AGORA vs. Traditional Methodologies
SIMULATION: Load Flow
The traditional method for solving load flow problems involves a second order iterative algorithm (Newton-Raphson) which uses an approximate updating of the Hessian matrix (fast decoupled:FDNR) to speed calculation.
This method is efficient if the initial solution is sufficiently close to the correct solution. However, if the initial solution strays too far, convergence cannot be assured. In many cases expert human intervention is required to effectively solve this problem. This is unacceptable in an automated system.
AGORA's approach is radically different. Its methodology:
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Is non-iterative
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Does not require an initial solution
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Finds solutions even when close to voltage collapse
AGORA's proprietary mathematical algorithms guarantee accurate and correct solutions. AGORA's method, derived from theoretical physics, is very time efficient, robust and out-performs FDNR.
OBSERVATION: State Estimator
Estimating electrical states using field measurements presents convergence problems for traditional Newton-Raphson algorithms. AGORA, on the other hand, employs a state estimation algorithm that calculates the correct solution nearly 100% of the time.
AGORA works even when reliable data is absent from large regions of the network by reconstructing missing values in a plausible and coherent manner. The AGORA algorithm works directly with the entire network, without requiring multiple step estimation procedures.
AGORA's efficiency, speed and accuracy in reaching the correct physical solution comes from its real-time interaction with the load flow algorithm, allowing AGORA to estimate the state of large networks every few seconds, successfully finding the optimal physical solution nearly 100% of the time.
RESTORATION: State Space
AGORA's restoration methodology is based on electrical system modeling that represents each coherent electrical state as an element. Transformation from one state to another is achieved through an operator action and a load flow calculation to guarantee accurate discernment of the grid's electrical state. AGORA's restoration plans present the optimal path to restoration within this state space. Finding the optimal path requires an appropriate navigation heuristic from an initial state (disturbed situation) to a goal state (predisturbance state of the network). AGORA's restoration algorithm is efficient and convergent since it uses a proprietary complex heuristic and is capable of simultaneously calculating thousands of load flows.