Review Article

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm

Table 4

Most cited papers between 2010 and 2017 of EC applied to energy-related problems.

Ref.YearEC approachProblem (optimization)Characteristics

[83]2010Strength Pareto evolutionary algorithm (SPEA)Wind turbine placement Turbine layout designConstrained optimization problem transformed to bicriterion optimization problem. Objective: maximize the expected energy output and minimize the constraint violations.
[84]2010Hybrid algorithm: differential evolution combined with biogeography-based optimization (DE/BBO).Economic load dispatch (ELD) problems of thermal power units.Convex and nonconvex problems. The ELP considers thermal power units, transmission losses, and constraints such as ramp rate limits, valve-point loading, and prohibited operating zones.
[85]2013Review: fuzzy logic control (FLC), artificial neural network (ANN), and evolutionary algorithms (EA).Maximum power point tracking (MPPT) techniques for PV applications.The paper focuses on the applications of CI techniques during partial shading conditions.
[80]2011Genetic algorithms (GAs) and second version of nondominated sorting genetic algorithm (NSGA-II).Combined cycle power plant (CCPP) optimization problem.Multiobjective optimization. Objective: determine the best design parameters, considering three objectives: (a) CCPP exergy efficiency, (b) total cost rate of the system products, and (c) CO2 emissions of the overall plant.
[86]2011Strength Pareto evolutionary algorithm (SPEA).Optimization of a stand-alone PV-wind-diesel system with battery storage.Multiobjective optimization. Objective: optimize the levelized cost of energy (LCOE) and the equivalent carbon dioxide (CO2) life cycle emissions.
[81]2010Differential evolution (DE).Optimal power flow (OPF) problemDifferent objective functions and nonsmooth piecewise quadratic cost functions are considered. Objectives: minimization of fuel cost, voltage profile improvement, and voltage stability enhancement.
[87]2011Adaptive modified particle swarm optimization (AMPSO) algorithm.Optimal operation of a MG with renewable energy sources accompanied by a back-up microturbine/fuel cell/battery hybrid power source.Nonlinear constraint multiobjective optimization problem Objective: minimization of total operating cost and the net emission simultaneously.
[82]2011Differential evolution (DE)PV modeling techniques.DE is applied to simultaneously compute all the model parameters at different irradiance and temperature points.
[88]2010Fuzzy adaptive hybrid PSO algorithm.Economic dispatch problem considering the valve-point effect.Nonsmooth and nonconvex problem when valve-point effects of generation units are taken into account.
[89]2012Review: evolutionary algorithms.Stand-alone hybrid renewable energy systems.The review focuses on multiobjective methods using evolutionary algorithms for hybrid renewable energy systems.