Duration Curve Approach for Managing Uncertainty of Renewable Generation While Dispatching a Mixed Generation Portfolio

2005 ◽  
Vol 2 (2) ◽  
Author(s):  
Narad Muni Bhandari ◽  
Stuart Galloway ◽  
Graeme Burt ◽  
Jim McDonald
Keyword(s):  
Fossil Fuel ◽  
Control Problems ◽  
System Planning ◽  
Solution Approach ◽  
System Generation ◽  
Cost Minimisation ◽  
Combined Operation ◽  
Solution Methods ◽  
And Control ◽  
Mixed Generation

Many analytical solution methods are incapable of dealing with modern power system planning, operation and control problems due to various uncertainties involved in the system. Generation output from most of renewable energy (RE) sources is uncertain which varies with time. Therefore, appropriate solution methods need to be considered in light of the uncertainty of RE generation. In this paper, a generation duration curve approach has been presented in order to handle the uncertainty of RE generation output while solving a combined dispatch problem of fossil fuel (FF) units and RE sources. A cost minimisation scheduling problem of FF units along with forecasted quantities of RE sources is formulated and solved considering the probability of meeting or exceeding anticipated shortfalls of RE outputs. Due to the complexity of the problem a genetic algorithm (GA) based solution approach is considered for solving the problem. A test problem with five FF units and three RE sources is formulated and solved under various considerations. It is demonstrated that the combined operation of FF units with RE sources gives better results, which can also manage uncertainty associated with RE generation outputs.

Parameter Normalization in Multibody Dynamics

2008 ◽  
Author(s):  
Saeed Ebrahimi ◽  
Jo´zsef Ko¨vecses
Keyword(s):  
Parameter Estimation ◽  
Multibody Dynamics ◽  
Eigenvalue Problems ◽  
Physical Structure ◽  
Control Problems ◽  
Inertial Parameters ◽  
Parametric Studies ◽  
Novel Concept ◽  
And Control

In this paper, we introduce a novel concept for parametric studies in multibody dynamics. This is based on a technique that makes it possible to perform a natural normalization of the dynamics in terms of inertial parameters. This normalization technique rises out from the underlying physical structure of the system, which is mathematically expressed in the form of eigenvalue problems. It leads to the introduction of the concept of dimensionless inertial parameters. This, in turn, makes the decomposition of the array of parameters possible for studying design and control problems where parameter estimation and sensitivity is of importance.

The Problem of Energy

2014 ◽  
Vol 31 (5) ◽  
pp. 3-20 ◽  
Author(s):  
John Urry
Keyword(s):  
Social Theory ◽  
21St Century ◽  
Fossil Fuel ◽  
Energy Systems ◽  
Social Thought ◽  
Human Intervention ◽  
The West ◽  
The Past ◽  
And Control ◽  
Global Growth

Energy forms and their extensive scale are remarkably significant for the ways that societies are organized. This article shows the importance of how societies are ‘energized’ and especially the global growth of ‘fossil fuel societies’. Much social thought remains oblivious to the energy revolution realized over the past two to three centuries which set the ‘West’ onto a distinct trajectory. Energy is troubling for social thought because different energy systems with their ‘lock-ins’ are not subject to simple human intervention and control. Analyses are provided here of different fossil fuel societies, of coal and oil, with the latter enabling the liquid, mobilized 20th century. Consideration is paid to the possibilities of reducing fossil fuel dependence but it is shown how unlikely such a ‘powering down’ will be. The author demonstrates how energy is a massive problem for social theory and for 21st-century societies. Developing post-carbon theory and especially practice is far away but is especially urgent.

On Measures of Coupling Between the Artifact and Controller Optimal Design Problems

2009 ◽  
Author(s):  
Diane L. Peters ◽  
Panos Y. Papalambros ◽  
A. Galip Ulsoy
Keyword(s):  
System Optimization ◽  
Optimization Method ◽  
Ease Of Use ◽  
Control Problems ◽  
Design Problems ◽  
Sensitivity Equations ◽  
Smart Products ◽  
Two Measures ◽  
And Control ◽  
Artifact Design

Optimization of smart products requires optimizing both the artifact design and its controller. The presence of coupling between the design and control problems is an important consideration in choosing the system optimization method. Several measures of coupling have been proposed based on different viewpoints of the system. In this paper, two measures of coupling, a vector based on optimality conditions and a matrix derived from an extension of the global sensitivity equations, are shown to be related under certain conditions and to be consistent in their coupling determination. The measures’ physical interpretation and relative ease of use are discussed using the example of a positioning gantry. A further relation is derived between one measure and a modified sequential formulation that would give results sufficiently close to the true solutions.

scholarly journals EcoRacer: Game-Based Optimal Electric Vehicle Design and Driver Control Using Human Players

2016 ◽  
Vol 138 (6) ◽  
Author(s):  
Yi Ren ◽  
Alparslan Emrah Bayrak ◽  
Panos Y. Papalambros
Keyword(s):  
Optimization Problem ◽  
Solution Space ◽  
Efficient Global Optimization ◽  
Vehicle Design ◽  
Control Problems ◽  
Short Term ◽  
Algorithm Efficiency ◽  
Np Complete ◽  
And Control

We compare the performance of human players against that of the efficient global optimization (EGO) algorithm for an NP-complete powertrain design and control problem. Specifically, we cast this optimization problem as an online competition and received 2391 game plays by 124 anonymous players during the first month from launch. We found that while only a small portion of human players can outperform the algorithm in the long term, players tend to formulate good heuristics early on that can be used to constrain the solution space. Such constraining of the search enhances algorithm efficiency, even for different game settings. These findings indicate that human-assisted computational searches are promising in solving comprehensible yet computationally hard optimal design and control problems, when human players can outperform the algorithm in a short term.

scholarly journals An evaluation of three DoE-guided meta-heuristic-based solution methods for a three-echelon sustainable distribution network

2020 ◽  
Vol 296 (1-2) ◽  
pp. 421-469
Author(s):  
Sahar Validi ◽  
Arijit Bhattacharya ◽  
P. J. Byrne
Keyword(s):  
Distribution Network ◽  
Np Hard ◽  
Nsga Ii ◽  
Solution Approach ◽  
Logistics Network ◽  
Location Routing ◽  
Solution Methods ◽  
Order Preference ◽  
Operational Constraints ◽  
Transportation Routes

AbstractThis article evaluates the efficiency of three meta-heuristic optimiser (viz. MOGA-II, MOPSO and NSGA-II)-based solution methods for designing a sustainable three-echelon distribution network. The distribution network employs a bi-objective location-routing model. Due to the mathematically NP-hard nature of the model a multi-disciplinary optimisation commercial platform, modeFRONTIER®, is adopted to utilise the solution methods. The proposed Design of Experiment (DoE)-guided solution methods are of two phased that solve the NP-hard model to attain minimal total costs and total CO2 emission from transportation. Convergence of the optimisers are tested and compared. Ranking of the realistic results are examined using Pareto frontiers and the Technique for Order Preference by Similarity to Ideal Solution approach, followed by determination of the optimal transportation routes. A case of an Irish dairy processing industry’s three-echelon logistics network is considered to validate the solution methods. The results obtained through the proposed methods provide information on open/closed distribution centres (DCs), vehicle routing patterns connecting plants to DCs, open DCs to retailers and retailers to retailers, and number of trucks required in each route to transport the products. It is found that the DoE-guided NSGA-II optimiser based solution is more efficient when compared with the DoE-guided MOGA-II and MOPSO optimiser based solution methods in solving the bi-objective NP-hard three-echelon sustainable model. This efficient solution method enable managers to structure the physical distribution network on the demand side of a logistics network, minimising total cost and total CO2 emission from transportation while satisfying all operational constraints.

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