Risk-based distributed generation placement

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Risk-based distributed generation placement

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Published

A strategy is presented for the placement of distributed generation (DG) units in the distribution networks in an uncertain environment. Uncertainties in the system are modelled using fuzzy numbers. The proposed approach is based on a multi-objective model in which the objectives are defined as minimisation of monetary cost index (including investment, operation cost of DG units and cost of losses), technical risks (including risks of voltage and loading constraints violation because of load uncertainty) and economic risk due to electricity market price uncertainty. The true Pareto-optimal solutions are found with a multi-objective genetic algorithm and the final solution is found using a max–min approach. An example is presented to demonstrate the effectiveness of the proposed methodology.

Inspec keywords: power distribution economics; pricing; distributed power generation; minimax techniques; risk analysis; fuzzy set theory

Other keywords: load uncertainty; risk-based distributed generation placement; multiobjective model; max-min approach; electricity market price uncertainty; uncertain environment; economic risk; distributed generation units; fuzzy numbers; monetary cost index minimisation

Subjects: Optimisation techniques; Combinatorial mathematics; Power system management, operation and economics; Distribution networks

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