Hybridization of existing wind power plants with solar photo-voltaic and Li-Ion batteries
03 HYB24-21
Presented by: Juan Pablo Murcia Leon
As renewable generation increases its share in the energy mix in Europe, it is expected that wind plants will transition from fixed power purchase agreements (PPA) towards a participation in the spot electricity market. Wind plants will need to change their design objective from minimization of cost of energy to a maximization of the project's profitability when generating revenue on the spot market. Traditional wind will be challenged in countries like Denmark with a large level of wind penetration, because the price of electricity decreases with wind generation.
Hybridization of existing wind power plants consist in at least one of the following actions: (1) expanding its generation with solar photo-voltaic (PV) to break the negative correlation between wind and electricity price, and (2) installing battery energy storage (BES) to be able to sell the generation at more profitable times.
We formulate the hybridization as a Hybrid power plant (HPP) sizing optimization problem using HyDesign. HyDesign is an open-source tool for HPP design that solves HPP sizing as a nested optimization. An external sizing that maximizes the profitability index (PI) and an internal Energy Management System (EMS) that operates the battery. HyDesign consists of sub-models focused on predicting the performance of the components such as: wind generation model, PV generation model, degradation models, EMS model, costs models and financial model.
The model of hybridization of a wind plant adds the following new components to HyDesign: (1) A detailed model of the existing wind power plan that predicts the wind generation time-series. This models uses the turbine information (power and thrust coefficient curves) and wind turbine layout. (2) A flexible cash-flow hybridization financial model able to reflect the hybridization investments on the specific year they occur. (3) Updates on the generation and EMS models, in order to reflect the delayed start of operation of the new technologies.
The Danish HPP plant Nørhede-Hjortmose is used as a study case. It consists of 72.6MW wind plant and 15.2MW of PV. The study focuses on determining the costs of PV and BES that makes hybridization profitable under three levels of mixture of electricity-PPA with current spot prices or future expected spot prices. Three different scenarios of hybridization are considered: (A) Wind plus PV, (B) Wind plus BES, and (C) Wind plus PV and BES. The hybridization sizing optimization consist on finding the combination of PV and BES (power and energy) capacities and the year of hybridization that maximizes the PI.
The results show that under a full electricity-PPA, hybridization is not profitable because under a PPA the optimization chooses to invest only on the generation source with lowest LCOE. Hybridization ca be profitable for combinations of PPA and spot for the cheapest PV and BES scenarios. While the full PV plus BES hybridization occurs only for full spot-market-based revenues.
Hybridization of existing wind power plants consist in at least one of the following actions: (1) expanding its generation with solar photo-voltaic (PV) to break the negative correlation between wind and electricity price, and (2) installing battery energy storage (BES) to be able to sell the generation at more profitable times.
We formulate the hybridization as a Hybrid power plant (HPP) sizing optimization problem using HyDesign. HyDesign is an open-source tool for HPP design that solves HPP sizing as a nested optimization. An external sizing that maximizes the profitability index (PI) and an internal Energy Management System (EMS) that operates the battery. HyDesign consists of sub-models focused on predicting the performance of the components such as: wind generation model, PV generation model, degradation models, EMS model, costs models and financial model.
The model of hybridization of a wind plant adds the following new components to HyDesign: (1) A detailed model of the existing wind power plan that predicts the wind generation time-series. This models uses the turbine information (power and thrust coefficient curves) and wind turbine layout. (2) A flexible cash-flow hybridization financial model able to reflect the hybridization investments on the specific year they occur. (3) Updates on the generation and EMS models, in order to reflect the delayed start of operation of the new technologies.
The Danish HPP plant Nørhede-Hjortmose is used as a study case. It consists of 72.6MW wind plant and 15.2MW of PV. The study focuses on determining the costs of PV and BES that makes hybridization profitable under three levels of mixture of electricity-PPA with current spot prices or future expected spot prices. Three different scenarios of hybridization are considered: (A) Wind plus PV, (B) Wind plus BES, and (C) Wind plus PV and BES. The hybridization sizing optimization consist on finding the combination of PV and BES (power and energy) capacities and the year of hybridization that maximizes the PI.
The results show that under a full electricity-PPA, hybridization is not profitable because under a PPA the optimization chooses to invest only on the generation source with lowest LCOE. Hybridization ca be profitable for combinations of PPA and spot for the cheapest PV and BES scenarios. While the full PV plus BES hybridization occurs only for full spot-market-based revenues.