Energy Efficient Based Optimized Renewable Energy Systems (ORES) Using QPSO Technique for Normalized Cost of Energy (NCE)

Numbers and charts of the world renewable energy agency and the International Energy Agency have lately shown that renewable energy sources (RES) have exceeded natural gas and have taken second place as a power source. The intermittent nature of RES, however, causes a large triple-dimensional problem: system costs, environmental impacts and system reliability. Studies have shown that various RES integrated into Optimized Renewable Energy Systems (ORES) may effectively manage these problems by applying appropriate optimization methods. This article provides a technique for optimising electricity produced by an example of the need for loads as the load of typical buildings to meet an ORES. Quantum Particle Swarm Optimization Technique (QPSO) is used as an algorithm to search for optimisation because of its advantages compared with other methods to reduce the standardised costs of energy, between production and demand taking account of losses;defined the problem and introduce the objective function with fitness in mind. The structure of the algorithm was created with MATLAB software.