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An algorithm for the detection and frequency estimation of periodic forced oscillations in power systems is proposed. The method operates by comparing the periodogram of synchrophasor measurements to a detection threshold. This threshold is established by deriving a general expression for the distribution of the periodogram and is related to the algorithm's probabilities of false alarm and detection...
Classical unit commitment (UC) algorithms may be extremely time-consuming when applied to large systems and for long term simulations (for instance, a year) and may not consider all the features required for flexibility assessment, including analysis of different reserve types. In this light, this paper presents a novel flexibility-oriented unified formulation of a large-scale scheduling model considering...
This paper presents an approach for integrated generation and transmission maintenance scheduling model (IMS) that takes into consideration N-1 contingencies. The objective is to maximize the maintenance preference of facility owners while satisfying N-1 security and other constraints. To achieve this goal, Benders decomposition is employed to decompose the problem into a master problem and several...
This paper proposes a parallel multimodal optimization algorithm that is combined with electromagnetic transient simulation in a platform that unifies the setup, test, and execution of optimal designs for power systems. The algorithm speeds up the design of power systems as its computations can be executed independently on a highly parallelized environment. Additional speedup is achieved by using...
The adoption of residential-scale low carbon technologies, such as photovoltaic panels or electric vehicles, is expected to significantly increase in the near future. Therefore, it is important for distribution network operators (DNOs) to understand the impacts that these technologies may have, particularly, on low voltage (LV) networks. The challenge, however, is that these LV networks are large...
We propose a model of a battery switching station (BSS) for electric buses (EBs) that captures the predictability of bus operation. We schedule battery charging in the BSS so that every EB arrives to find a battery ready for switching. We develop an efficient algorithm to compute an optimal schedule. It uses dual decomposition to decouple the charging decisions at different charging boxes so that...
This paper studies the general problem of operating energy storage under uncertainty. Two fundamental sources of uncertainty are considered, namely the uncertainty in the unexpected fluctuation of the net demand process and the uncertainty in the locational marginal prices. We propose a very simple algorithm termed Online Modified Greedy (OMG) algorithm for this problem. A stylized analysis for the...
One of the most challenging problems associated with operation of Smart Micro-Grids is the optimal energy management of residential buildings with respect to multiple and often conflicting objectives. In this paper, a multi-objective mixed integer nonlinear programming model is developed for optimal energy use in a smart home, considering a meaningful balance between energy saving and a comfortable...
This two-part paper considers the coordination of a population of thermostatically controlled loads (TCLs) with unknown parameters to achieve group objectives. The problem involves designing the bidding and market clearing strategy to motivate self-interested users to realize efficient energy allocation subject to a peak energy constraint. The companion paper (Part I) formulates the problem and proposes...
With an ability to manage solar PV variability in one side and high capital investment in the other, Battery Energy Storage System (BESS) is considered as a critical asset in a PV plant. It is therefore essential to meticulously track the use of BESS in day to day operation and the resulting degradation of life. Due to the intermittent nature of BESS operation as an effect of PV variability, determination...
This two-part study first proposes the Generalized DC (GDC) power flow formulation which makes critical enhancements to the DC model by addressing its model limitations, with abilities to approximate bus voltage magnitudes and model networks with high resistance to reactance (R/X) ratio. Then, the GDC is applied to the current RTO electricity market clearing algorithms to model bus voltage security...
Statistical machine learning methods based on operational data are believed to have high potentials to solve the mismatch problems in power system models, vis-à-vis the real time operational conditions. As a fundamental tool in the field of situational awareness, the instantaneous sensitivity identification (ISI) using data driven methods also raises with high expectations, but in reality, it suffers...
This paper proposes a new control algorithm for optimally reshaping distributed generation (DG) output impedance so that the system damping and bandwidth are maximized. Such impedance reshaping is essential for managing variations in grid impedance and changes in DG operating conditions. The proposed control algorithm involves two design stages. First, the multivariable DG output impedance is derived...
Utilities have recently installed phasor measurement units (PMUs) in their systems. In the control room, massive amounts of data come in from PMUs, but it is hard to utilize in real-time. Situational awareness and event detection are necessary to avoid cascading outages. Tangible algorithms need to be implemented in order to make this abundant data useful to a system operator. Several events cause...
Distribution network reconfiguration is a complex and discrete nonlinear combinatory optimization problem. In this paper, an adaptive harmony search algorithm based on positive feedback (PFAHSA) is proposed to solve the problem for reducing power loss in distribution systems. The PFAHSA incorporates a local optimal method based on positive feedback mechanism into traditional harmony improvising criteria...
FERC order 755 and FERC order 784 provide pay-for-performance requirements and direct utilities and independent system operators to consider speed and accuracy when purchasing frequency regulation. Independent System Operators (ISOs) have differing implementations of pay-for-performance. This paper focuses on the PJM implementation. PJM is a regional transmission organization in the northeastern United...
This paper presents the forecasting algorithms for determining the electricity usage and operation status of residential heating, ventilating, and air conditioning (HVAC) systems. Two algorithms are presented based on what types of measured data can be received by the home energy management system (HEMS). Algorithm 1 is developed assuming only HVAC status is available to forecast the future HVAC usage...
The Icelandic power system is characterized by two areas that oscillate against each other during stressed system operation, and may lead to an islanding of system. Conventional stabilizing methods are being used to their full capacity, thus new options are being explored to prevent system break-ups. There is potential in exploiting large industrial loads to enhance system stability. In this paper...
This paper presents an optimal design of the modular multilevel converter (MMC) based LCL DC/DC converter suitable for high voltage direct current (HVDC) systems. The design aims in minimizing the converter total power losses, harmonic pollution, volume and weight. The optimal values for the converter main parameters affecting the above objectives including cell capacitance, operating frequency, and...
In the context of voltage stability, this paper describes a fast algorithm that estimates the maximum loadability point (MLP) of a power system from its power flow equations. First it estimates the load level where each generator reaches its reactive limit, this is done using a quadratic curve fitting technique. After that another quadratic curve is used to estimate the MLP. From two power flow solutions,...
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