MILP Optimization Model for Assessing the Participation of Distributed Residential PV-battery Systems in Ancillary Services Market
作者机构：Department of Management&Innovation SystemsVia Giovanni Paolo II132Fisciano(Salerno)84084Italy Department of MathematicsVali-e-Asr University of RafsanjanKerman ProvinceRafsanjanUnnamed RoadRafsanjan ***Iran
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2021年第7卷第2期
页 面：348-357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]
主 题：Aggregator ancillary services market mixed-integer linear programming optimization PV-battery systems up and down regulation
摘 要：A novel non-linear stochastic method based on a Mixed-Integer Linear Programming(MILP)optimization model is proposed to optimally manage a high number of photovoltaic(PV)-battery systems for the provision of up and down regulation in the ancillary services *** method,considers both the technical constraints of the power system,and those of the equipment used by all the *** allows an aggregator of many residential prosumers endowed with photovoltaic(PV)-battery systems to evaluate the baseline of the aggregate by minimizing the costs related to the electrical energy absorbed from the grid and then to assess the up and down flexibility curves with relative offer *** confirmed by simulation results carried out considering different realistic case studies,the method can effectively be used by an aggregator to evaluate the economic impact of its participation in the ancillary services market,both for the aggregator and for its prosumers.
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