Multi-objective planning of energy storage technologies for a fully renewable system: Implications for the main stakeholders in Chile

被引:24
|
作者
Haas, J. [1 ]
Nowak, W. [1 ]
Palma-Behnke, R. [2 ]
机构
[1] Univ Stuttgart, Dept Stochast Simulat & Safety Res Hydrosyst IWS, Stuttgart, Germany
[2] Univ Chile, Dept Elect Engn, Energy Ctr, Santiago, Chile
关键词
Generation expansion planning; River ecology; Integration of renewable technologies; Low-carbon systems; Electrical energy storage; Paris Agreement; HYDROLOGIC ALTERATION; PUBLIC ACCEPTANCE; POWER TRANSMISSION; RIVER FLOWS; EXPANSION; ELECTRICITY; LINES; FRAMEWORK; INFRASTRUCTURE; QUANTIFICATION;
D O I
10.1016/j.enpol.2018.11.034
中图分类号
F [经济];
学科分类号
02 ;
摘要
Energy storage systems can cost-effectively balance fluctuations from renewable generation. Also, hydropower dams can provide flexibility, but often cause massive fluctuations in flow releases (hydropeaking), deteriorating the ecology of the downstream rivers. Expanding transmission infrastructure is another flexibility source but is frequently plagued by social opposition and delays. As the decision-making process transcends costs, we developed a multi-objective framework to design a fully renewable power system, such that the tradeoffs between total costs, hydropeaking, and new transmission projects can be assessed from a multi-stakeholder perspective. We planned the Chilean power system for the year 2050 and, based on the obtained trade-off curves (Pareto), we identified the following implications for the different stakeholders. Avoiding new transmission generates little costs (avoiding 30%/100% of transmission costs < 1%/ > 3%), which is positive for planners but negative for transmission companies. Severe hydropeaking can be mitigated for about 1% of additional costs if transmission is deployed. Avoiding both hydropeaking and transmission is the most extreme scenario, costing 11%. The less the transmission and hydropeaking, the more solar and storage technologies are installed. Cheap solar and storage systems enable policymakers to cost-effectively limit hydropeaking and new transmission, which makes the system greener and more socially acceptable.
引用
收藏
页码:494 / 506
页数:13
相关论文
共 50 条
  • [41] Multi-Objective Optimal Planning of Virtual Synchronous Generators in Microgrids With Integrated Renewable Energy Sources
    Abid, Md. Shadman
    Ahshan, Razzaqul
    Al-Abri, Rashid
    Al-Badi, Abdullah
    Albadi, Mohammed
    [J]. IEEE ACCESS, 2023, 11 : 65443 - 65456
  • [42] Multi-objective optimal planning of EV charging stations and renewable energy resources for smart microgrids
    Asaad, Ali
    Ali, Abdelfatah
    Mahmoud, Karar
    Shaaban, Mostafa F. F.
    Lehtonen, Matti
    Kassem, Ahmed M. M.
    Ebeed, Mohamed
    [J]. ENERGY SCIENCE & ENGINEERING, 2023, 11 (03) : 1202 - 1218
  • [43] A Multi-objective Hybrid Optimization for renewable energy integrated Electrical Power Transmission Expansion Planning
    Gaffoor, Shereena
    Chacko, Mariamma
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, 2022, 13 (02) : 87 - 98
  • [44] A Multi-Objective Planning Framework for Coordinated Generation From Offshore Wind Farm and Battery Energy Storage System
    Paul, Santanu
    Nath, Angshu Plavan
    Rather, Zakir Hussain
    [J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2020, 11 (04) : 2087 - 2097
  • [45] Multi-objective optimization of energy arbitrage in community energy storage systems using different battery technologies
    Terlouw, Tom
    AlSkaif, Tarek
    Bauer, Christian
    van Sark, Wilfried
    [J]. APPLIED ENERGY, 2019, 239 : 356 - 372
  • [46] Demand response-based operation of a hybrid renewable energy system with energy storage by multi-objective optimization and multi-criteria decision making
    Bakhshaei, Peyman
    Askarzadeh, Alireza
    Arababadi, Reza
    [J]. ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY, 2023, 42 (02)
  • [47] Multi-objective Capacity Optimization of Integrated Energy System with Compressed Air Energy Storage
    Wang, Haiyang
    Li, Ke
    Zhang, Chenghui
    Ma, Xin
    [J]. PROCEEDINGS OF THE 15TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2020), 2020, : 484 - 489
  • [48] Multi-objective Interval Optimization Approach for Energy Hub Planning With Consideration of Renewable Energy and Demand Response Synergies
    Zeng, Bo
    Xu, Fuqiang
    Liu, Yu
    Gong, Dunwei
    Zhu, Xi
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2021, 41 (21): : 7212 - 7224
  • [49] Optimal Allocation of Hybrid Renewable Energy System by Multi-Objective Water Cycle Algorithm
    Mohamed, Al-Attar Ali
    Ali, Shimaa
    Alkhalaf, Salem
    Senjyu, Tomonobu
    Hemeida, Ashraf M.
    [J]. SUSTAINABILITY, 2019, 11 (23)
  • [50] Multi-objective optimization of a multiregional electricity system in an archipelagic state: The role of renewable energy in energy system sustainability
    Pratama, Yoga Wienda
    Purwanto, Widodo Wahyu
    Tezuka, Tetsuo
    McLellan, Benjamin Craig
    Hartono, Djoni
    Hidayatno, Akhmad
    Daud, Yunus
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 77 : 423 - 439