Economical Evaluation and Optimal Energy Management of a Stand-Alone Hybrid Energy System Handling in Genetic Algorithm Strategies

Abstract

Hybrid renewable energy systems are a promising technology for clean and sustainable development. In this paper, an intelligent algorithm, based on a genetic algorithm (GA), was developed and used to optimize the energy management and design of wind/PV/tidal/ storage battery model for a stand-alone hybrid system located in Brittany, France. This proposed optimization focuses on the economic analysis to reduce the total cost of hybrid system model. It suggests supplying the load demand under different climate condition during a 25-years interval, for different possible cases and solutions respecting many constraints. The proposed GA-based optimization approach achieved results clear highlight its practicality and applicability to any hybrid power system model, including optimal energy management, cost constraint, and high reliability.

Reduction of Power Production Costs in a Wind Power Plant–Flywheel Energy Storage System Arrangement

“…Among them, population methods show high effectiveness. Their main features, in addition to the capability of searching for the global extreme, are: resistance to the modification of the scope and complexity of the task, set of restrictions and form of the objective function, as well as possibility of application for differentiating the types of decision variables [34,40].…”

“…One of the groups of requirements for modern technical systems is economic indices [30][31][32][33][34]. Designing a system that meets technical assumptions and limitations, and at the same time a group of economic indices, requires the use of advanced calculation methods, among which optimisation occupies a special place [14,[32][33][34][35][36][37][38][39]. It allows to choose the best solution from the point of view of the adopted quality index, called in the theory of optimisation, the objective function J(x), where x is the vector of decision variables related to the examined system and influences the value of the adopted index.…”

Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation

“…In [54] as well as in [55] GA is utilized for optimization of energy systems which uses solar energy sources. Optimal energy management of a stand-alone hybrid energy system by using GA strategies is presented in [56], while energy quality management for a micro-energy network integrated with renewables in a tourist area was analyzed in [57] where the authors used GA optimization in order to obtain optimal energy distribution. Reducing of water pumps electricity usage and pollution emissions by using sorting GA can be found in [58].…”

Optimizing Off-Grid Generation in Large-Scale Electrification-Planning Problems: A Direct-Search Approach

“…On the other hand, the optimization of generation designs is a widely-studied problem from the perspective of an individual off-grid system [11,12]. Some of the methods are based on classical optimization techniques such as Mixed-Integer Programming (MIP) [13], whereas others apply heuristic algorithms [14], metaheuristic techniques [15][16][17][18], or artificial intelligence methods [19]. Most methods minimize the cost of the system, although some methods include other criteria such as minimizing carbon emissions [20].…”