 ◽  
pp. 2212-2216
Author(s):  
Meng Zhang ◽  
Liang HUA Zheng ◽  
Tao Lin ◽  
Hua Long Wang ◽  
Fei Fang
Keyword(s):  
Pattern Recognition ◽  
Electric Power ◽  
Large Scale ◽  
Power Grid ◽  
Online Analysis ◽  
Electric Network ◽  
Fast Speed ◽  
Electric Power Grid ◽  
Operation Characteristic

In recent years, with the happening of large-scale power cut accidents, the electric network has been concerned widely increasingly. Pattern recognition which could be used in online analysis, can get rid of the mode limit of the operation characteristic of description system, and its counting volume is less influenced by system scale, also its general assessment is in a fast speed. In this text, it elaborates the conception of the power grid vulnerability and some kinds of available ways of assessing vulnerability, and it also tells us the target of electric network’s integrative vulnerability based on integrative vulnerability mode for electric power grid, and used in pattern recognition, which its the sensibility and necessity of pattern recognition has been verified by the IEEE-39 system.

Thermal-Scalable 3D Parallel-Heat-Sinking Integration Methodology: Key SoC Technology for Large-Scale Parallel Computing

2011 ◽  
Vol 34 (4) ◽  
pp. 717-728
Author(s):  
Zu-Ying LUO ◽  
Yin-He HAN ◽  
Guo-Xing ZHAO ◽  
Xian-Chuan YU ◽  
Ming-Quan ZHOU
Keyword(s):  
Parallel Computing ◽  
Large Scale ◽  
Heat Sinking

Bilateral bidding strategy in joint day-ahead energy and reserve electricity markets considering techno-economic-environmental measures

2021 ◽  
pp. 0958305X2110148
Author(s):  
Mojtaba Shivaie ◽  
Mohammad Kiani-Moghaddam ◽  
Philip D Weinsier
Keyword(s):  
Electricity Market ◽  
Large Scale ◽  
Search Algorithm ◽  
Power Grid ◽  
Mathematical Formulation ◽  
Test System ◽  
Bidding Strategy ◽  
Level Problem ◽  
Optimal Bidding ◽  
Environmental Measures

In this study, a new bilateral equilibrium model was developed for the optimal bidding strategy of both price-taker generation companies (GenCos) and distribution companies (DisCos) that participate in a joint day-ahead energy and reserve electricity market. This model, from a new perspective, simultaneously takes into account such techno-economic-environmental measures as market power, security constraints, and environmental and loss considerations. The mathematical formulation of this new model, therefore, falls into a nonlinear, two-level optimization problem. The upper-level problem maximizes the quadratic profit functions of the GenCos and DisCos under incomplete information and passes the obtained optimal bidding strategies to the lower-level problem that clears a joint day-ahead energy and reserve electricity market. A locational marginal pricing mechanism was also considered for settling the electricity market. To solve this newly developed model, a competent multi-computational-stage, multi-dimensional, multiple-homogeneous enhanced melody search algorithm (MMM-EMSA), referred to as a symphony orchestra search algorithm (SOSA), was employed. Case studies using the IEEE 118-bus test system—a part of the American electrical power grid in the Midwestern U.S.—are provided in this paper in order to illustrate the effectiveness and capability of the model on a large-scale power grid. According to the simulation results, several conclusions can be drawn when comparing the unilateral bidding strategy: the competition among GenCos and DisCos facilitates; the improved performance of the electricity market; mitigation of the polluting atmospheric emission levels; and, the increase in total profits of the GenCos and DisCos.

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