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This paper proposes a new transmission-constrained unit commitment method that combines the cost-efficient but computationally demanding stochastic optimization and the expensive but tractable interval optimization techniques to manage uncertainty on the expected net load. The proposed hybrid unit commitment approach applies the stochastic formulation to the initial operating hours of the optimization...
The potential for cascading failure in power systems adds substantially to overall reliability risk. Monte Carlo sampling can be used with a power system model to estimate this impact, but doing so is computationally expensive. This paper presents a new approach to estimating the risk of large cascading blackouts triggered by multiple contingencies. The method uses a search algorithm (Random Chemistry)...
Power system protection schemes are verified today using Monte-Carlo simulation and manual interpretation of results. The limitation of such verification technique is uncertainty of complete coverage of all possible operating conditions due to the time complexity of simulation. In this two part paper, an automated simulation based verification technique is proposed to verify correctness of protection...
This paper presents measurements of harmonic and interharmonic current (with 5 Hz frequency resolution) in the complex plane. The complex currents are spread around a center point. For interharmonics this center corresponds with the origin of the complex plane. For integer harmonics this center is off-set from the origin. A goodness-of-fit test reveals that phase angles of most interharmonics are...
The smart grid vision has resulted in many demand side innovations such as nonintrusive load monitoring techniques, residential micro-grids, and demand response programs. Many of these techniques need a detailed residential network model for their research, evaluation, and validation. In response to such a need, this paper presents a sequential Monte Carlo (SMC) simulation platform for modeling and...
This paper proposes an efficient method for evaluating composite system reliability via subset simulation. The central idea is that a small failure probability can be expressed as a product of larger conditional probabilities, thereby turning the problem of simulating a rare failure event into several conditional simulations of more frequent intermediate failure events. In existing methods, system...
This paper presents a state estimator based on the use of a particle filter (PF). Unlike other types of filters, a PF is suitable for both nonlinear systems and non-Gaussian error distributions. The proliferation of distributed energy resources such as distributed generators and controllable loads has been accompanied by a high degree of uncertainty because the lack of sensors necessitates the use...
The adoption of on-load tap changer (OLTC)-fitted transformers in low voltage (LV) networks is increasingly being considered to mitigate voltage issues resulting from high penetrations of photovoltaic (PV) systems. However, depending on the corresponding voltage control strategy, tap operations can be significant, accelerating the ageing of the OLTC. This work assesses the performance of different...
This paper presents a new methodology for long-term transmission planning over large systems. The developed approach aims at finding the optimal design of a large grid including its modular development plan over a long time horizon. Advanced optimization and simulation methods have been investigated to tackle this very large and complex problem, which includes highly combinatorial aspects and stochastic...
Due to the rapid change of wind power, limit prediction cycle and severe uncertainty, wind power ramp events raise new challenges to the power system with high penetration of wind power. In order to reduce the risk and scheduling cost, an IGDT-based intraday scheduling strategy method is proposed in this paper. The wind farm cost caused by prediction errors is analyzed and taken into account as part...
In this paper, a new concept of participation factors is used to investigate the presence of the voltage fluctuations induced by the electromechanical oscillations in systems with distributed generation. Unlike the originally proposed participation factors (which will be called traditional participation factors), the extended participation factors is calculated taking into account a set of initial...
Adopting on-load tap changer (OLTC)-fitted transformers in low voltage (LV) networks can be a potential solution to counteract voltage rise caused by high penetrations of residential photovoltaic (PV) systems. To efficiently control the OLTC network monitoring might be considered. This work assesses the performance of a proposed OLTC control logic considering different remote monitoring schemes and...
Paper presents practical experience in evaluating adequacy of generating capacity by different regions in the Western interconnection. This includes analysis of uncertainties associated with load, intermittent energy sources and forced and maintenance outages on generating units and transmission facilities. The paper is a joint effort by the utility industry and Western Electricity Coordinating Council...
This paper studies the fundamental coupling between individual load levels and locational marginal prices in security constrained economic dispatch. The concepts of system pattern and system pattern region (SPR) are introduced for the analysis. Theoretical investigation suggests that SPRs are disjoint, convex, and separable sets and there exists separating hyperplanes among SPRs. Furthermore, the...
This paper presents a framework and methodology to estimate the possible states of Electric Vehicles (EVs) regarding their location and periods of connection in the grid. A Monte Carlo Simulation (MCS) is implemented to estimate the probability of occurrence of these states. The framework assumes the availability of Information and Communication Technology (ICT) technology and previous data records...
Generating capacity adequacy studies play a significant role in long term capacity planning. Risks of capacity deficits are usually reported in the form of one or more average quantities, which cannot fully convey the nature of the risks being faced. Chronological Monte Carlo simulations may be used to construct comprehensive multi-dimensional risk profiles, but such profiles tend to be difficult...
❖ This paper presents a new probabilistic methodology based on Chronological Monte Carlo Simulation for sizing inventories of distribution substation spare transformers.
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