Hybrid transmission expansion planning and reactive power planning considering the real network uncertainties

被引:5
|
作者
Abdi, Hamdi [1 ]
Moradi, Mansour [2 ,3 ]
Rashidi, Reza [4 ]
机构
[1] Razi Univ, Engn Fac, Elect Engn Dept, Kermanshah, Iran
[2] Islamic Azad Univ, Kermanshah Branch, Young Researchers & Elite Club, Kermanshah, Iran
[3] Tech & Vocat Univ TVU, Fac Tech & Vocat, Dept Elect Engn, Eslamabad E Gharb Branch, Kermanshah, Iran
[4] Bu Ali Sina Univ, Fac Engn, Dept Elect Engn, Hamadan, Hamadan, Iran
关键词
electric vehicles (EVs); gravitational search algorithm (GSA); hybrid transmission expansion planning and reactive power planning (HTEP-RPP); imperialist competitive algorithm (ICA); probability density function (PDF); renewable energy; IMPERIALIST COMPETITIVE ALGORITHM; ELECTRIC VEHICLES; FLOW MODEL; WIND FARMS; AC; GENERATION; IMPACT;
D O I
10.1002/jnm.2937
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Conventional transmission expansion planning (TEP) has evolved with the increasing influence of distributed generations (DGs) and electric vehicles (EVs). This increases uncertainty in power systems. On the other hand, reactive power plays a key role in voltage stability, so modeling reactive power planning in TEP is very important. The amount of reactive power is a determining factor regarding the stability of the network voltage and in case of shortage, occurrence of some events may endanger the voltage stability. This research aims at proposing a hybrid TEP and reactive power planning for the first time. Furthermore, the impact of wind, PV power plants, and EVs, as the common sources of uncertainties, are included. The ultimate goal of HTEP-RPP is to find the transmission line candidates that meet the reactive power requirements. The simulation case studies on IEEE 24- and 118- buses confirm that the TEP based on DCPF may lead to some unreliable operating conditions due to violating the voltage constraints. In this case, the HTEP-RPP results, by applying the imperialist competitive algorithm (ICA), are more comprehensive and effective than the results obtained by gravitational search algorithm (GSA), for the studied problem or even the popular TEP solutions.
引用
收藏
页数:25
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