Cost Functions for Generation Dispatching in Microgrids for Non-Interconnected Zones in Colombia

Abstract

Generation dispatching is a challenge in islanded microgrids due to the operational and economic restrictions in isolated zones. Furthermore, the impact of usual operational network changes in topology, load demand, and generation availability may become significant considering the grid size. This research paper presents a detailed multiple cost function modeling methodology of an optimal power flow algorithm applied to a non-interconnected zone in Colombia. The optimal power flow (OPF) formulation includes cost functions related to renewable resources as presented in the isolated zone and a complete model of the charging and discharging of batteries. Additionally, the flexibility of the proposal is tested using three different network topologies with a characteristic daily load curve from the zone. The main contribution of this paper lies in the implementation of an optimal power flow including cost functions of renewable sources for isolated microgrids. A test case for a non-interconnected zone in Colombia is performed for various operation cases.

Resilience-Driven Optimal Sizing of Energy Storage Systems in Remote Microgrids

“…To ensure the resilience of the microgrid for a specified period of N days, the overall operation costs are considered as the ESS sizing criterion. In this regard, the objective function of the model defined in (1) comprises the operation costs of the controllable generators (consisting of the microturbine and the diesel generator) denoted by C CG [30], the annual cost of energy storage capacity investment defined by C ESS [31], the MG equipment maintenance cost C O&M , the emissions costs for the MT and diesel C emissions [28], and the load shedding penalties C shedding [32].…”

Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches

“…This method is also not based on data-driven techniques. In [6], a multiple-cost function modeling is performed to optimize the power flow in the non-interconnected zone in Columbia. The flexibility of the proposed method is performed using three network topologies.…”

“…Ranker search algorithm selects 29 features i.e., the feature numbers corresponding to Appendix A are 2,3,4,5,6,7,8,9,10,11,21,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40., Particle swarm optimization selects 14 features i.e., the feature number corresponding to Appendix A are 3, 10, 15, 22, 23, 27, 31, 33, 34, 36, 37, 38, 39, 40. Linear forward selection selects six features i.e., the feature numbers corresponding to Appendix A are 22, 27, 36, 37, 39, 40.…”