Paving the way for a renewables-based electricity sector by introducing a 'real-time physical allocation scheme' for renewable electricity

被引:0
|
作者
Hauser, Eva [1 ]
Luxenburger, Martin [1 ]
机构
[1] IZES GGmbH, Inst Zukunftsenergiesyst, D-66115 Saarbrucken, Germany
关键词
electricity market design; electricity market transformation; renewables-induced merit-order-effect (and benefit-sharing of); renewables-based electricity supply;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to obtain a share of renewable electricity of at least 35% by 2020 and 80% in 2050, the German legislator created the German renewables Act (EEG) which has proven to be extremely successful (nearly 20% in 2011) in facilitating investment in renewable power plants and lowering their feed-in-tariffs. But this success currently imposes an evolution of the EEG: As a result of the introduction of binding sales of the EEG-current on the EPEX, spot market prices are lowered due to the renewables-induced merit-order-effect. As feed-in-tariffs are taken in charge through these spot market revenues and the remaining monetary EEG-allocation, there is an intrinsic mechanism leading to higher amounts per kWh to be borne by end users. The authors propose a new mechanism intended to decouple monetary EEG-allocation from spot market revenues forming a first milestone of the necessary transformation of the marginal-cost-based electricity market towards a renewables-based electricity sector.
引用
收藏
页数:5
相关论文
共 50 条
  • [11] Optimum Allocation of Reactive Power in Real-Time Operation under Deregulated Electricity Market
    Rajabzadeh, Mahdi
    Golkar, Masoud A.
    JOURNAL OF ELECTRICAL ENGINEERING & TECHNOLOGY, 2009, 4 (03) : 337 - 345
  • [12] A Real-Time Electricity Price Forecasting Based on the Spike Clustering Analysis
    He, Dawei
    Chen, Wei-Peng
    2016 IEEE/PES TRANSMISSION AND DISTRIBUTION CONFERENCE AND EXPOSITION (T&D), 2016,
  • [13] Real-time electricity pricing mechanism in China based on system dynamics
    He, Yongxiu
    Zhang, Jixiang
    ENERGY CONVERSION AND MANAGEMENT, 2015, 94 : 394 - 405
  • [14] Supporting high penetrations of renewable generation via implementation of real-time electricity pricing and demand response
    Roscoe, A. J.
    Ault, G.
    IET RENEWABLE POWER GENERATION, 2010, 4 (04) : 369 - 382
  • [15] Renewable Electricity Real-Time Pricing: Enhancing Grid's Stability Through Demand Side Management
    MEZIATI SABOUR, Kenza
    TOUB, Mohamed
    ANIBA, Ghassane
    2021 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES - ASIA (ISGT ASIA), 2021,
  • [16] A Trading-Based Evaluation of Density Forecasts in a Real-Time Electricity Market
    Bunn, Derek W.
    Gianfreda, Angelica
    Kermer, Stefan
    ENERGIES, 2018, 11 (10)
  • [17] Optimization for Smart Home Electricity Load Based on Real-time Pricing Environment
    Wu, Tianqi
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 984 - 987
  • [18] Demonstration of Market-Based Real-Time Electricity Pricing on a Congested Feeder
    Larsen, Emil Mahler
    Pinson, Pierre
    Le Ray, Guillaume
    Giannopoulos, Georgios
    2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015,
  • [19] A Household Load Priority Scheduling Model Based On Real-Time Electricity Price
    Hu, Bo
    Zhong, Xiao
    Liu, Song
    2015 INTERNATIONAL CONFERENCE ON ADVANCED MECHATRONIC SYSTEMS (ICAMECHS), 2015, : 206 - 211
  • [20] How would real-time electricity pricing affect the Saudi power sector in the long-run?
    Matar W.
    Electricity Journal, 2021, 34 (06):