Well-Being Analysis of Power Systems Considering Increasing Deployment of Gas Turbines

Abstract

With the significant decrease in natural gas prices in many parts of the world, the employment of gas turbine (GT) units has increased steadily in recent years. The ever-increasing deployment of GT units is strengthening the interconnections between electric power and natural gas systems, which could provide a higher level of operational flexibility and reliability. As a result, the planning and operation issues in the interconnected electric power and natural gas systems have aroused concern. In these circumstances, the impacts of increasing deployment of GT units in power system operation are studied and evaluated through well-being analysis (WBA). The fast responsive characteristics of GT units are analyzed first, and the definition and adaption of WBA in a power system with increasing deployment of GT units are addressed. Then the equivalent reserve capacity of GT units is estimated, taking demand fluctuations, commitment plans, and operational risks of GT units into account. The WBA of a power system with increasing deployment of GT units is conducted considering the uncertainties of system operation states and renewable energy sources. Finally, the proposed methods are validated through an integrated version of the IEEE 118-bus power system and a 10-bus natural gas system, and the impacts of GT units on power system security under various penetration levels are examined. Simulation results demonstrate that the role of a GT unit as a low-cost electricity producer may conflict with its role as a reserve provider, but through maintaining a proper proportion of idle GT capacities for reserve, the well-being performance of the power system concerned can be significantly improved.

Reliability-Based Thermal and Wind Units Economic Dispatch in Presence of DSRP

“…In this section, achieved simulation results for SR and load profile with the proposed reliability-based two-stage model have been compared with the proposed models in [29]. All inputs for the two models are assumed similar, after running their codes, simulation results for comparison of the regulated load profile have been shown in Figures (17) As can be seen in figure (17), curves with red and green colors are regulated load profiles using two models, and curve with blue color is the system's daily load profile.…”

“…The probability of a TU's unavailability considering single contingencies is according to Equation (28). The probabilistic tree method generates the generation scenarios of WTs based on their probability distribution function according to Equation (29). Often, load shedding is occurred due to a lack of generation capacity after SR activation and participation of RLs in each abnormal condition as Equation (30)…”

“…WBA of generating systems considering charging of EVs has been modeled in [28]. In [29], the impacts of increasing deployment of GT units in power system operation are studied and evaluated using WBA. In this investigation, WBA is conducted considering the uncertainties of system operation states and renewable energy sources.…”

Reliability analysis of an active distribution network integrated with solar, wind and tidal energy sources

“…The well-being approach has found many applications in reliability studies. [29][30][31][32] However, this approach cannot alone incorporate the intermittent or derated states of RESs. Derated states can be modeled in "Markov framework" only.…”

“…These limitations can be alleviated by using the well‐being approach, which bridges the gap between the probabilistic and deterministic approaches. The well‐being approach has found many applications in reliability studies 29‐32 . However, this approach cannot alone incorporate the intermittent or derated states of RESs.…”