دانلود رایگان مقاله انگلیسی ,بهینه سازی چند هدفه و طراحی سیستم ترکیبی فتوولتائیک- بادی برای Smart DC Microgrid

Multi-Objective Optimization and Design of Photovoltaic-Wind Hybrid System for Community Smart DC Microgrid

سال انتشار : 2011

نوع مقاله : IEEE JOURNALS & MAGAZIENS

تعداد صفحات : 9

Abstract—Renewable energy sources continues to gain popularity.

However, two major limitations exist that prevent widespread

adoption: availability of the electricity generated and the

cost of the equipment. Distributed generation, (DG) grid-tied photovoltaic-

wind hybrid systems with centralized battery back-up,

can help mitigate the variability of the renewable energy resource.

The downside, however, is the cost of the equipment needed to

create such a system. Thus, optimization of generation and storage

in light of capital cost and variability mitigation is imperative to

the financial feasibility of DC microgrid systems. PV and wind

generation are both time dependent and variable but are highly

correlated, which make them ideal for a dual-sourced hybrid

system. This paper presents an optimization technique base on

a Multi-Objective Genetic Algorithm (MOGA) which uses high

temporal resolution insolation data taken at 10 seconds data rate

instead of more commonly used hourly data rate. The proposed

methodology employs a techno-economic approach to determine

the system design optimized by considering multiple criteria

including size, cost, and availability. The result is the baseline

system cost necessary to meet the load requirements and which

can also be used to monetize ancillary services that the smart

DC microgrid can provide to the utility at the point of common

coupling (PCC) such as voltage regulation. The hybrid smart DC

microgrid community system optimized using high-temporal resolution

data is compared to a system optimized using lower-rate

temporal data to examine the effect of the temporal sampling of

the renewable energy resource.

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