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Abstract
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This paper proposes an approach for simultaneous placement of distribution static compensator (DSTATCOM)
and renewable energy sources (RESs) and distribution system reconfiguration (DSR) based on
stochastic multi-objective modelling. Associated uncertainties of RESs in generating power, market price
errors and load forecasting are modelled in this problem. The problem is optimised by non-dominated
sorting genetic algorithms-II (NSGA-II) and then the best compromise solution is specified with fuzzy set
theory. The aim of optimisation is to minimise installation and operation costs of distributed generation
(DG) units, cost of D-STATCOM installation, the cost of procured energy from the transmission grid, costs
of reactive and active power losses, line upgrade cost and DSR expense. A risk-based model of energy not
supplied (ENS) as a reliability index is considered in the objective function to improve the reliability of the
system. The proposed approach is validated on the IEEE 33-bus test grid.
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