Abstract
The increasing penetration of distributed generation resources demands better economic performance of microgrids under the smart-grid era. In this paper, a comprehensive environmental-economic dispatch method for smart microgrids is proposed, with the objective for minimizing the summation of generation and emission costs in the system. As the proposed model belongs to a large-scale nonlinear and nonconvex programming problem, a hybrid heuristic algorithm, named variable step-size chaotic fuzzy quantum genetic algorithm (VSS_QGA), is developed. The algorithm utilizes complementarity among multiple techniques including the variable step size optimization, the rotation mutational angle fuzzy control, and the quantum genetic algorithm and combines them so as to solve problems with superior accuracy and efficiency. The effectiveness of the proposed model is demonstrated through a case study on an actual microgrid system and the advantages in the performance of VSS_QGA is also verified through the comparison with genetic algorithm (GA), the evolutionary programming approach (EP), the quantum genetic algorithm (QGA), and the chaotic quantum genetic algorithm (CQGA).
Highlights
A microgrid (MG) is defined as an electrical system that includes multiple loads and distributed energy resources, which can be operated in grid-connected or islanding mode
The MG integrates a large number of renewable distributed generations (RDG) and requires dynamic optimal power flow Journal of Applied Mathematics (DOPF) to treat intermittent and temporal correlation of distributed generation (DG)
In order to balance the economy and environmental protection in smart MG, V is set to V = 0.5, which means the contribution rates of both operation and emission cost to the object function are 50%
Summary
A microgrid (MG) is defined as an electrical system that includes multiple loads and distributed energy resources, which can be operated in grid-connected or islanding mode. With increasing DG penetration into MG, the issue of “how to obtain the optimal dispatch balancing the controversy between economic and environmental benefits while meeting the load demand and network security” has become an urgent problem for MG operators. The dispatch of traditional grid usually focuses on economy for optimization, through dispatching different types of thermal power unit to achieve real-time balance of the network power. When multiple unfirm generators are connected, the network capacity is shared based on a particular principle of access (PoA) in order to balance economic and environmental benefits and maintain the safe and stable operation of the system. In traditional power system, the single-period based optimal power flow (OPF) is widely used as a suitable tool for power dispatch problem, due to the lack of RDG units [4]. The MG integrates a large number of RDGs and requires dynamic optimal power flow
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