Abstract
Risk-based redispatch optimization is proposed as a methodology to support the Transmission System Operator (TSO) with preventive remedial actions obtained by extending the security-constrained unit commitment/economic dispatch with constraints resulting from the risk assessed for the power system. Although being heuristic, the methodology is based on comprehensive dynamic security assessment as time-domain simulations are used, allowing to express the degree of all types of instabilities, e.g., caused by contingencies, in monetary terms. Therefore, the risk is assessed as the expected value of the cost incurred by the TSO. Such an approach forms a new pathway to including risk in planning procedures already used by TSOs. Results obtained for the IEEE39 dynamic power system, with costs assigned to load shedding and generator tripping due to single transmission lines short-circuits, are shown as a reference case.
Highlights
What the authors of this paper consider as a challenge for power system planners is the process of switching from security assessment that is deterministic and independent from the current weather conditions to one utilizing an adaptive stochastic approach
The most accepted security procedure is based on the N-1 criterion, which when integrated with the security-constrained unit commitment/economic dispatch or security-constrained optimal power flow methods (SC UC/ED or SC OPF, respectively) allows one to ensure that the system parameters remain within safety limits after removing one of its elements
The aforementioned methods are understood as follows: SC UC results with a list of committed units taking into account all inter-temporal and network constraints, as well as the N-1 security criterion; SC ED provides operating points for units with respect to those constraints; SC OPF does not take into account inter-temporal constraints while the network constraints and the
Summary
What the authors of this paper consider as a challenge for power system planners is the process of switching from security assessment that is deterministic and independent from the current weather conditions to one utilizing an adaptive stochastic approach. Energies 2020, 13, 716 are designed in order to reduce the risk associated with phenomena caused by generators trips resulting from contingencies Such reduction is performed using the active power redispatch based on an iterative process including the SC UC/ED tool, which is coupled with risk assessment utilizing an adaptive stochastic approach. Such a methodology of risk assessment was thoroughly described and extended in a former paper by the authors [1].
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