Optimal Allocation of Renewable Energy Hybrid Distributed Generations for Small-Signal Stability Enhancement

Olusayo A. Ajeigbe, Josiah L. Munda and Yskandar Hamam
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Olusayo A. Ajeigbe: Department of Electrical Engineering, French South African Technology Institute, Faculty of Engineering and the Built Environment, Tshwane University of Technology, Staatsartillerie Road, Pretoria 0183, South Africa
Josiah L. Munda: Department of Electrical Engineering, French South African Technology Institute, Faculty of Engineering and the Built Environment, Tshwane University of Technology, Staatsartillerie Road, Pretoria 0183, South Africa
Yskandar Hamam: Department of Electrical Engineering, French South African Technology Institute, Faculty of Engineering and the Built Environment, Tshwane University of Technology, Staatsartillerie Road, Pretoria 0183, South Africa

Energies, 2019, vol. 12, issue 24, 1-31

Abstract: This paper solves the allocation planning problem of integrating large scale renewable energy hybrid distributed generations and capacitor banks into the distribution systems. Extraordinarily, the integration of renewable energy hybrid distributed generations such as solar photovoltaic, wind, and biomass takes into consideration the impact assessment of variable generations from PV and wind on the distribution networks’ long term dynamic voltage and small-signal stabilities. Unlike other renewable distributed generations, the variability of power from solar PV and wind generations causes small-signal instabilities if they are sub-optimally allocated in the distribution network. Hence, the variables related to small-signal stability are included and constrained in the model, unlike what is obtainable in the current works on the planning of optimal allocation of renewable distributed generations. Thus, the model is motivated to maximize the penetration of renewable powers by minimizing the net present value of total cost, which includes investment, maintenance, energy, and emission costs. Consequently, the optimization problem is formulated as a stochastic mixed integer linear program, which ensures limited convergence to optimality. Numerical results of the proposed model demonstrate a significant reduction in electricity and emission costs, enhancement of system dynamic voltage and small-signal stabilities, as well as improvement in welfare costs and environmental goodness.

Keywords: renewable energy; renewable resource intermittencies; distributed generations; net present value of total cost; mixed integer linear programming; distribution network; dynamic small-signal stability; dynamic voltage stability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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