Introduction of variable renewable energies (VREs) is proceeding all over the world. However, output fluctuation due to inherent intermittency reduce stability of the power system. Therefore, more spinning reserve is needed for stability of the power system than before. In order to secure spinning reserve efficiently, electricity-adjustment auction was introduced in Japan recently. One candidate for the auction is a District Heating and Cooling system (DHC) with a Combined Heat and Power (CHP). The original use of a DHC is to satisfy regional heat and cold demand. On the other hand, in recent DHCs, CHPs are installed to improve efficiency, therefore, they are able to generate additional electricity and sell it to commercial power system. It means the DHC with CHP has the potential of electricity-adjustment as a large-scale energy resource. In the previous study, the usefulness of the electricity-adjustment by a DHC was evaluated. However, because it was a daily optimal operation planning problem, it was not possible to consider the operation continuity of multiple days. In general, a one-week collective operation plan for DHC is required because of the demand cycle characteristics. However, the mixed integer non-linear programming problem (MINLP) considering the unit commitment (UC) constraints of each device has a huge computational load. Therefore, in this paper, first of all, sufficient conditions to secure the operation continuity for multiple days are focused. Then, in order to reduce the amount of calculation and obtain a solution considering the operation continuity, a partitioning method for the large-scale operation planning problem of a DHC for electricity-adjustment is proposed.
|Translated title of the contribution||Partitioning Method for the Large-scale Operation Planning Problem of a District Heating and Cooling System for Electricity Adjustment|
|Number of pages||10|
|Journal||IEEJ Transactions on Power and Energy|
|Publication status||Published - 2020|
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering