AUTHOR=Liang Lingyu , Zhao Xiangyu , Huang Wenqi , Sun Liming , Wang Ziyao , Chen Fengsheng 

TITLE=Collaborative capacity planning method of wind-photovoltaic-storage equipment in microgrids considering different energy selling incomes

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1264986

DOI=10.3389/fenrg.2023.1264986

ISSN=2296-598X

ABSTRACT=Microgrid is a promising small-scale power generation and distribution system. The selling price of wind turbine equipment (WT), photovoltaic generation equipment (PV), and battery energy storage equipment (BES) have a significant impact on the microgrid profits, which in turn affects the planning capacity of renewable energy. However, existing research has not yet conducted in-depth modeling and analysis for different kinds of energy generation electricity prices. This paper proposes an optimal capacity planning method of wind-photovoltaic-storage equipment considering different energy selling income in microgrid. Stochastic characteristics of renewable energy (WT and PV), selling price of different energy, and timing coupling characteristic are considered in the proposed model. Besides, the configuration capacity of WT, PV and BES are modeled as discrete decision variables according to the type of specific equipment.And comprehensive life cycle cost (LCC) are considered as objective function. It can be found that the proposed collaborative capacity planning model is a mathematical programming problem with complex nonlinear constraints and integer variables. To solve this problem, a cultural gray wolf optimization algorithm (CGWO) is applied in this paper. The proposed method's efficiency, convergence, superiority, and effectiveness are verified through a case study. Moreover, the impact of different new energy sales prices on capacity planning results is also revealed in the article.