Abstract
The line random failure caused by multiple uncertainties has become a non-negligible factor which influences the safe operation of power systems. In this paper, a risk-based coordination model of maintenance scheduling and unit commitment is established and the objective is to minimize the total operation cost consisting of the maintenance cost, generation cost and risk cost. A random generation method is proposed to obtain line failure scenarios based on arbitrary failure rate functions. In the base case, security constraints must be satisfied while the potential overflow caused by line outages is calculated in contingency scenarios. In order to handle this mixed integer quadratic programming, a solving strategy based on three-layer iterations is applied. In the exterior iterative layer, Lagrangian relaxation technology is used to coordinate the maintenance scheduling and the risk-based unit commitment until the maintenance schedule is available for the optimized unit commitment plan. In other two iterative layers, Benders decomposition method is adopted to the further problem decomposition. In the middle layer, iterations between the unit commitment sub-problem and the risk-based dispatch sub-problem are used to guarantee the optimality of risk-based unit commitment. In interior iterations, the feasibility of unit commitment plan is checked by an optimal load shedding model. Case studies are performed on a 6-bus test system and a 118-bus test system. Results show that the total operation cost decreases by coordination while the system operating risk can be effectively controlled.
Highlights
The maintenance scheduling, unit commitment and economic dispatch are three core tasks of decision-making in the operation of power systems
SOLVING STRATEGY BASED ON THREE-LAYER ITERATIONS According to the detailed description about the coordinated optimization model of maintenance scheduling and unit commitment, it constitutes a mixed integer quadratic programming
In order to study the influence of the coordination between unit commitment and maintenance scheduling and the consideration of operating risk on the security and economy of power systems, optimized results by following three models are compared
Summary
The maintenance scheduling, unit commitment and economic dispatch are three core tasks of decision-making in the operation of power systems. X. Lou et al.: Risk-Based Coordination of Maintenance Scheduling and Unit Commitment in Power Systems line outage distribution factors were applied. In [18] and [19], coordination models of the maintenance outage scheduling and security-constrained unit commitment have been proposed from the short-term and midterm, respectively. Simulation results verified their advantage in the reduction of blackout chance. In this paper a risk-based coordination model of the maintenance scheduling and unit commitment in power systems is proposed. 2) A risk-based coordination model of the unit commitment and midterm maintenance scheduling for units and lines is established to minimize the total operation cost of power systems.
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