Configuration Optimization and Analysis of a Large Scale PV/Wind System

Abstract

A multi-objective optimization model for optimizing the capacity size of the solar and wind component in a large scale PV/wind system is presented in this research. Objectives considered in the optimization include minimizing the power generation cost, maximizing the power supply reliability, and maximizing the average power fill rate. Decision variables, the number of PV arrays and wind turbines to be installed as well as the hourly load dispatches, are considered in the planning. A land budget is given to constrain the optimization. A solution algorithm is proposed to solve the proposed model and obtain exact solutions. Computational studies are performed to analyze the tradeoff among objectives in the optimization over the system's life-span. Combinations of load patterns, solar/wind resource availabilities, and penalties of power insufficiency construct different optimization scenarios. The computational results picture relationships among optimized objectives. The stability of the wind power generation contributes more than that of the solar power generation in achieving a more reliable power supply.

Optimal Placement of Wind Turbines Using Novel Binary Invasive Weed Optimization

“…Wind is one of the most promising alternative energy resources. All kinds of energy systems, such as geothermal, ocean, wind, solar and hydropower are natural energy resources [1,2]. Because renewable energy systems are stable, consistent, environmentally-friendly and economical, wind turbines are one of the most inclusive energy resources used all around the world [3,4].…”

“…Careful and rigorous work is necessary while constructing a wind farm. In other words, positioning wind turbines is very significant because it affects the turbine efficiency [2,7,8,9].…”

Sizing methodology based on design of experiments for freshwater and electricity production from multi-source renewable energy systems

“…Regarding the design, sizing and optimization of the power systems based on renewable energy sources, several approaches are proposed using different indicators and configurations. For hybrid wind-solar power systems, linear programming techniques [8,9], pattern search based on SMCS (Sequential Monte Carlo Simulation) [10], particle swarm optimization algorithm [11], bees algorithm [12] have been applied under economic and technical indicators. An optimal sizing using a linear programming of photovoltaic power plants based on the optimal participation in electricity markets has been developed in Ref.…”

“…Many sizing optimization publications optimize life cycle cost [1][2][3][4][5][6][7][9][10][11][12][13] and take into account weather conditions (wind speed, solar radiation and temperature) for one year [5][6][7]12,17,18]. In this paper, modeling is done on the amount of embodied energy (EE) for the life cycle of each element of the system, from meteorological records (wind speed, solar radiation, and temperature) over a year and for isolated sites.…”

“…Pressure vs flow Q 1 rate for CRN 3 (GRUNDFOS-pumps) and the hydraulic load. Flow rate Q 1 vs electric power P 1 for CRN 3 operating points and the Q 1 vs P 1 model(9).…”