Conference Program of WCICA 2012

Conference Program WCICA 2012
Yan, Tao
Du, Zhanzhan
Wang, Chengmin
China Electric Power Research Inst.
China Electric Power Research Inst.
Shanghai Jiao Tong Univ.
Because of energy shortage, environment pollution is serious day by
day. Various countries are trying to find a kind of energy use with little
environmental pollution and high utilization rate. Distributed generation
overcomes many weaknesses of traditional centralized power supply
with the advantages of less environmental pollution, high energy utilization
rate, reliability and flexibility etc, pay attention to all over the world
more and more. Converter technology is the difficulty to widely use distributed
generation. In this paper, energy storage system structure and
control strategy for distributed generation are studied through theoretical
analysis, simulation and experiment platform and design distributed
generation system based on energy storage converter technology.
It can be seen that energy storage converter can satisfy the relevant
technical requirements applied in distributed generation system. The
effectiveness of the method proposed in this paper is verified by the
practical tests.
◁ PSaA-55
Data-driven artificial system of parallel emergency management for
petrochemical Plant, pp.4103–4107
Shang, Xiuqin
XIONG, Gang
Cheng, Changjian
LIU, Xiwei
Inst. of Automation,Chinese Acad. of Sci.
Inst. of Automation,Chinese Acad. of Sci.
parallel management
Inst. of Automation, CAS
A data-driven system of parallel emergency management is designed
to manage production safety emergencies caused by natural or humaninduced
disasters in the petrochemical plant, combining with the parallel
management theory based on ACP (Artificial Systems, Computational
Experiment, and Parallel Execution) approach. Data is acquired
by use of techniques including video monitoring and detection, which
is the premise of building Artificial System. Based on mass data of the
key state variables, Artificial System is designed by using fuzzy expert
system and other intelligent modeling algorithms. Finally, the parallel e-
mergency solution is provided for emergency management in one case
of ethylene plant, and it can make a great improvement to the emergency
management of the plant.
◁ PSaA-56
A PSO Algorithm Based on Group History Experience, pp.4108–4112
Yan, Zheping
Li, Benyin
Deng, Chao
Harbin Engineering Univ.
Haerbin Engneeing Univ.
Haerbin Engneeing Univ.
Particle swarm optimization groups adjust the search strategy to obtain
evolution by fully sharing information. Rational utilize of the group information
also determine the efficiency and performance of particle swarm
algorithm. The group historical experience particle swarm optimization
(GHEPSO) is proposed, particles are not influenced only by the group
optimal position of the current iterative time and by their historical optimal
position, but also by the group optimal position of previous iterative
time at the same time. This algorithm more fully use the group experience
information than basic PSO algorithm. The performance of the
algorithm is analysed through several typical test functions, camparing
this algorithm with basic particle group algorithm. The result shows that
GHEPSO is better to solve the problem of multi-modal function than the
basic PSO. And the optimized effect will be more improved if GHEPSO,
MPSO and TVAC can be combined together.
◁ PSaA-57
A Novel Two-subpopulation Particle Swarm Optimization, pp.4113–
4117
Yan, Zheping
Deng, Chao
Zhou, Jiajia
Chi, Dongnan
Harbin Engineering Univ.
Haerbin Engneeing Univ.
Harbin Engineering Univ.
Harbin Engineering Univ.
The performance of the particle swarm is mainly influenced by individual
particles experience and group experience in the period of evolution
for particle swarm optimization. To make full use of the two factors and
effectively improve the particle swarm optimization performance, Introduced
a novel Two-subpopulation Particle Swarm Optimization, The
proportion of individual experience and group experiences is different
in each subpopulation swarm. If the proportion of individual experience
greater than the group experience, the particle swarm search
space abroad, whereas, the proportion of group experience greater
than individual experience, the particle swarm search the local area fully.
The proposed Two-subpopulation particle swarm optimization combines
both advantages, make the search more fully and not easily into
the local minimum points. Finally simulations were carried out and the
results showed that the proposed Two-subpopulation particle swarm
optimization, obviously better than the basic particle swarm algorithm
in search precision and stability.
◁ PSaA-58
Intelligence Decision Supporting Algorithms of Production Planning
based on Hopfield network , pp.4122–4125
SU, Jinlong
Tongji Univ.
This paper is one of the series of papers about the research of kinds of
Neural Networks’application on the auto-decision of production planning.
This one lays emphasis upon the design of the optimal production
planning intelligent algorithms to keep the manufacture financing stability
in product cycle, and consider what kind of algorithms are useful
and effective. The author mainly concern and research into the optimal
production planning algorithms designed by Fuzz Hopfield Networks,
such as problems of manufacture financing by optimal product schedule.
The analysis and experiment results are elaborated in turn, which
are all prove its effectiveness and feasibility.
◁ PSaA-59
Project Development Management System of Financial Equipment Enterprises
Based on PDM , pp.4135–4140
Cui, Wenhua
Liu, Xiaobing
Wang, Jie-sheng
liaoning Sci.&Tech. Univ.
Dalian Univ. of Tech.
Univ. of Sci. & Tech. Liaoning
Based on the project flowchart management information system model
in the process of enterprise products development, a UML model of
the project management information system based on the PDM technology
for the financial equipment enterprises is proposed. The design
and debarment of the proposed project management information
system are finished completely. The UML modeling method and .NET
technologies are adopted to exploit the data accessing model and the
project management information model. The system plays emphasis on
the product project flowchart management and document management,
whose major function modules include of project view management,
test view management, document view management and organization
view management.
◁ PSaA-60
Steady-State Identification with Gross Errors for Industrial Process U-
nits, pp.4151–4154
Tao, Lili
Li, Chaochun
Kong, Xiangdong
Qian, Feng
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
East China Univ. of Sci. & Tech.
Identification of steady state is an important task for satisfactory control
of many processes. Due to the disadvantages of the traditional
steady-state identification (SSI) methods, the adaptive polynomial filtering
(APF) method was used for SSI in this paper. Furthermore,
the presence of gross errors can corrupt the steady-state identification
method, giving undesirable results. The APF steady-state identification
with the new 3δformula method was modified for gross errors detection
by using the quartile method based on first order differential in this
paper. This method was applied to the simulated data and data from a
crude oil distillation unit. Simulation results and comparisons with the
traditional methods confirmed the validity of the proposed method.
◁ PSaA-61
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