A SPEA2 based planning framework for optimal integration of distributed generations

Author

Pokharel, Keshav ; Mokhtar, Maizura ; Howe, Joe

Author_Institution

Centre for Energy & Power Manage., Univ. of Central Lancashire, Preston, UK

fYear

2012

fDate

9-12 Sept. 2012

Firstpage

387

Lastpage

392

Abstract

The paper presents a multi-objective optimization method for analysing the best mix of renewable and nonrenewable distributed generations (DG) in a distribution network. The method aims at minimising the total cost of the real power generation, line losses and CO₂ emissions, and maximising the benefits from DG installations over a planning horizon of 20 years. The paper proposes new objective functions that take into account the longevity of DG operations as one of its selection criteria. The analysis utilises the Strength Pareto Evolutionary Algorithm 2 (SPEA2) for optimization and MATPOWER for solving the optimal power flow problems.

Keywords

Pareto optimisation; distributed power generation; evolutionary computation; losses; pollution control; power distribution planning; power generation economics; CO₂ emission minimisation; DG installations; SPEA2 based planning framework; distribution network; line losses; multiobjective optimization method; nonrenewable distributed generations; optimal power flow; real power generation cost minimisation; renewable distributed generations; strength Pareto evolutionary algorithm 2; Cogeneration; Electricity; Generators; Minimization; Planning; Reactive power;

fLanguage

English

Publisher

ieee

Conference_Titel

Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International

Conference_Location

Florence

Print_ISBN

978-1-4673-1453-4

Type

conf

DOI

10.1109/EnergyCon.2012.6347788

Filename

6347788