Optimal Sizing of Battery Energy Storage System (BESS) for Peak Shaving Under Malaysian Electricity Tariff

被引:5
作者
Subramani, Gopinath [1 ]
Ramachandaramurthy, Vigna K. [2 ]
Vijyakumar, Kanendra Naidu [3 ]
机构
[1] 1 Persiaran Univ, Dept Elect Engn, Nilai Univ, Nilai 71800, Negeri Sembilan, Malaysia
[2] Univ Tenaga Nas, Inst Power Engn, Jalan Ikram Uniten, Kajang 43000, Selangor, Malaysia
[3] Univ Kuala Lumpur, Elect Technol Sect, British Malaysian Inst, Bt 8, Gombak 53100, Selangor, Malaysia
关键词
Peak Shaving; Genetic Algorithm; Battery Energy Storage System (BESS); UTILITY;
D O I
10.1166/as1.2018.11177
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Peak shaving technique is used to reduce electrical power consumption during periods of maximum demand and saving substantial amount of money due to peak charges. The intermittent nature of solar photovoltaic (PV) resource imposes significant challenge in peak shaving. Since the Malaysian electricity tariff for commercial and industrial sectors are very high for maximum demand charges, the energy savings through optimal sizing of battery system will maximize the electricity bill savings. The Genetic Algorithm (GA) optimization technique used in this investigation is based on actual load profile. Technical and economic aspects such as battery efficiency, state of charge (SOC) and depth of discharge (DOD) and bi-directional DC/AC converter efficiency is considered for optimal sizing of battery energy storage system (BESS). The overall cost of BESS is crucial in response to the total energy savings to achieve good return of investment to implement this project in commercial and industrial sectors in Malaysia.
引用
收藏
页码:1861 / 1865
页数:5
相关论文
共 19 条
[1]
Akhil A.A., 2013, DOE EPRI 2013 ELECT
[2]
Energy storage technologies and real life applications - A state of the art review [J].
Aneke, Mathew ;
Wang, Meihong .
APPLIED ENERGY, 2016, 179 :350-377
[3]
[Anonymous], IEEE C PUBLICATIONS
[4]
[Anonymous], 2016, ENERGY STORAGE IND O, V1, P1
[5]
[Anonymous], 2008, SOLAR ENERGY GRID IN
[6]
[Anonymous], 2013, TECH REP
[7]
[Anonymous], 2011, EL EN STOR WHIT PAP
[8]
Probabilistic sizing of battery energy storage when time-of-use pricing is applied [J].
Carpinelli, Guido ;
Mottola, Fabio ;
Proto, Daniela .
ELECTRIC POWER SYSTEMS RESEARCH, 2016, 141 :73-83
[9]
A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control [J].
Chauhan, Anurag ;
Saini, R. P. .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2014, 38 :99-120
[10]
Cost-benefit assessment of energy storage for utility and customers: A case study in Malaysia [J].
Chua, Kein Huat ;
Lim, Yun Seng ;
Morris, Stella .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :1071-1081