Abstract
This paper introduces a transactive market design for a combined heat and power (CHP) based energy hub (hub). The proposed model allows a hub operator to supply the hub’s demands by participating in the day-ahead market and a transactive market with CHPs and also in the real-time market by using a recursive moving window algorithm. The proposed local energy market for a hub operator and CHPs is based on the double auction P2P trading mechanism. The model develops an optimal bidding and offering strategies for CHPs and hub operators, respectively, to achieve optimal transactions. The CHPs may be equipped with boiler unit and heat buffer tank (HBT) beside CHP units. The uncertain nature of the hub’s electrical load, real-time and day-ahead markets prices and wind speed is addressed by using robust optimization. The procedure aimed at minimizing the worst-case CHP-based hub’s demand procurement cost even though flexibly regulating the solution robustness. Further, case studies investigate the economic impact of robustness on the hub’s cost.
Highlights
Energy hubs with an electrical and thermal network can utilize distributed energy sources in a reliable and secure manner
Alipour et al.: Designing Transactive Market for combined heat and power (CHP) Management in Energy Hubs hub operator is the leader and PV prosumers act as followers
This paper develops a robust optimization model for electrical and thermal energy trading in which a double auction mechanism is introduced for independent CHPs and the hub operator
Summary
Energy hubs with an electrical and thermal network can utilize distributed energy sources in a reliable and secure manner. M. Alipour et al.: Designing Transactive Market for CHP Management in Energy Hubs hub operator is the leader and PV prosumers act as followers. The multi-party CHP energy management in hubs considering a demand response program is studied in [22] in which the trading between the hub and its consumers is modeled as a one-leader, N-follower Stackelberg game. In [23], a multi-follower bilevel programming approach is proposed for optimal energy management of CHP-based hubs considering the hub operator and various CHP units as agents. This paper develops a robust optimization model for electrical and thermal energy trading in which a double auction mechanism is introduced for independent CHPs and the hub operator.
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