A SENSITIVITY ALGORITHM FOR THE LONG-TERM TRANSMISSION PLANNING FORMULATED WITH TWO-STEP OPTIMIZATION PROCEDURE

1990 ◽  
pp. 467-472
Author(s):  
J.R. Shin ◽  
Y.M. Park ◽  
S.D. Hong
Keyword(s):  
Optimization Procedure ◽  
Transmission Planning

scholarly journals The impact of energy storage on long term transmission planning in the North Sea region

2014 ◽  
Author(s):  
Delaram Azari ◽  
Shahab Shariat Torbaghan ◽  
Madeleine Gibescu ◽  
Mart A. M. M. van der Meijden
Keyword(s):  
Energy Storage ◽  
North Sea ◽  
Transmission Planning ◽  
The North ◽  
The North Sea ◽  
The Impact

scholarly journals Integrated Energy-Water Planning in the Western and Texas Interconnections

2013 ◽  
Author(s):  
Vincent Tidwell ◽  
John Gasper ◽  
Robert Goldstein ◽  
Jordan Macknick ◽  
Gerald Sehlke ◽  
...  
Keyword(s):  
Decision Support ◽  
Water Use ◽  
Support System ◽  
Water Availability ◽  
Water Planning ◽  
Transmission Planning ◽  
Electric Transmission ◽  
Competing Demands ◽  
Western Electricity Coordinating Council

While long-term regional electricity transmission planning has traditionally focused on cost, infrastructure utilization, and reliability, issues concerning the availability of water represent an emerging issue. Thermoelectric expansion must be considered in the context of competing demands from other water use sectors balanced with fresh and non-fresh water supplies subject to climate variability. An integrated Energy-Water Decision Support System (DSS) is being developed that will enable planners in the Western and Texas Interconnections to analyze the potential implications of water availability and cost for long-range transmission planning. The project brings together electric transmission planners (Western Electricity Coordinating Council and Electric Reliability Council of Texas) with western water planners (Western Governors’ Association and the Western States Water Council). This paper lays out the basic framework for this integrated Energy-Water DSS.

scholarly journals Supporting the Nation's Electric Interconnections through Integration of Water into their Long-Term Transmission Planning.

2018 ◽  
Author(s):  
Vincent C. Tidwell ◽  
Jordan Macknick ◽  
Nathalie Voisin ◽  
Jim Kuiper
Keyword(s):  
Transmission Planning

A Computational Technique for Determining the Ground Reaction Forces in Human Bipedal Stance

2003 ◽  
Vol 19 (4) ◽  
pp. 361-371 ◽  
Author(s):  
Musa L. Audu ◽  
Robert F. Kirsch ◽  
Ronald J. Triolo
Keyword(s):  
Center Of Pressure ◽  
Optimization Technique ◽  
Reaction Force ◽  
Kinematic Chain ◽  
Optimization Procedure ◽  
Computational Technique ◽  
Inverse Dynamic ◽  
Open Chain ◽  
Reaction Forces

Our long-term goal is to use a musculoskeletal modeling approach for developing controller algorithms to restore standing balance to individuals with lower extremity paralysis using functional electrical stimulation. This paper describes a technique that facilitates this approach by avoiding the numerical problems associated with modeling the closed kinematic chain formed by the two lower extremities and the ground while standing. Specifically, we propose an optimization technique to estimate the magnitude and origin of the ground reaction force (GRF) vector on one of the feet, resulting in an equivalent open-chain formulation. Using this technique, we performed a series of inverse dynamic computations to determine the GRF and center of pressure (COP) values for five standing postures: neutral, neutral with forward lean, neutral with backward lean, wide, and tandem. The optimization procedure elicited force results that satisfy equilibrium and result in COP locations that are consistent and physically reasonable.

Long-Term Degradation-Based Modeling and Optimization Framework

2018 ◽  
pp. 192-220
Author(s):  
Tarannom Parhizkar
Keyword(s):  
Energy Systems ◽  
Optimization Procedure ◽  
Energy System ◽  
Operating Conditions ◽  
Energy Prices ◽  
Ambient Conditions ◽  
Term Operation ◽  
Optimization Framework ◽  
Degradation Models

Energy systems degrade during long-term operation. Thus, performance profile of the system deteriorates over time. To optimize energy system parameters more reliably and accurately, it is necessary to consider degradation models of the system in the optimization procedure. In this chapter, a novel degradation-based optimization framework is proposed. This framework optimizes design and operation parameters of energy systems while accounting for the degradation effects on system performance. Therefore, this framework is beneficial for long-term analysis and optimization of energy systems. Validity and usefulness of the proposed methodology are demonstrated by optimizing the operating conditions and maintenance intervals of a gas turbine power plant, under different seasonal ambient conditions and energy prices. The case study results effectively meet all the positive expectations that are placed on the proposed degradation-based optimization framework.

scholarly journals CKF-Based Visual Inertial Odometry for Long-Term Trajectory Operations

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Trung Nguyen ◽  
George K. I. Mann ◽  
Andrew Vardy ◽  
Raymond G. Gosine
Keyword(s):  
Low Cost ◽  
Estimation Error ◽  
Optimization Procedure ◽  
Single Measurement ◽  
Cubature Kalman Filter ◽  
Graph Optimization ◽  
Error Accumulation ◽  
Entire Trajectory ◽  
Pose Graph Optimization

The estimation error accumulation in the conventional visual inertial odometry (VIO) generally forbids accurate long-term operations. Some advanced techniques such as global pose graph optimization and loop closure demand relatively high computation and processing time to execute the optimization procedure for the entire trajectory and may not be feasible to be implemented in a low-cost robotic platform. In an attempt to allow the VIO to operate for a longer duration without either using or generating a map, this paper develops iterated cubature Kalman filter for VIO application that performs multiple corrections on a single measurement to optimize the current filter state and covariance during the measurement update. The optimization process is terminated using the maximum likelihood estimate based criteria. For comparison, this paper also develops a second solution to integrate VIO estimation with ranging measurements. The wireless communications between the vehicle and multiple beacons produce the ranging measurements and help to bound the accumulative errors. Experiments utilize publicly available dataset for validation, and a rigorous comparison between the two solutions is presented to determine the application scenario of each solution.

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