Optimal reactive power dispatch: a review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation
power generation dispatch;
wind power plants;
power system stability;
reactive power;
stochastic programming;
fuzzy set theory;
static VAr compensators;
integer programming;
nonlinear programming;
optimal reactive power dispatch;
stochastic voltage stability constrained multiobjective model;
uncertain wind power generation;
standard ORPD problem classification;
stochastic multiobjective ORPD problem;
two-stage stochastic optimisation framework;
real power losses;
PLs;
operation &
maintenance cost;
O&
M cost;
wind farms;
voltage stability enhancement index;
binding constraint;
epsilon-constraint technique;
fuzzy satisfying approach;
voltage stability relaxed SMO-ORPD;
voltage stability constrained SMO-ORPD;
VSC SMO-ORPD;
reactive power compensation devices;
discrete control variables;
mixed-integer nonlinear programming optimisation problem;
general algebraic modelling system environment;
IEEE bus test systems;
PARTICLE SWARM OPTIMIZATION;
DIFFERENTIAL EVOLUTION ALGORITHM;
SEARCH;
SYSTEM;
MANAGEMENT;
ENERGY;
ALLOCATION;
DISCRETE;
FARMS;
FLOW;
D O I:
10.1049/iet-gtd.2016.1545
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:
In this paper, a comprehensive review of recent researches carried out in the area of optimal reactive power dispatch (ORPD) is presented. The literature review consists of a classification of ORPD problem, along with a survey on the strengths and weaknesses of different models proposed previously. Also, a stochastic multi-objective ORPD (SMO-ORPD) model is studied under load and wind power generation uncertainties. A two-stage stochastic model is employed for dealing with the uncertainties. The considered objective functions are real power losses (PLs) and operation & maintenance (O&M) cost of wind farms (WFs). The proposed SMO-ORPD problem is solved by considering voltage stability index (i.e. Lmax index). Besides, -constraint technique and fuzzy satisfying approach are employed to pick up the best compromise solution. Two cases are considered as follows: (i) voltage stability relaxed SMO-ORPD, and (ii) voltage stability constrained (VSC) SMO-ORPD. In this study, reactive power compensation devices are modelled as discrete control variables. Hence, the proposed SMO-ORPD problem is modelled as a mixed-integer non-linear programming optimisation problem. The SMO-ORPD problem is implemented in GAMS environment, and it is examined on the IEEE 30 and 118-bus test systems. The numerical results substantiate that in the case of VSC-SMO-ORPD, active PLs are higher than the other case, whereas O&M cost of WFs is not different considerably.
机构:
China Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R China
Yang, Shuo
Wang, Weisheng
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机构:
China Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R China
Wang, Weisheng
Liu, Chun
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机构:
China Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R China
Liu, Chun
Huang, Yuehui
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机构:
China Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst, Renewable Energy Dept, Beijing 100192, Peoples R China
机构:
Univ Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, IndonesiaUniv Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, Indonesia
Syah, Rahmad
Faghri, Safoura
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机构:
Islamic Azad Univ, Grad Univ Res & Sci, Sch Comp & Elect Engineer, Tehran 1584743311, IranUniv Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, Indonesia
Faghri, Safoura
Nasution, Mahyuddin K. M.
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机构:
Univ Sumatera Utara, Data Sci & Computat Intelligence Res Grp, Medan 20154, IndonesiaUniv Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, Indonesia
Nasution, Mahyuddin K. M.
Davarpanah, Afshin
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机构:
Univ Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, IndonesiaUniv Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, Indonesia
Davarpanah, Afshin
Jaszczur, Marek
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机构:
AGH Univ Sci & Technol, Fac Energy & Fuels, Mickiewicza 30, PL-30059 Krakow, PolandUniv Medan Area, Data Sci & Computat Intelligence Res Grp, Medan 20223, Indonesia