Title of article
Optimizing biogas plants with excess power unit and storage capacity in electricity and control reserve markets
Author/Authors
Hochloff، نويسنده , , Patrick D. Braun، نويسنده , , Martin، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
11
From page
125
To page
135
Abstract
Increasing shares of intermittent power sources such as solar and wind will require biomass fueled generation more variable to respond to the increasing volatility of supply and demand. Furthermore, renewable energy sources will need to provide ancillary services. Biogas plants with excess generator capacity and gas storages can adapt the unit commitment to the demand and the market prices, respectively. This work presents a method of day-ahead unit commitment of biogas plants with excess generator capacity and gas storage participating in short-term electricity and control reserve markets. A biogas plant with 0.6 MW annual average electric output is examined in a case study under German market conditions. For this biogas plant different sizes of the power units and the gas storage are compared in consideration of costs and benefits of installing excess capacity. For optimal decisions depending on prices, a mixed-integer linear programming (MILP) approach is presented.
sults show that earnings of biogas plants in electricity markets are increased by additional supplying control reserve. Furthermore, increasing the installed capacity from 0.6 MW to 1 MW (factor 1.7) leads to the best cost–benefit-ratio in consideration of additional costs of excess capacity and additional market revenues. However, the result of the cost–benefit-analysis of installing excess capacity is still negative. Considering the EEG flexibility premium, introduced in 2012 in the German renewable energy sources act, the result of the cost–benefit-analysis is positive. The highest profit is achieved with an increase of the installed capacity from 0.6 MW to 2 MW (factor 3.3).
Keywords
Gas storage , ancillary services , Biogas plants , Electricity market , mixed-integer linear programming , Unit Commitment
Journal title
Biomass and Bioenergy
Serial Year
2014
Journal title
Biomass and Bioenergy
Record number
1919495
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