摘要：Optimal allocation of renewable distributed generation (RDG), i.e., solar and the wind
in a distribution system becomes challenging due to intermittent generation and
uncertainty of loads. This paper proposes an optimal allocation methodology for single
and hybrid RDGs for energy loss minimization. The deterministic generation-load model
integrated with optimal power flow provides optimal solutions for single and hybrid
RDG. Considering the complexity of the proposed nonlinear, constrained
optimization problem, it is solved by a robust and high performance meta-heuristic,
Symbiotic Organisms Search (SOS) algorithm. Results obtained from SOS algorithm
offer optimal solutions than Genetic Algorithm (GA), Particle Swarm Optimization
(PSO) and Firefly Algorithm (FFA). Economic analysis is carried out to quantify the
economic benefits of energy loss minimization over the life span of RDGs.
关键词：Optimal allocation; renewable distributed generation; loss minimization; symbiotic;
organisms search.
