Sensitivity analysis of the power grid vulnerability to large-scale cascading failures

2012 ◽  
Vol 40 (3) ◽  
pp. 33-37 ◽  
Author(s):  
Andrey Bernstein ◽  
Daniel Bienstock ◽  
David Hay ◽  
Meric Uzunoglu ◽  
Gil Zussman
Keyword(s):  
Sensitivity Analysis ◽  
Large Scale ◽  
Power Grid ◽  
Cascading Failures

Demonstration of Future Power Grid in Isolated Islands Large-scale Remote Island Micro Grid Demonstration Facilities

2011 ◽  
Vol 131 (11) ◽  
pp. 735-738 ◽  
Author(s):  
Tomonobu SENJYU ◽  
Kazuki OGIMI ◽  
Yoshihisa KINJYO ◽  
Hayato YAMAUCHI
Keyword(s):  
Large Scale ◽  
Power Grid ◽  
Remote Island ◽  
Micro Grid

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.

POWER GRIDS ANALYSIS IN COMPRESSED KRYLOV-SUBSPACE METHODS

2008 ◽  
Vol 17 (03) ◽  
pp. 439-446
Author(s):  
HAOHANG SU ◽  
YIMEN ZHANG ◽  
YUMING ZHANG ◽  
JINCAI MAN
Keyword(s):  
Present Method ◽  
Large Scale ◽  
Krylov Subspace ◽  
Power Grid ◽  
Excellent Result ◽  
Krylov Subspace Methods ◽  
Power Grids ◽  
Improved Method ◽  
Subspace Methods ◽  
Transient Simulations

An improved method is proposed based on compressed and Krylov-subspace iterative approaches to perform efficient static and transient simulations for large-scale power grid circuits. It is implemented with CG and BiCGStab algorithms and an excellent result has been obtained. Extensive experimental results on large-scale power grid circuits show that the present method is over 200 times faster than SPICE3 and around 10–20 times faster than ICCG method in transient simulations. Furthermore, the presented algorithm saves the memory usage over 95% of SPICE3 and 75% of ICCG method, respectively while the accuracy is not compromised.

Evaluating the ancillary services market for large-scale renewable energy integration in China's northeastern power grid

2021 ◽  
Vol 69 ◽  
pp. 101179
Author(s):  
Junfeng Hu ◽  
Qingyou Yan ◽  
Fredrich Kahrl ◽  
Xu Liu ◽  
Peng Wang ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Power Grid ◽  
Ancillary Services ◽  
Energy Integration ◽  
Renewable Energy Integration ◽  
Ancillary Services Market
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