2013，37(9)
力
系
自
力信息集成。
曹一家(1969一)，男，教授，博士生
，主要研究方向：
永(1986一)，男，通信作者， 士研究生，主要研究
方向：物 网及其技 在智能 网中的 用。E-mail：
．net
力系
定与控制、信息技
在
力系 中的 用。
丁琰)
(
松迎
黄小 (1981一)，女，博士，主要研究方向：智能
站、
Encode-identification in Internet of Power Transmission and Transformation
Equipments
Equipment
ZHANG Junyong，HUANG
Jie
Xiaoqing，CAO Yijia，ZHU Yusheng，HE
of Electrical&Information
Engineering，Hunan University，Changsha 410082，China)
(College
and
transmission
power
to the
trend of internet of
in the
internet of
Abstract：According
transformation
application
things
power grid，the
for the demand
information
is
the
architecture
of
equipments
defined，and
system
index，compiling principles
scheme of
identification
on the
structure and idea of electronic
and
product
design
equipment
proposed by drawing
coding
tO the
code
existing equipment
such as
method is
design adopted
of the
conventions．Furthermore，some problems
quantization
code(EPC)and referring
of identification code are
the modularization
scheme and
coding
recognition application
analyzed，and
in
the code— identification
and
structure and function of two
are
at
system．The
systems
expounded
constructing
system
coding
the relation between the
identification code and the
code is
investigated．
equipment
length．Finally
equipment
existing power
This work is
National
Research and
of China(863
Development Program Program)
by
High Technology
supported
National Natural Science Foundation of
(No．2011AA05A120)and
China(No．61104090)．
of
transmission and transformation
words：internet
equipment；equipment
Key
things；electronic product code(EPC)；power
identification
system
code；encoding— identification
oo(×’oooooooocooocooocoooCoooCoCoooC啼。口ooooo_oC口ooooooC岭ooooooC．oo— ◇ oC婚ooC岭o_。ooooooooo<>ooC岭oo<>oCoCoo《>
from
40)
(上接第40 continued
page
A
for Grid-side
Resources in
Coordinated
Planning Approach
Integrated
an
Service Environment
Energy— saving
B01，DONG Jun 2，ZHANG Jianhua‘，ZENG Ming 2
ZENG
for Alternate Electrical Power
with Renewable
102206，China；
Sources，
Energy
(1．State
System
Key Laboratory
North China Electric Power
University，Beijing
China Electric Power
2．School of Economics and
network
102206，China)
University，Beijing
Management，North
become
with demand— side resource allocation to obtain maximum benefits has
expansion
Abstract：Coordinating
novel
grid—
after
the affiliated service
energy
this
issue for the utilities
company(ESCO)．In
background，a
significant
side
founding
both
and simultaneous
resource
is
presented．By quantitatively simulating
independent
integrated
planning(GIRP)model
is
model
coordinating planning
and demand
on the load
response programs
bi— level
effects of
curve，a
energy efficiency
used to solve the
balances the
of both
and affiliated ESCO．The
objectives
utility
of the
genetic algorithm(GA)is
developed．which
is verified with
approach
of
grid— side integrated
resource
model．The
and
study
proposed
rationality
superiority
is made for several
with two other
representative planning modes．Finally，a sensitivity analysis
planning(GIRP)as compared
theoretical
to future
network
power planning．
uncertain
factors，providing
guidance
Foundation of the
the National Soft Science Research
This work is
Program(No．2012GXS48064)，Energy
supported by
U．S．rNo．G-1006— 12630)and Program
in
Excellent Talents
for New
Century
University(No．NCET-08— 0771)．
coordinating；grid— side integrated
planning；demand— side resource；energy-saving
Key words：grid planning；bi— level
serVices
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