Title :
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
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;
Conference_Titel :
Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International
Conference_Location :
Florence
Print_ISBN :
978-1-4673-1453-4
DOI :
10.1109/EnergyCon.2012.6347788
