Probabilistic Assessment of Atc in the Deregulated Network (original) (raw)
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Evaluation and Analysis of Available Transfer Capability in Deregulated Power System Environment
International Journal of Engineering & Technology
Reliability of network is need of the hour in the present power system market and is constrained by capability of the network. The network calculations are performed using accurate and high efficient strategies. In order to perform power transactions in the system, the computation of available transfer capability is essential which a metric of capability of the system. Generally, effect wattless power is not taken into account in the methodologies for computation of linear available transfer capability. In this paper, a methodology which considers the reactive power flows for enhancement of linear ATC is presented. In order to perform analysis theoretically, a standard IEEE 3 bus system is considered. Another case study i.e., 14 bus system available in IEEE test systems is used for simulation analysis. FACTS technology is incorporated in the existing system in order to enhance capability of the network. To facilitate transfer maximum power in the system, an optimal power-flow-based ...
Deterministic approach Available Transfer Capability (ATC) calculation methods
2016
With the new strategy of deregulation electrical power systems, Available Transfer Capability (ATC) is significant indicator. This paper debate for deterministic methods to compute ATC. Concepts and calculation approaches of Optimal Power Flow (OPF), Continuation Power Flow (CPF) and Power Transfer Distribution Factors (PTDF) has been presented. Cons and prons of each with simulated results are presented using IEEE 30 -bus test systems without any contingences proposed, the results shows efficient results with high performance accuracy
Dynamic available transfer capability computation using a hybrid approach
Iet Generation Transmission & Distribution, 2008
In a restructured electricity market, accurate evaluation of available transfer capability (ATC) with dynamic constraints is a challenging task. An approach to determine dynamic ATC, utilising the benefits of a direct method as well as time-domain simulation method, has been developed. Structure-preserving energy function model, which retains the topology of the network, along with transient stability limit, has been used to compute dynamic ATC for bilateral as well as multilateral transactions in an electricity market. Constant impedance as well as composite models for real power loads have been considered. A new contingency severity index, which takes into account the impact of transactions on the severity of the contingencies, has been proposed to reduce the list of credible contingencies to be considered in determining the ATC. To demonstrate the effectiveness of the proposed method, it has been tested on 10-machine, 39-bus New England system and a practical 60-machine, 246-bus Indian system.
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In the context of transmission system planning, research proposes methods to assess the effect of uncertainties of power system operating condition due to forecasting errors of intermittent generation and loads. In particular probabilistic power flow methods are illustrated to calculate the probability distributions of the voltages and the branch currents, starting from the distributions of power injections/absorptions. These uncertainties play a key role in the operational planning of power systems, as certain configurations of load and intermittent generation can cause security problems. This paper aims to propose a probabilistic methodology to assess Net Transfer Capacity (NTC) among network areas, which quantifies forecast error uncertainties by applying the Point Estimate Method (PEM) combined with Third Order Polynomial Normal (TPN) Transformation. This approach is compared with a conventional NTC assessment technique and has been validated against Monte-Carlo benchmark on an IEEE test system.
An Efficient Method for Calculation of Transfer Capability in Deregulated Power System
2011
Transfer Capability is the ability of a transmission network to transfer electric power reliably from an area of supply to an area of demand by way of all transmission lines (or paths) between two areas under a given operating condition. Available Transfer Capability is, in fact, an estimate of the near-future transmission network's capability of additional power transfer over the existing committed usage. This paper presents an efficient method for calculation of Transfer Capability adopting Breadth First Search Algorithm, The Breadth First Search Algorithm like PERT and Dijkstra's algorithms' is a graphical approach to determine the optimum operating state of the network and thereby calculate the Available Transfer Capability of the lines and areas. Several methods have been developed for determining Available Transfer Capability. However, the quest to develop more efficient and effective methods is still persistent. The proposed method is tested on IEEE 9 bus and 14 b...
A REVIEW OF PROBABILISTIC APPROACHES FOR AVAILABLE TRANSFER CAPABILITY CALCULATION
Several deterministic approaches have been proposed in literature for available transfer capability (ATC) computation. However, the gradual shift in power generation sources from fossil fuels to renewable energy sources has a remarkable influence on the ATC evaluation. The deterministic approaches do not incorporate the uncertainties of the renewable energy sources efficiently, therefore, various probabilistic techniques have been proposed in literature. This article presents a review of the various probabilistic methods for ATC computation. It provides the background, techniques and the features of ATC. Several contributions made by researchers, using probabilistic techniques for ATC computation, have been highlighted in this paper. This review has shown that there is a need for improvement in the existing approaches in order to evaluate ATC accurately. The improvement includes the development of a robust technique incorporating the system uncertainties and the uncertainties due to the renewable energy system as well as complete system dynamics in ATC computation. In addition, evaluation of ATC incorporating the transfer capability margins (TRM and CBM) is necessary to avoid over-/under-estimation of ATC value. This review will serve as a guide for the entrants in this research area
Probabilistic transfer capability assessment in a deregulated environment
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences
A methodology for available (simultaneous) transfer capability (ATC) analysis based on a probabilistic approach is presented. It is postulated that the system is operated by an ISO. The traditional concept of "area" is extended to include a utility, an individual IPP, a large customer, etc. All areas are divided into three groups: (a) study area or area under the ISO control, (b) transfer participating areas, and (c) external areas which have no direct transactions or they have fixed transactions with the study area. A performance index based contingency selection procedure is applied within the study and transfer participating areas to rank those contingencies that will affect simultaneous transfer capability. The contingency ranking order is utilized by a variation of the Wind Chime diagram to selected contingencies that are then evaluated by an optimal power flow algorithm. Subsequently, the probability distribution of simultaneous transfer capability is computed based on the electric load, circuit and unit outage Markov models. The 24x3 bus IEEE RTS is utilized to evaluate the proposed method. The performance of the proposed method is also demonstrated on an actual large scale system (2182 bus, 8 area system).
AVAILABLE TRANSFER CAPABILITY COST ANALYSIS IN ELECTRICITY MARKET By
The information on network capability is required for demanding use of the network reliably. Hence, fast and accurate methodologies are needed for computation of network capability. Available Transfer Capability (ATC) is the measure of system capability which remains with the system for further transactions. Generally the methodologies for computation linear ATC are not considering the effect of reactive power flows in the network. In this paper, a methodology which consider the reactive power flows for Enhancement of Linear ATC (ELATC) is presented. In this paper, a novel concept of ATC and its cost allocation based on power transactions is proposed. The sample 3 bus system is used as a case study for theoretical analysis. Another case study i.e., IEEE 14 bus system is used for simulation analysis. The MATLAB program has been developed and the simulation results are presented and compared.
Exact and efficient approach in static assessment of Available Transfer Capability (ATC
2010
this paper suggests an exact approach to deal with static assessment of Available Transfer Capability (ATC). It caters an expanded Newton Raphson-seydel (NRS) to see the problem from different point of view. Conventional Newton Raphson (NR) method has the singularity problem over its Jacobian matrix and thus could fail to get the solution. Continuation Power Flow (CPF) method is a very powerful method that can get the solution without having the singularity problem. The CPF method is improved here using the new CPF-GMRES method. NRS commonly recognize as an old method but it is fast and accurate. All in all, the expanded NRS method is reliable and faster than CPF-GMRES and even NRS. The proposed approach is demonstrated on practical 350 bus network in IRAN (Khorasan region).
Optimization techniques for Available Transfer Capability (ATC) and market calculations
IMA Journal of Management Mathematics, 2004
The recent movement towards an open, competitive market environment introduced new optimization problems such as market clearing mechanism, bidding decision and Available Transfer Capability (ATC) calculation. These optimization problems are characterized by the complexity of power systems and the uncertainties in the electricity market. Accurate evaluation of the transfer capability of a transmission system is required to maximize the utilization of the existing transmission systems in a competitive market environment. The transfer capability of the transmission networks can be limited by various system constraints such as thermal, voltage and stability limits. The ability to incorporate such limits into the optimization problem is a challenge in the ATC calculation from an engineering point of view. In the competitive market environment, a power supplier needs to find an optimal strategy that maximizes its own profits under various uncertainties such as electricity prices and load. On the other hand, an efficient market clearing mechanism is needed to increase the social welfare, i.e. the sum of the consumers' and producers' surplus. The need to maximize the social welfare subject to system operational constraints is also a major challenge from a societal point of view. This paper presents new optimization techniques motivated by the competitive electricity market environment. Numerical simulation results are presented to demonstrate the performance of the proposed optimization techniques.