Mesoscale Wind Farm Placement via Linear Optimization Constrained by Power System and Techno-economics

Abstract

The objective of this study is to develop a wind farm placement and investment methodology based on a linear optimization procedure. This problem has a major significance for the investment success for the projects of renewable energy such as wind power. In this study, a mesoscale approach is adopted whereby the wind farm location is investigated in comparison with a microscale approach where the location of each individual turbine is optimized. Specifical study focuses on the placement of a wind farm by economical optimization constrained by the power system, wind resources, and techno-economics. Linear optimization is introduced in this context at the power system which is constrained by wind farm planning.

Renewable Energy Sources Scheduling Approach for Windfarm Layout Optimization by Using Ant Lion Optimization Algorithm

“…Because of the strategy's computational performance, it can be used for real-time monitoring. In [15][16], the authors concentrated on wind turbine wake models in massive offshore windfarms. The paper in [17], proposes an algorithm for solving the wind farm layout optimization problem with Multi-angular (MA) wind directions, with the aim of optimizing total power produced on wind farms while minimizing installation costs.…”

Optimal Planning and Bidding Strategy for Wind Farms in Joint Balancing and Day‐Ahead Energy Markets

“…Based on the literature review, the planning of wind units in the transmission network is generally constrained to DC power flow equations [17][18][19][20][21]28]. Besides, reactive power, network losses, and voltage deviation variables are disregarded in DC power flows, leading to a significant computational error of the problem.…”

“…A risk‐constrained stochastic programming model is introduced in [20] to optimize investment costs during building WSs. A linear optimization approach is developed in [21] allocation of WFs. Herein, the authors compare two different approaches in terms of WFs allocation.…”