Optimal distributed resource planning for microgrids under uncertain environment

Technologies such as the integration of distributed generations (DGs) and shunt capacitors (SCs) are key for realising smart distribution systems. These technologies may be coordinated together to get better solutions so that distribution systems can achieve optimum performance. This study proposes a long-term distribution system planning methodology to determine the optimal sizing and siting of SCs and mix of dispatchable and intermittent DGs. More practical formulations are suggested while considering realities of modern distribution systems with reference to the stochastic nature of load demand and power generation among distribution buses on account of diversity, variability and uncertainty. The long-term costs in the proposed planning model include several techno-economic and social objectives pertaining to investment, operation and maintenance of these distributed resources and the revenue generated by sale of electricity to customers and the utility grid. The proposed planning model is more practical as it fully considers the system uncertainties and variability in load and power generation which are efficiently handled by introducing deterministic self-adaptive uncertainty model. The case study on a standard test distribution system being modified by wind turbines, photovoltaic generators and microturbines demonstrates the effectiveness of the proposed methodology. The results of study are investigated and presented.