This paper describes a methodology to design a hybrid renewable energy system over a certain planning horizon. Traditionally a system plan was developed to achieve a minimum cost objective (MCO) while satisfying the energy demand, reliability, stability and battery constraints. The minimum emissions objective (MEO) is now an important target to achieve subject to the above mentioned constraints. Each of the above problems may be solved using linear programming, but minimizing the two preceding objectives at the same time forms a multi-objective problem which is solved by the epsiv-constraint and the goal attainment methods. The epsiv-constraint method minimizes the total cost while the emissions are less than a certain value epsiv determined by the linear programming when minimizing emissions only or by the designer. The goal attainment method tries to balance all the objectives and make them as close as possible to the initial goals determined by MCO and MEO. A case study is presented to illustrate the applicability and the usefulness of the proposed method.
[1]
G. C. Seeling-Hochmuth.
A combined optimisation concet for the design and operation strategy of hybrid-PV energy systems
,
1997
.
[2]
B. J. Brinkworth,et al.
Sizing and techno-economical optimization for hybrid solar photovoltaic/wind power systems with battery storage
,
1997
.
[3]
Giri Venkataramanan,et al.
Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems
,
1998
.
[4]
Saifur Rahman,et al.
Unit sizing and control of hybrid wind-solar power systems
,
1997
.
[5]
Anastasios G. Bakirtzis,et al.
Design of a stand alone system with renewable energy sources using trade off methods
,
1992
.
[6]
B. J. Brinkworth,et al.
‘ARES’—A refined simulation program for the sizing and optimisation of autonomous hybrid energy systems
,
1997
.
[7]
R. Chedid,et al.
Probabilistic performance assessment of autonomous solar-wind energy conversion systems
,
1999
.