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This paper proposes a comprehensive solution methodology for the pricing difficulty when Lagrange multipliers are not unique. A linear optimization model is proposed to solve the congestion-related pricing difficulty. The objective function of the model is set to be minimizing the congestion surplus. In addition, an incentive-based allocation approach is incorporated in the solution procedure for...
In this paper, a novel solution method is proposed for the optimal topology control problem in AC framework with N-1 reliability. The resultant new topology of the proposed method is guaranteed to yield a better objective function value than the global solution of the problem with the original topology. In order to prove our statement, semi-definite programming relaxation is formulated to find a lower...
Generation Capacity Expansion Planning (GCEP) is the process of deciding on a set of optimal new investments in generation capacity to adequately supply future loads, while satisfying technical and reliability constraints. This paper shows the application of Stochastic Mixed-Integer Programming (SMIP) to account for hydrological uncertainty in GCEP for the Chilean Central Interconnected System, using...
This paper presents a novel modeling framework for the analysis of Plug-in Electric Vehicle (PEV) charging in unbalanced, residential, distribution systems. A Smart Distribution Power Flow (SDPF) framework is proposed to determine the controlled or smart charging schedules and hence address the shortcomings of uncontrolled charging. The effect of peak-demand constraint imposed by the Local Distribution...
Reactive power planning or VAR planning is critical to ensure acceptable power quality and system robustness. While addressing var planning, the key issue is optimal allocation i.e. location and size of reactive power sources. Security of power systems is a major concern during contingencies. So, consideration of all plausible contingencies during planning process is important. However, consideration...
Many important problems in power systems, including unit commitment and economic dispatch (UCED), are modeled as MILP problems which are computationally intensive. Such problems can often be viewed as subsystems coupled by system-wide constraints. These structures have been efficiently exploited by surrogate Lagrangian relaxation and branch-and-cut to solve UCED problems with combined cycle units...
This paper deals with the radial distribution system reconfiguration problem in a multi-objective scope, aiming to determine the optimal configuration by means of minimization of active power losses and several reliability indices. A novel way to calculate these indices under a mixed-integer linear programming (MILP) approach is provided. Afterwards, an efficient implementation of the e-constraint...
Wind energy has been playing a critical role in modern electric power system due to the fact that wind is free of cost and environment-friendly. However the inherent intermittency of wind has complicated system operation such as optimal power flow (OPF). In this paper, the authors present a stochastic OPF model integrated with wind power (WOPF). Since WOPF is a highly non-linear and non-convex problem,...
Dynamic var sources can effectively mitigate fault-induced delayed voltage recovery (FIDVR) issues or even voltage collapse. This paper proposes a new approach to optimization of the sizes of dynamic var sources at candidate locations by a Voronoi diagram based algorithm. It first disperses sample points of potential solutions in a searching space, evaluates a cost function at each point by barycentric...
This paper proposes a nonlinear programming (NLP) penalty-based strategy for solving the Volt/Var optimization (VVO) problem in distribution systems, formulated in a mixed integer nonlinear programming (MINLP) form. The VVO consists, basically, in determining the settings of the control variables of switched capacitor banks and on-load tap changer (OLTC) transformers located at substations to minimize...
With increasing penetration of distributed generation in the distribution networks (DN), the secure and optimal operation of DN has become an important concern. In this paper, an iterative quadratic constrained quadratic programming model to minimize voltage deviations and maximize distributed energy resource (DER) active power output in a three phase unbalanced distribution system is developed. The...
A significant role of power market regulator is increasing market efficiency by considering constraints of power system. Thus, a power market regulator implements several regulations to achieve this target. However, the changes in regulations may have undesirable effects on some emerging market players. In this study, effects of changes in spinning reserve market regulations on behavior of demand-side...
Reactive power compensation is used by utilities to ensure customer voltages are within pre-defined tolerances and reduce system resistive losses. While much attention has been paid to model-based control algorithms for reactive power support and Volt Var Optimization (VVO), these strategies typically require relatively large communications capabilities and accurate models. In this work, a non-model-based...
This paper describes the resolution of the optimal reactive dispatch (ORD) problem with respect to voltage magnitudes and taps of on-load tap changing (OLTC) transformers. Although the ORD consists in a large-scale mixed integer nonlinear programming (MINLP) problem due to the discrete nature of some system controls, most papers in technical journals disregard the discrete modeling of such variables...
The accurate detection and location of a fault is crucial for power systems applications such as protective relaying and phasor measurement. As fault signals have unique mathematical expressions, this paper proposes a computational intelligence based method to estimate the parameters of the fault signal towards the minimum difference between the input signal and the reconstructed one. The optimization...
Wind power ramp events (WPREs) have received increasing attention in recent years due to their significant impact on the reliability of power grid operations. In this paper, a novel WPRE forecasting method is proposed which is able to estimate the probability distributions of three important properties of the WPREs. To do so, a neural network (NN) is first proposed to model the wind power generation...
This paper proposes a method to optimally operate microgrids under conditions of uncertainty introduced by renewable energy sources, under both grid connected and islanded mode. Uncertainty is quantified with probability distribution and confidence levels are used to establish likelihood of forecast error. The optimization problem is formulated as a quadratic programming problem and the optimality...
The increasing penetration of plug-in electric vehicles (PEVs) has encouraged solutions for facilitating their utilization. In this regard, PEV parking lots (PLs) have proved to be essential for future systems with high amounts of PEVs. However, operating a PL in order to maximize its profit while enforcing its own constraints generates conflicts between the PL and the distribution system operator...
When power system is subjected to severe disturbances and then will be out of step. The interconnected power grid should be split into several islands to avoid blackout. The controlled islanding is an active control technique based on the information from Wide Area Measurement System (WAMS) to accomplish the islanding task. This paper proposes a fast islanding strategy for large power networks. Firstly,...
Mixed integer programming (MIP) problems are formulated in this paper to model the operation of residential Heating Ventilation and Air-Conditioning Systems (HVAC). The objective is to minimize the total cost of the HVAC energy consumption under varying electricity prices. A simplified model of a space cooling system considering thermal dynamics is adopted. The optimization problems consider 24 hour...
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