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A hybrid Differential Evolution – Analytic Hierarchy Process Method for Multi-objective Optimization

In the last years, new energy sources were used in order to reduce global warming and energy depletion. Besides that, the need to improve reliability and to reduce the energy not supplied under contingency scenarios has lead to implement Demand Response (DR) programs. This paper approaches a multi-objective optimization problem that aims to find the loading of local generators (DG) and the most appropriate DR strategy applied to some important customers in the network, to simultaneously optimize two or three objective functions. A combined method between differential evolution (DE) and analytic hierarchy process (AHP) is used in order to find the solution which fits the best the decision maker requirements. Key-Words: multi-objective optimization, distribution networks, distributed generation