RBF Networks for Power System Topology Verification

2011 ◽  
pp. 1356-1362 ◽  
Author(s):  
Robert Lukomski ◽  
Kazimierz Wilkosz
Keyword(s):  
Power System ◽  
State Estimation ◽  
Necessary Condition ◽  
Monitoring And Control ◽  
Control Centre ◽  
Convergence Problems ◽  
Topology Model ◽  
And Control ◽  
National Control ◽  
System Topology

A necessary condition for monitoring and control of a Power System (PS) is possessing a credible model of this system. The PS model for a need of dispatchers in national control centre is created in real time. An important element of such a model is a topology model. PS Topology Verification (PSTV) is an important problem in PS engineering. Often this problem is solved together with PS state estimation (Lukomski, & Wilkosz, 2000; Mai, Lefebvre, & Xuan, 2003). Methods, that enable such a solution of the problem, are sophisticated and usually time consuming. They require successful state estimation performance but convergence problems may occur in the case of certain Topology Errors (TEs). Thus, a robust method for PSTV before a state estimation is desired.

Observer Design for State Estimation of UV Curing Processes

2014 ◽  
Author(s):  
Adamu Yebi ◽  
Beshah Ayalew ◽  
Satadru Dey
Keyword(s):  
State Estimation ◽  
Online Monitoring ◽  
Uv Curing ◽  
Observer Design ◽  
Nonlinear Observer ◽  
Advanced Manufacturing ◽  
Monitoring And Control ◽  
State Observers ◽  
State Measurement ◽  
And Control

This article discusses the challenges of non-intrusive state measurement for the purposes of online monitoring and control of Ultraviolet (UV) curing processes. It then proposes a two-step observer design scheme involving the estimation of distributed temperature from boundary sensing cascaded with nonlinear cure state observers. For the temperature observer, backstepping techniques are applied to derive the observer partial differential equations along with the gain kernels. For subsequent cure state estimation, a nonlinear observer is derived along with analysis of its convergence characteristics. While illustrative simulation results are included for a composite laminate curing application, it is apparent that the approach can also be adopted for other UV processing applications in advanced manufacturing.

Stand-Alone Power System for Monitoring and Control of the Temperature

2013 ◽  
Vol 291-294 ◽  
pp. 2570-2573
Author(s):  
Florin Dragomir ◽  
Otilia Elena Dragomir ◽  
Adrian Oprea
Keyword(s):  
Power System ◽  
Power Supply ◽  
Temperature Regulation ◽  
Green Energy ◽  
Financial Impact ◽  
Monitoring And Control ◽  
Honey Production ◽  
Increase Productivity ◽  
Alternative Sources ◽  
And Control

The main objective of the article is to stimulate interest of the consumers for the green energy considering the environmental and the financial impact (in this case by increasing productivity) of this one. For these arguments, this article proposes a real application, with autonomy in the power supply, for control the temperature in the hive using energy from alternative sources (through a solar panel). The temperature regulation is controlled by a microcontroller. For setting the temperature of the hive some bees are used at the expense of honey production. If there would be no need to adjust the temperature of the hive bees when the hive would increase productivity (worker bees population and honey production).

scholarly journals Sensitive Constrained Optimal PMU Allocation with Complete Observability for State Estimation Solution

2017 ◽  
Vol 7 (6) ◽  
pp. 2240-2250
Author(s):  
R. Manam ◽  
S. R. Rayapudi
Keyword(s):  
Linear Programming ◽  
Power System ◽  
State Estimation ◽  
Optimal Allocation ◽  
Estimation Methods ◽  
Programming Approach ◽  
Measurement Units ◽  
The Mean ◽  
Protection And Control ◽  
And Control

In this paper, a sensitive constrained integer linear programming approach is formulated for the optimal allocation of Phasor Measurement Units (PMUs) in a power system network to obtain state estimation. In this approach, sensitive buses along with zero injection buses (ZIB) are considered for optimal allocation of PMUs in the network to generate state estimation solutions. Sensitive buses are evolved from the mean of bus voltages subjected to increase of load consistently up to 50%. Sensitive buses are ranked in order to place PMUs. Sensitive constrained optimal PMU allocation in case of single line and no line contingency are considered in observability analysis to ensure protection and control of power system from abnormal conditions. Modeling of ZIB constraints is included to minimize the number of PMU network allocations. This paper presents optimal allocation of PMU at sensitive buses with zero injection modeling, considering cost criteria and redundancy to increase the accuracy of state estimation solution without losing observability of the whole system. Simulations are carried out on IEEE 14, 30 and 57 bus systems and results obtained are compared with traditional and other state estimation methods available in the literature, to demonstrate the effectiveness of the proposed method.

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