OPTIMIZING THE INSTALLATION POWER OF RENEWABLE ENERGY WITH CONSIDERATION OF INVESTMENT EFFICIENCY AND LOAD DISPATCH

  • Đặng Thành Trung
  • Thái Quang Vinh
  • Trần Kỳ Phúc
  • Phùng Thị Thanh Mai
  • Phạm Thị Phương Thảo
Keywords: Genetic Algorithm (GA); Particle Swarm Optimization (PSO), economic regulation of power system, Optimizing installed capacity of renewable energy sources

Abstract

In this paper, genetic algorithm and swarm algorithm are used to calculate the optimal installed capacity for renewable energy sources (wind energy, solar energy) for power system. The problem is implemented in terms of optimal power flow and investment efficiency of renewable energy sources considering the advantages of potential and geographical location. The problem is calculated for IEEE-30-node standard power grid, in which there are 6 traditional power sources (thermoelectricity, hydroelectricity) and 24 loads and 10 nodes that can install renewable energy sources. Calculation results show that finding the optimal installed capacity for the grid ensures that the node voltage and branch current are always within the allowable value when the renewable energy source capacity varies continuously from 0 to 100%.

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Published
2022-11-25
Issue
Vol. 29 No. 29 (2022): Số 29
Section
Bài viết