Solution approach for optimal power flow considering wind turbine and environmental emissions

Abstract

The power grid is changing expeditiously with the increasing penetration of renewable energy sources (RES). Optimal utilization of RES reduces the burden on the primary grid and makes the grid more resilient. Traditional optimal power flow (OPF) is a complex problem in power management systems, and the complexity further increases with the integration of RES due to their intermittency. This paper presents the complete formulation of the OPF model incorporating wind turbines (WT) and environmental emissions for proper scheduling, planning, and efficient operation of thermal generating units (TGU) using the Ant Lion Optimization (ALO) algorithm. The formulation of the OPF problem comprises forecasted active power generation of WT, depending on the real-time measurement and probabilistic wind speed models. The results are analyzed from the perspective of operating cost, voltage profile, and transmission power losses in the system. The OPF approach and the solution methodology are tested on the IEEE 30 and IEEE 57-bus systems. The effectiveness of the proposed ALO algorithm is evaluated against well-established algorithms like Particle Swarm Optimization and Teaching-learning-based optimization. The comparison emphasizes the effectiveness of the ALO approach for solving various OPF problems with complex and non-smooth objective functions.

Investigation of optimal power flow solution techniques considering stochastic renewable energy sources: Review and analysis

“…where F ( x , y ) represents the objective function, g ( x , y ) = 0 represents the equality constraint, whereas h ( x , y ) ≤ 0 represents the inequality constraints, x , and y are the vectors of state and control variables. Equality and inequality constraints, state and control variables considered in this study are taken from the reference (Maheshwari and Sood, 2022).…”

Developing a strategy based on weighted mean of vectors (INFO) optimizer for optimal power flow considering uncertainty of renewable energy generation

“…In the literature, many meta-heuristic methods have been used for solving OPF problem considering RESs. In [ 3 ], the authors provided ant lion optimization (ALO) algorithm for solving the OPF with wind energy. White sharks algorithm has been employed in [ 4 ] for solving the OPF problem with solar and wind energies.…”

Influence of Renewable Energy Sources on Day Ahead Optimal Power Flow Based on Meteorological Data Forecast Using Machine Learning: A case study of Johor Province

“…In this regard, numerous solution methods involved with (OPF) problem have been investigated in the literature along with different scenarios to engage wind turbines and PV generation in the mathematical modelling of OPF [20][21][22][23][24][25]. To address the uncertainties that introduced by (RES), researchers have used Weibull`s probability distribution functions (PDFs) and lognormal PDF or Beta PDF to forecast the stochastic conduct of wind speed and solar irradiance respectively in mathematical models of OPF.…”