Managing PV power injection and storage, enabling a larger direct consumption of renewable energy: A case study for the Belgian electricity system

An overall model and scenario for increasing the share of renewable electricity consumption in the Belgium grid is proposed by simulating different PV and home battery capacities. The model is balancing the electricity generation of these renewable sources on an hourly basis with the historical consumption profiles of 2014, 2015, and 2016 to estimate how much renewable energy can be consumed directly. The model considers the problem of potential overloads on the low voltage grid, by limiting with curtailment the total PV injection on the low voltage grid to a level that can be currently sustained. A simple algorithm for grid injection limitation of this curtailment during daytime and nighttime is proposed, with and without the use of batteries. The share of renewable electricity consumption is calculated, investigating the impact of battery sizing and different levels for the power injection limit. Above a certain level, additional battery capacity has no effect. With increasing total PV deployment, the optimal power injection limit is reduced. A realistic and effective deployment scenario for renewable electricity from wind and PV is developed (up to 9 GW wind and 50 GWp PV for the Belgian case). It is possible to reach a share of consumed renewable electricity of almost 50% with a curtailment of 9% without the use of batteries. With higher PV deployment and a minimal amount of home battery capacity (1.5 kWh/kWp), a 70% share of consumed renewable energy is realized, with a curtailment of less than 20%.

[1]  Ayobami Solomon Oyewo,et al.  Solar photovoltaics demand for the global energy transition in the power sector , 2018 .

[2]  David Connolly,et al.  Smart energy and smart energy systems , 2017 .

[3]  Christophe Ballif,et al.  Control algorithm for a residential photovoltaic system with storage , 2017 .

[4]  Daniel M. Kammen,et al.  Energy storage deployment and innovation for the clean energy transition , 2017, Nature Energy.

[5]  Adam Hawkes,et al.  The future cost of electrical energy storage based on experience rates , 2017, Nature Energy.

[6]  Patrick Hendrick,et al.  Photovoltaic self-sufficiency of Belgian households using lithium-ion batteries, and its impact on the grid , 2017 .

[7]  Richard Green Iain Staffell,et al.  “Prosumage” and the British Electricity Market , 2017 .

[8]  Nicholas Good,et al.  Review and classification of barriers and enablers of demand response in the smart grid , 2017 .

[9]  B. Scrosati,et al.  A high-power and fast charging Li-ion battery with outstanding cycle-life , 2017, Scientific Reports.

[10]  Malcolm McCulloch,et al.  Levelized cost of electricity for solar photovoltaic and electrical energy storage , 2017 .

[11]  M. Webber,et al.  The impacts of storing solar energy in the home to reduce reliance on the utility , 2017, Nature Energy.

[12]  Patrick R. Graichen,et al.  Renewables versus fossil fuels – comparing the costs of electricity systems , 2017 .

[13]  Haitham Abu-Rub,et al.  Smart grid customers' acceptance and engagement: An overview , 2016 .

[14]  Pieter Valkering,et al.  Fostering Residential Demand Response through Dynamic Pricing Schemes: A Behavioural Review of Smart Grid Pilots in Europe , 2016 .

[15]  Christian Breyer,et al.  On the role of solar photovoltaics in global energy transition scenarios , 2016 .

[16]  B. Nykvist,et al.  Rapidly falling costs of battery packs for electric vehicles , 2015 .

[17]  Patrick R. Graichen,et al.  What if ... there were a nationwide rollout of PV battery systems ? A preliminary assessment , 2015 .

[18]  H. Madsen,et al.  Benefits and challenges of electrical demand response: A critical review , 2014 .

[19]  A. Zucker,et al.  Optimum sizing of PV-attached electricity storage according to power market signals – A case study for Germany and Italy , 2014 .

[20]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[21]  Eberhard Waffenschmidt,et al.  Dimensioning of Decentralized Photovoltaic Storages with Limited Feed-in Power and their Impact on the Distribution Grid , 2014 .

[22]  Pieter Valkering,et al.  How to engage end-users in smart energy behaviour? , 2014 .

[23]  Yi Cui,et al.  Copper hexacyanoferrate battery electrodes with long cycle life and high power. , 2011, Nature communications.

[24]  Chaoyang Wang,et al.  Cycle-Life Characterization of Automotive Lithium-Ion Batteries with LiNiO2 Cathode , 2009 .

[25]  J. Iyer,et al.  A report on , 2008 .