Risk-averse maintenance scheduling of generation units in combined heat and power systems with demand response.

• Maintenance scheduling of generation units in a CHP-integrated system with demand response. • Impact analysis of risk management in the maintenance mechanism. • Decision making under market uncertainty for maintenance scheduling. • Coordination of long-term maintenance scheduling and short-term maintenance energy management. • Scenario-based stochastic modeling of the mixed-integer non-linear maintenance programming problem. The periodic outage planning of generation units for maintenance services is critical for their economic operation. Ignoring it can lead to premature degradation, high repair costs, and system reliability deterioration due to unexpected outages. Accordingly, generation maintenance scheduling (GMS) can optimally handle this challenge. In a power system with combined heat and power (CHP), although CHP units can efficiently supply power and heat demand, continuous operation of such units can cause an increase in unexpected failure rate and repair costs. Accordingly, this research accomplishes GMS coordination in CHP-integrated energy systems to optimally determine the maintenance plan of units. Firstly, the yearly GMS is planned and then the short-term generation scheduling is optimized. The proposed GMS problem is modeled as a mixed-integer nonlinear programming problem while considering the technical constraints, CHP feasible operation region, and power and heat balance. Moreover, the uncertainty in the market price is considered and the CVaR measure is employed to deal with the risks in the GMS. Furthermore, demand response is also assumed in the short-term generation scheduling while evaluating the impact of the yearly GMS. Numerical simulations with scenario-based optimization are used to evaluate the proposed CHP GMS problem with uncertainty in market price. [ABSTRACT FROM AUTHOR]