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In recent years, the implementation of the demand response (DR) programs in the power system's scheduling and operation is increased. DR is used to improve the consumers' and power providers' economic condition. That said, optimal power flow is a fundamental concept in the power system operation and control. The impact of exploiting DR programs in the power management of the systems is of significant importance. In this paper, the effect of time-based DR programs on the cost of 24-hour operation of a power system is presented. The effect of the time of use and real-time pricing programs with different participation factors are investigated. In addition, the system's operation cost is studied to analyze the DR programs' role in the current power grids. For this aim, the 14-bus IEEE test system is used to properly implement and simulate the proposed approach.
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This content will become publicly available on January 1, 2026
Estimation of Participation Factors for Power System Oscillation From Measurements
In a power system, when the participation factors of generators are computed to rank their participations into an oscillatory mode, a model-based approach is conventionally used on the linearized system model by means of the corresponding right and left eigenvectors. This paper proposes a new approach for estimating participation factors directly from measurement data on generator responses under selected disturbances. The approach computes extended participation factors that coincide with accurate model-based participation factors when the measured responses satisfy an ideally symmetric condition. This paper relaxes this symmetric condition with the original measurement space by identifying and utilizing a coordinate transformation to a new space optimally recovering the symmetry. Thus, the optimal estimates of participation factors solely from measurements are achieved, and the accuracy and influencing factors are discussed. The proposed approach is first demonstrated in detail on a two-area system and then tested on an NPCC 48-machine power system. The penetration of inverter-based resources is also considered.
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- Award ID(s):
- 2329924
- PAR ID:
- 10572162
- Publisher / Repository:
- IEEE
- Date Published:
- Journal Name:
- IEEE Transactions on Industry Applications
- ISSN:
- 0093-9994
- Page Range / eLocation ID:
- 1 to 10
- Subject(s) / Keyword(s):
- Dynamic response Measurement-based approach Participation factors Power system oscillations
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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