Abstract:Abstract-Large scale integration of fluctuating and nondispatchable generation and variable transmission patterns induce high uncertainty in power system operation. In turn, transmission system operators (TSOs) need explicit information about available flexibility to maintain a desired reliability level at a reasonable cost. In this paper, locational flexibility is defined and a unified framework to compare it against forecast uncertainty is introduced. Both metrics are expressed in terms of ramping rate, powe… Show more
“…Operational flexibility is the capability of the EPS to absorb disturbances for maintaining a secure operating state. Locational flexibility is the operational flexibility at the given bus in the grid [2].…”
This paper deals with actively studied terms "flexibility" and "resiliency" of electric power systems (EPS). Definitions and content of these new fundamental EPS properties are analysed. Objective trends in development of EPS with regard to these properties are discussed. Possible measures for improving flexibility and resiliency of EPS are suggested.
“…Operational flexibility is the capability of the EPS to absorb disturbances for maintaining a secure operating state. Locational flexibility is the operational flexibility at the given bus in the grid [2].…”
This paper deals with actively studied terms "flexibility" and "resiliency" of electric power systems (EPS). Definitions and content of these new fundamental EPS properties are analysed. Objective trends in development of EPS with regard to these properties are discussed. Possible measures for improving flexibility and resiliency of EPS are suggested.
“…A model of a node with ESs that can be used for quantifying the EPS flexibility is proposed in Ref. [14,15]. Dynamic behavior of some node i with ESs can be approximately represented by a differential discrete in time first-order equation:…”
Section: Model Of a Node With Ess For Steady State Calculation And Esmentioning
confidence: 99%
“…Methodology of flexibility quantification for individual nodes of RES with ES and the network as a whole is proposed in [15]. For the purpose of quantification they introduce two notions: 1) Functional (operational) flexibility is ability of an energy system to absorb disturbances to be able to maintain steady-state operability; and 2) Territorial (localized) flexibility is functional flexibility available in a specific node of the network.…”
Section: Quantification Of Flexibility Of a Network With Essmentioning
When planning and managing the present-day and future transformed electric power systems (EPS), such comparatively new properties as flexibility and cyber resilience shall be taken into account along with EPS conventional properties, such as Reliability, Security, Survivability, and Vulnerability. Large-scale introduction of renewable energy sources notably lowers the EPS flexibility. Installation of Energy Storages allows compensation of power production imbalance occurred when using renewable energy sources, which makes the energy system more robust, but lowers its cyber security. The paper considers the main performances and models of Energy Storages, their impact on flexibility and cyber security of electric networks; it also presents the technique for quantifying the flexibility of a network with Energy Storages, and identifies most promising directions of studies in this area.
“…The availability of operational flexibility can be studied via the existence of feasible operation strategies. In [5] and [26], operational flexibility is the ability of the power system to react to a disturbance to keep the system secure. The available flexibility, considering the ramping, capacity, and energy of dispatchable generators, transmission constraints in DC power flow, and N-1 reliability criterion, is described as a polyhedron entitled "flexibility set", or "reach set" in [27].…”
Section: A Related Workmentioning
confidence: 99%
“…where ρ is a vector of a sufficiently large number (e.g., 1E4) with the compatible size. If ρ T (s 1 + s 2 ) → 0 by solving (26), a worst-case realization ofd, which leads to a feasible SP in (20), is generated. Otherwise, a worst-case realization ofd leading to an infeasible SP in (20) is identified.…”
Section: Appendix Reformulation Of Sp Into Milpmentioning
Rapid growth of renewable energy sources (RES) in the generation capacity mix poses substantial challenges on the operation of power systems in various time scales. Particularly in the intra-hour time scale, the interplay among variability and uncertainty of RES, unexpected transmission/generation outages, and short dispatch lead time cause difficulties in generationload balancing. This paper proposes a method to quantify the intra-hour flexibility region. A robust security-constrained multiperiod optimal power flow (RSC-OPF) model is first constructed to quantify the frequency, magnitude, and intensity of insufficient flexibility. The randomness of RES is captured by uncertainty sets in this model. The N-k contingency, spinning reserve, and corrective control limit constraints are included. This model is then cast into a two-stage robust optimization (RO) model and solved by the column-and-constraint generation (C&CG) method. The emergency measures with a least number of affected buses are derived and subsequently assessed by the post-optimization sensitivity analysis. Finally, the operational flexibility region is determined by continuous perturbation on the RES penetration level and the forecast error. The IEEE 14-bus system and a realistic Chinese 157-bus system are used to demonstrate the proposed method.
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