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Although the installed wind generation capacity has grown remarkably over the past decades, percentage of wind energy in electricity supply portfolio is still relatively low. Due to the technical limitations of power system operations, considerable wind generation cannot integrate into the grid but gets curtailed. Among various factors, transmission congestion accounts for a significant portion of...
For a successful rollout of electric vehicles (EVs), it is required to establish an adequate charging infrastructure. The adequate access to such infrastructure would help to mitigate concerns associated with limited EV range and long charging times. Battery swapping stations are poised as effective means of eliminating the long waiting times associated with charging the EV batteries. These stations...
The exceptional benefits of wind power as an environmentally responsible renewable energy resource have led to an increasing penetration of wind energy in today's power systems. This trend has started to reshape the paradigms of power system operations, as dealing with uncertainty caused by the highly intermittent and uncertain wind power becomes a significant issue. Motivated by this, we present...
To handle significant variability in loads, renewable energy generation, as well as various contingencies, (two-stage) robust optimization method has been adopted to construct unit commitment models and to ensure reliable solutions. In this paper, we further explore and extend the modeling capacity of two-stage robust optimization and present two new robust unit commitment variants: the expanded robust...
This article presents a topology for DC grids which enables very robust DC fault protection with moderate costs, good operating flexibility and simple controls. It is postulated that radial DC systems are best suited for limitedsize local DC grids. Radial topology enables robust and fast protection selectivity using only local signals and exploiting the advantages of hybrid DC circuit breakers. To...
This paper presents a novel approach for the transmission network expansion planning under generalized joint generation and transmission n-K security criteria. The proposed methodology identifies the optimal expansion plan while modeling the power system operation under both normal and contingency states. An adjustable robust optimization approach is presented to circumvent the tractability issues...
In this paper, the empirical observability Gramian calculated around the operating region of a power system is used to quantify the degree of observability of the system states under specific phasor measurement unit (PMU) placement. An optimal PMU placement method for power system dynamic state estimation is further formulated as an optimization problem which maximizes the determinant of the empirical...
Integration of renewable energy sources and demand response poses new challenges to system operators as they increase the uncertainty of the power supply and demand. Recently, robust optimization techniques are applied to the unit commitment problem with uncertainty as an alternative to the stochastic programming approaches. However, it remains challenging to solve the robust unit commitment model...
Nowadays, power companies are actively promoting the construction of power quality monitoring system (PQMS). There is a vital need to deal with the large amount of data extracted from PQMS. This paper proposes a novel method of fault location estimation based on the voltage sag records of PQMS. By this method, fault position and fault resistance can be estimated by particle swarm optimization algorithm...
Results from two practical and fast methods to estimate systems' Maximum Loading Point (MLP) using Phasor Measurement Units (PMUs) are used in this paper as initial values for a robust and very efficient method that takes advantage of the geometric characteristics of the maximum loading hyperplane and uses the load flow with step size optimization (LFSSO) technique to estimate the system's proximity...
Conventional centralized dispatch has inherent drawbacks to handle the increasing penetration of distributed generation in distribution systems. This paper discusses a decentralized synergetic dispatch paradigm for prosumer-based interconnected microgrids, in which a prosumer is defined as an autonomous agent that can produce, consume, and store electricity. We consider a double-sided market mechanism...
Distributed storages have been widely used and studied recently, including batteries and demand side resources, with the development of distributed energy resources (DERs). Each distributed storage has small capacity but the number of all distributed storages is very large, so it is not practical for an independent system operator (ISO) to dispatch these distributed storages directly. A storage aggregator...
In this paper a novel approach is proposed to coordinate wind generators and battery energy storage systems (BESS) to provide both energy balancing and frequency regulation services in electricity markets. A robust optimization based model predictive control (RMPC) scheme is developed to determine the optimal bidding strategy for wind and storage, under uncertainty due to electricity price forecast...
In this paper, a distributed multi-agent scheme is presented for reactive power management with renewable energy sources (RESs). The multi-agent system (MAS) framework is developed for distribution systems to improve the stability which is mostly dominated by voltage and the agents in this framework coordinate among themselves using online information and energy flow. In this paper, the agents basically...
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...
Reliability is a major concern for power systems that involve different types of uncertainty, including notably contingencies and intermittent wind generation. Contingency-constrained unit commitment satisfying the “N − 1 rule” is extremely complex, and the issue is now compounded by the drastic increase in intermittent wind generation. This paper develops a novel interval optimization approach for...
With the development and deployment of IEC 61850 based smart substations, cybersecurity vulnerabilities of supervisory control and data acquisition (SCADA) systems are increasingly emerging. In response to the emergence of cybersecurity vulnerabilities in smart substations, a test-bed is indispensable to enable cybersecurity experimentation. In this paper, a comprehensive and realistic cyber-physical...
Cyber security provided by robust power systems state estimation methods is evaluated. Tools and estimators developed in robust statistics theory are exploited. The idea consists in considering redundant robust estimation techniques with different robustness properties to improve the overall detection of attacks and synthesizing a decision making process to determine whether an attack is present or...
This paper compares the performance of five different Distribution System State Estimation (DSSE) methods, using field data taken from a European MV distribution network. The performance of each method is assessed in terms of its solution accuracy, robustness to noise and input measurement uncertainty, and ability to identify bad data and network topology errors. The advantages and disadvantages of...
A smart grid is an interdependent system of its electricity network and data communication network. Failures in either of networks could cause cascading failures to both networks and threaten the stability of the whole smart grid system. The interdependence between a power grid and a communication network can be represented using graph theory as unidirectional or directional inter-edges that connect...
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