Optimal microgrid planning for enhancing ancillary service provision

作     者：Sergio F.CONTRERAS Camilo A.CORTES Johanna M.A.MYRZIK 

作者机构：Institute of Automation TechnologyUniversity of BremenOtto-Hahn-Allee 1 NW1/M1050(70)28359 BremenGermany Department of Electrical and Electronics EngineeringUniversidad Nacional de ColombiaCarrera 30 Calle 45.Ciudad Universitaria Edificio 453Bogota′Colombia 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2019年第7卷第4期

页      面：862-875页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

基　　金：the program“Becaspara Doctorados Nacionales 2014-647”of Colciencias 

主　　题：Microgrid Ancillary services(AS) Planning Multi-objective optimization Decision-making 

摘      要：Microgrids have presented themselves as an effective concept to guarantee a reliable,efficient and sustainable electricity delivery during the current transition era from passive to active distribution ***,microgrids could offer effective ancillary services(AS)to the power utility,although this will not be possible before the traditional planning and operation methodologies are ***,a probabilistic multi-objective microgrid planning(POMMP)methodology is proposed in this paper to contemplate the large number of variables,multiple objectives,and different constraints and uncertainties involved in the microgrid *** planning methodology is based on the optimal size and location of energy distributed resources with the goal of minimizing the mismatch power in islanded mode,while the residual power for AS provision and the investment and operation costs of the microgrid in grid-connected mode are maximized and minimized,*** that purpose,probabilistic models and a true multi-objective optimization problem are implemented in the *** methodology is tested in an adapted PG&E 69-bus distribution system and the non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)optimization method and an analytic hierarchy process for decision-making are used to solve the optimization problem.