Multi Objective Differential Evolution approach for voltage stability constrained reactive power planning problem

Roselyn, J. Preetha; Devaraj, D.; Dash, Subhransu Sekhar

doi:10.1016/j.ijepes.2014.02.013

Cited by 44 publications

(12 citation statements)

References 15 publications

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“…The control variables limits are expressed in Table 3. The per-unit energy cost is equal to 0.06 ($/h) [3], the fixed installation cost (e i ) for all VAR sources is 1000 ($), and the variable installation cost (C Ci ) for all VAR sources is 3.0 ($/kVAR) [44]. Table 3.…”

Section: Case Study Descriptions and Simulation Resultsmentioning

confidence: 99%

“…In order to validate the efficiency of the proposed method for multi-objective RPP, the ε-constraint method is applied to a deterministic multi-objective RPP problem. The obtained results are also compared with the approach presented in [3]. The deterministic multi-objective RPP aims to minimize the total VAR cost and voltage stability index.…”

Section: Case A: Deterministic Multi-objective Rpp Without Considerinmentioning

confidence: 99%

“…Reactive Power Planning (RPP) in power systems can be considered as one of the most difficult and complicated problems due to its complex variables, constraints, and optimization algorithms [1]. It is related to optimal sizing and allocation of VAR sources in power systems to satisfy prescheduled objectives, such as determining the optimal allocation and minimizing the operation costs [2,3]. The main objective of RPP is to achieve feasible operation with a satisfactory voltage profile with a lack of VAR support conditions.…”

Section: Introductionmentioning

confidence: 99%

“…However, in both studies, an attempt has been made to explain the problem in a deterministic context. A multi-objective RPP that mainly focuses on voltage stability is introduced in [3]. Nonetheless, it is modeled based on a deterministic approach.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Multi-Objective Optimal Reactive Power Planning under Load Demand and Wind Power Generation Uncertainties Using ε-Constraint Method

et al. 2020

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This paper presents an improved multi-objective probabilistic Reactive Power Planning (RPP) in power systems considering uncertainties of load demand and wind power generation. The proposed method is capable of simultaneously (1) reducing the reactive power investment cost, (2) minimizing the total active power losses, (3) improving the voltage stability, and (4) enhancing the loadability factor. The generators’ voltage magnitude, the transformer’s tap settings, and the output reactive power of VAR sources are taken into account as the control variables. To solve the probabilistic multi-objective RPP problem, the ε-constraint method is used. To test the effectiveness of the proposed approach, the IEEE 30-bus test system is implemented in the GAMS environment under five different conditions. Finally, for a better comprehension of the obtained results, a brief comparison of outcomes is presented.

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Section: Case Study Descriptions and Simulation Resultsmentioning

confidence: 99%

Section: Case A: Deterministic Multi-objective Rpp Without Considerinmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Multi-Objective Optimal Reactive Power Planning under Load Demand and Wind Power Generation Uncertainties Using ε-Constraint Method

et al. 2020

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show abstract

“…Then created population is ranked using domain and ranking ideas. This iterative process continues until optimum solutions are achieved [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. …”

Section: The Proposed Multi Objective Optimization Algorithmmentioning

confidence: 99%