Dynamic programming based methodology for the optimization of the sizing and operation of hybrid energy plants

Combined Heat and Power Units Sizing and Energy Cost Optimization of a Residential Building by Using an Artificial Bee Colony Algorithm

“…The study described in [9] was similar to that in [6] but the storage systems differed. A genetic algorithm (GA) optimization technique was employed to reduce primary energy consumption (by about 12%) over the entire cycle of a hybrid plant.…”

“…Various previous approaches will now be briefly described. Use of a dynamic programming (DP) method to optimize both the sizing of CHP units and plant operation was presented in [6]. DP is commonly applied to optimize the control and energy management of hybrid energy plants.…”

Towards Optimal Management in Microgrids: An Overview

“…This optimal operation allowed the MG to purchase energy from the public network at the lowest cost possible, with a price equivalent to KRW 60/kWh. In [88], a methodology based on dynamic programming was developed, with the objective of minimizing primary energy consumption over the simulation period. The hybrid MG used in this paper was located in a commercial building in the north of Italy.…”

Multi-objective energy storage capacity optimisation considering Microgrid generation uncertainties

“…Moreover, publication [20], not only ignored the impact of power fluctuation and BES degradation on the optimised solution but also employed a nonlinear model to solve the established planning problem. Authors in [21] have presented a two-layer framework using Dynamic Programming (DP) optimisation strategy for configuration design and operation of hybrid energy plants to simultaneously minimise the carbon emissions and total cost of the system. The first stage of the proposed method aims at maximising the economic profit and minimising the carbon emission over the lifetime of the project through selecting a random structure at minimum investment cost, whereas the second stage focuses on the optimal scheduling of the equipment with the objective of operating cost reduction.…”