Robust Short-Term Electrical Distribution Network Planning Considering Simultaneous Allocation of Renewable Energy Sources and Energy Storage Systems
The short-term electrical distribution network (EDN) planning is a strategy that aims to enhance the efficiency of the system and to provide high-quality service to end users. This strategy uses some classical actions and devices to effectively control the system power factor, reactive power, and the voltage magnitude of the network. Over the past decades, trends in this decision-making process have changed due to the integration of modern technologies. Therefore, this chapter investigates a short-term EDN planning problem considering classical investment alternatives with sizing and placement of energy storage systems and distributed generation sources based on renewable energy. Since this optimization problem is inherently a non-convex mixed-integer nonlinear programming model, there is no guarantee in finding the global solution. Therefore, proper linearization techniques are used to find a mixed-integer linear programming (MILP) model. On the other hand, to address the uncertainty in electricity demand and renewable output power, this deterministic MILP model is transformed into a two-stage robust optimization model. To handle this complex trilevel optimization problem, the column-and-constraint generation algorithm (C&CG) is employed in a hierarchical environment. To assess the performance of the proposed approach, a 42-node distribution network is studied under different operational conditions. Numerical results of different case studies show the robustness and applicability of the proposed approach.
KeywordsEnergy storage systems Renewable energy-based distributed generation sources Short-term planning problem Two-stage robust optimization
The authors would like to thank the Brazilian institutions CAPES (Finance code 001), CNPq (Grant NO. 305318/2016-0), and FAPESP (Grant NO. 2015/21972-6) for the financial support.
- 11.Nazari-Heris, M., & Mohammadi-Ivatloo, B. (2018). Application of robust optimization method to power system problems. In Classical and recent aspects of power system optimization (pp. 19–32). Imprint: Academic Press: Elsevier. https://doi.org/10.1016/C2016-0-03379-X.
- 17.Melgar Dominguez, O. D., Pourakbari Kasmaei, M., & Mantovani, J. R. S. (2018). Adaptive robust short-term planning of electrical distribution systems considering siting and sizing of renewable energy-based DG units. IEEE Transactions on Sustainable Energy, 1.Google Scholar
- 21.Khalid Mehmood, K., Khan, S. U., Lee, S.-J., et al. (2017). Optimal sizing and allocation of battery energy storage systems with wind and solar power DGs in a distribution network for voltage regulation considering the lifespan of batteries. IET Renewable Power Generation, 11, 1305–1315.CrossRefGoogle Scholar
- 31.LaPSEE Power System Test Cases Repository, [Online]. Available: http://www.feis.unesp.br/#!/lapsee