Multi-objective Optimization Model of Regional Hybrid Energy System Compatible with Responsive Load

doi:10.3969/j.issn.1000－7229.2018.09.004

Abstract

Abstract: The construction of integrated energy system is an important way to promote renewable energy consumption, achieve multi-energy cooperation, and improve energy utilization efficiency. Considering operation cost, CO2 emission intensity and renewable energy accommodation benefits of the system, a multi-objective optimization model of regional hybrid energy system （RHES） compatible with responsive load is built. With the constraint conversion and fuzzy satisfying decision method （FSDM）, the multi-objective mixed integer optimization problem is transformed into a single objective optimization problem and then be solved. A numerical example shows that, according to the constructed multi-objective optimization model of REHS, the operation cost, emissions cost and renewable energy accommodation benefits can be comprehensive optimized. In addition, when considering responsive load, the daily peak-valley difference of the system is reduced, and the reduction targets of operation cost and emission are further optimized.

Key words: regional hybrid energy system（RHES）, demand side resource, multi-objective optimization, fuzzy satisfying decision method（FSDM）, responsive load

CLC Number:

TM 73

WANG Tao, CUI Huaiyu, WU Geng, ZENG Ming. Multi-objective Optimization Model of Regional Hybrid Energy System Compatible with Responsive Load[J]. Electric Power Construction, 2018, 39(9): 30-38.

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