Multiobjective reactive power planning considering the uncertainties of wind farms and loads using Information Gap Decision Theory

被引:23
作者
Shojaei, Amir Hossein [1 ]
Ghadimi, Ali Asghar [2 ]
Miveh, Mohammad Reza [3 ]
Gandoman, Foad H. [4 ,5 ]
Ahmadi, Abdollah [6 ]
机构
[1] Payam e Golpayegan Higher Educ Inst, Fac Elect & Comp Engn, Golpayegan, Iran
[2] Arak Univ, Fac Engn, Dept Elect Engn, Arak 3815688349, Iran
[3] Tafresh Univ, Dept Elect Engn, Tafresh 3951879611, Iran
[4] Vrije Univ Brussel, MOBI Mobil Logist & Automot Technol Res Ctr, Res Grp, Pleinlaan 2, B-1050 Brussels, Belgium
[5] Flanders Make, B-3001 Heverlee, Belgium
[6] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia
关键词
IGDT; Multiobjective RPP; Uncertainty; Pareto front; Best compromise solution; SYSTEMS; FLOW; TRANSMISSION; ALGORITHM; STRATEGY; OPF;
D O I
10.1016/j.renene.2020.06.129
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This study deals with multiobjective reactive power planning, considering the uncertainties of load demand and wind power generation. The main feature of the current study is to examine the impact of multiple uncertainties on Reactive Power Planning (RPP), while several objectives exist. To fulfill this goal, the Information Gap Decision Theory (IGDT) is used to handle the uncertainties of load demand and wind power production. In order to cope with the probabilistic optimal RPP problem and to create Pareto optimal solutions, the epsilon-Constraint method is utilized. Fuzzy Decision Maker (FDM) and min-max approach are jointly applied to find the Best Compromise Solution (BCS). To evaluate the efficiency and the proficiency of the proposed multiobjective RPP model, it is implemented on the IEEE-30 bus test system via the GAMS software environment. To prove the superiority of the proposed model, the obtained results are compared with the scenario-based approach. The results imply that for specific amounts of uncertainty, the IGDT method performs reasonably towards the scenario-based approach. (C) 2020 Published by Elsevier Ltd.
引用
收藏
页码:1427 / 1443
页数:17
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