Congestion management via increasing integration of electric and thermal energy infrastructures
Alvaro Gonzalez-Castellanos, Priyanko Guha Thakurta, and Aldo Bischi

TL;DR
This paper presents a MILP optimization model for congestion management by integrating electric and thermal infrastructures, leveraging CHP units, thermal storage, and P2H to enhance grid flexibility and efficiency.
Contribution
It introduces a detailed MILP model that characterizes CHP units' heat and power outputs as functions of independent variables, enabling effective congestion management in integrated energy systems.
Findings
CHP units can effectively help manage electrical congestion.
Integrated electric-thermal systems increase grid flexibility.
The model demonstrates benefits using IEEE 24 bus system simulations.
Abstract
Congestion caused in the electrical network due to renewable generation can be effectively managed by integrating electric and thermal infrastructures, the latter being represented by large scale District Heating (DH) networks, often fed by large combined heat and power (CHP) plants. The CHP plants could further improve the profit margin of district heating multi-utilities by selling electricity in the power market by adjusting the ratio between generated heat and power. The latter is possible only for certain CHP plants, which allow decoupling the two commodities generation, namely the ones provided by two independent variables (degrees-of-freedom) or by integrating them with thermal energy storage and Power-to-Heat (P2H) units. CHP units can, therefore, help in the congestion management of the electricity network. A detailed mixed-integer linear programming (MILP) optimization model…
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