Measuring the value of energy storage systems in a power network

被引：6
|
作者：
Agrali, Cansu [1 ]
Gultekin, Hakan [2 ,3 ]
Tekin, Salih [2 ]
Oner, Nihat [2 ]
机构：
[1] Purdue Univ, Sch Ind Engn, W Lafayette, IN 47906 USA
[2] TOBB Univ Econ & Technol, Dept Ind Engn, TR-06560 Ankara, Turkey
[3] Sultan Qaboos Univ, Dept Mech & Ind Engn, Muscat, Oman
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2020年 / 120卷
关键词：
Renewable energy; Energy storage; Mixed integer linear programming; Heuristics; FLOW; PLACEMENT; INTEGRATION; MANAGEMENT;
D O I：
10.1016/j.ijepes.2020.106022
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The increased use of renewable generators and their intermittent behavior motivates network operators to deploy energy storage systems. In this study, energy storage types, locations, and capacities are optimized for a capacitated electric power network with renewable generation. Short term operational decisions that include charging/discharging schedules and capacity management of the storage systems are included in this optimization framework to capture hourly, daily, and seasonal fluctuations of the demand, renewable generation, and energy prices. A Mixed Integer Linear Programming (MILP) formulation is developed but because of the computational complexity, a mathematical programming based metaheuristic algorithm is proposed. With a numerical study, the proposed heuristic method is proved to be highly effective compared to the MILP formulation and an existing state of the art algorithm. The effects of storage installation costs, line capacities, demand and generation variance on the values of storage systems and on the installation decisions are analyzed through numerical studies.
引用
收藏
页数：10
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