TY - JOUR
T1 - A Decentralized Market Model for a Microgrid With Carbon Emission Rights
AU - Mu, Chenggang
AU - Ding, Tao
AU - Zhu, Shanying
AU - Han, Ouzhu
AU - Du, Pengwei
AU - Li, Fangxing
AU - Siano, Pierluigi
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2023/3/1
Y1 - 2023/3/1
N2 - Carbon emission rights (CER) are a market mechanism adopted to reduce carbon dioxide emissions. In this paper, a decentralized market model integrating electricity and CER trading is established for a microgrid. The proposed trading model not only satisfies the demand for transactions but also ensures the constraint of total carbon emissions for the microgrid. Energy storage (ES) is introduced to balance loads more economically, and the constraint specifying that the ES cannot be simultaneously charged and discharged is proven to be satisfied automatically, ensuring the convexity of the model. Furthermore, by inserting local trackers to global constraints for each node, a scalable fully distributed algorithm is designed to solve the model locally for both global equality and inequality constraints. The proposed algorithm decomposes the arithmetic demand to each user without intermediate agents, which can effectively reduce the cost and ensure the transparency of trading. The algorithm is also proven to be convergent. Numerical results verify the effectiveness of the proposed market model.
AB - Carbon emission rights (CER) are a market mechanism adopted to reduce carbon dioxide emissions. In this paper, a decentralized market model integrating electricity and CER trading is established for a microgrid. The proposed trading model not only satisfies the demand for transactions but also ensures the constraint of total carbon emissions for the microgrid. Energy storage (ES) is introduced to balance loads more economically, and the constraint specifying that the ES cannot be simultaneously charged and discharged is proven to be satisfied automatically, ensuring the convexity of the model. Furthermore, by inserting local trackers to global constraints for each node, a scalable fully distributed algorithm is designed to solve the model locally for both global equality and inequality constraints. The proposed algorithm decomposes the arithmetic demand to each user without intermediate agents, which can effectively reduce the cost and ensure the transparency of trading. The algorithm is also proven to be convergent. Numerical results verify the effectiveness of the proposed market model.
KW - Carbon emission rights
KW - decentralized market model
KW - distributed algorithm
KW - energy storage
KW - microgrid
UR - https://www.scopus.com/pages/publications/85132536538
U2 - 10.1109/TSG.2022.3173520
DO - 10.1109/TSG.2022.3173520
M3 - 文章
AN - SCOPUS:85132536538
SN - 1949-3053
VL - 14
SP - 1388
EP - 1402
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 2
ER -