A Multi-Objective Hybrid Genetic Algorithm for Sizing and Siting of Renewable Distributed Generation
نویسندگان
چکیده
Renewable generation has been addressed in several aspects but it still represents a new paradigm for the expansion of electricity supply. This paper aims to propose model sizing and siting problem distributed (DG), based on renewable sources considering three main aspects: technical, from distribution utility viewpoint; economical, DG owner’s viewpoint, environmental, sustainability perspective. A multi-objective Genetic Algorithm Maximin metric are implemented obtain optimal Pareto sets; also, decision criteria, concept preference, applied select final solution sets. Case-studies carried out medium voltage systems: 69-bus test system, known literature, 918-bus Brazilian system. Diversity alternatives obtained sets testify algorithm effectiveness searching solutions problem, order ensure power loss reductions, investment return, environmental benefits. The proposed methodology contributes discussions perspectives among utilities, owners, society, regulators regarding planning making tools.
منابع مشابه
Genetic Algorithm for Optimum Siting and Sizing of Distributed Generation
This paper presents a powerful approach to find the optimal size and location of distributed generation units in a distribution system using Genetic Optimization algorithm (GA). The total active and reactive power losses are minimized and voltage profile is improved. GA fitness function is introduced including the active power losses, reactive power losses and the cumulative voltage deviation v...
متن کاملOptimal Placement and Sizing of Distributed Generation Via an Improved Nondominated Sorting Genetic Algorithm II
The use of distributed generation units in distribution networks has attracted the attention of network managers due to its great benefits. In this research, the location and determination of the capacity of distributed generation (DG) units for different purposes has been studied simultaneously. The multi-objective functions in the optimization model are reducing system line losses; reducing v...
متن کاملA multi-objective genetic algorithm (MOGA) for hybrid flow shop scheduling problem with assembly operation
Scheduling for a two-stage production system is one of the most common problems in production management. In this production system, a number of products are produced and each product is assembled from a set of parts. The parts are produced in the first stage that is a fabrication stage and then they are assembled in the second stage that usually is an assembly stage. In this article, the first...
متن کاملOptimal Placement and Sizing of Multiple Renewable Distributed Generation Units Considering Load Variations Via Dragonfly Optimization Algorithm
The progression towards smart grids, integrating renewable energy resources, has increased the integration of distributed generators (DGs) into power distribution networks. However, several economic and technical challenges can result from the unsuitable incorporation of DGs in existing distribution networks. Therefore, optimal placement and sizing of DGs are of paramount importance to improve ...
متن کاملA New Multi-objective Job Shop Scheduling with Setup Times Using a Hybrid Genetic Algorithm
This paper presents a new multi objective job shop scheduling with sequence-dependent setup times. The objectives are to minimize the makespan and sum of the earliness and tardiness of jobs in a time window. A mixed integer programming model is developed for the given problem that belongs to NP-hard class. In this case, traditional approaches cannot reach to an optimal solution in a reasonable...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied sciences
سال: 2021
ISSN: ['2076-3417']
DOI: https://doi.org/10.3390/app11167442