Optimal Renewable and Controllable Distributed Generation Planning in Distribution Networks for Power Loss Reduction and Reliability Improvement

Optimal Renewable and Controllable Distributed Generation Planning in Distribution Networks for Power Loss Reduction and Reliability Improvement

Distribution network operators (DNOs) tend to supply electrical energy to its customers in an economical and reliable manner. If distributed generation (DG) units are planned with a suitable way, they will be the best option to reduce costs and increase the distribution network reliability. This paper proposes a DG units planning model to determine technology type, capacity and location of DG units to reduce power losses and improve reliability and voltage profile in network. Objective function is a cost function which minimizes the investment and operation cost of DGs, purchase costs of the upstream network, defined cost to reliability index and the energy losses. In this study, electrical load is time variable and model is simulated on a typical radial network, successfully. GAMS software which is well known software to solving optimization problems is used to simulate.

Distribution network operators (DNOs) tend to supply electrical energy to its customers in an economical and reliable manner. If distributed generation (DG) units are planned with a suitable way, they will be the best option to reduce costs and increase the distribution network reliability. This paper proposes a DG units planning model to determine technology type, capacity and location of DG units to reduce power losses and improve reliability and voltage profile in network. Objective function is a cost function which minimizes the investment and operation cost of DGs, purchase costs of the upstream network, defined cost to reliability index and the energy losses. In this study, electrical load is time variable and model is simulated on a typical radial network, successfully. GAMS software which is well known software to solving optimization problems is used to simulate.