Fast optimal dispatch with global transient stability constraint

Allella, Flavio; Lauria, D.

doi:10.1049/ip-gtd:20010446

Cited by 14 publications

(5 citation statements)

References 17 publications

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“…Figure shows the 9 bus system. The rating of generators and fuel cost parameters are from Allella et al , system data from Cai et al , and upper, lower limits of bus voltages are from Al Rashidia and El‐Hawaryb . Control variables are the real power of 2 generators and 3 PV bus voltages.Case A 3 phase to ground fault on lines 5 to 7 near bus 7 is cleared by tripping the line.Case A 3 phase to ground fault on lines 6 to 9 near bus 9 is cleared by tripping the line.…”

Section: Resultsmentioning

confidence: 99%

An efficient transient stability-constrained optimal power flow using biogeography-based algorithm

Bagde

Umre

Raju

2017

Int Trans Electr Energ Syst

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SummaryWith deregulated regime for electricity market, utilities are being operated close to stability boundaries. Therefore, it has become necessary to secure power systems optimally when subjected to transient stability condition. Transient stability constrained optimal power flow (OPF) is a highly nonlinear, high-dimension optimization problem and requires efficient methods to solve it. In this paper, transient stability constrained OPF problem is implemented by using biogeography-based optimization algorithm, a recent evolutionary algorithm that searches for global optimum through migration and mutation of biological species distributed over geographical space and has shown promising results. The OPF model uses economic dispatch as objective function subjected to various constraints. Single machine equivalent, a hybrid method that combines time domain simulations and direct method, has been used to implement transient stability constraint. Tests on Western System Coordinating Council 3 machine, 9 bus system and New England 10 machine, 39 bus system demonstrate the effectiveness of the approach. The simulation results presented by using MATLAB are compared with recent findings that show that the proposed biogeography-based optimization algorithm is capable of obtaining higher quality solutions.KEYWORDS biogeography-based optimization, optimal power flow, SIME, transient stability | INTRODUCTIONTo establish a secure and optimal state in power system, system operators use optimal power flow (OPF) programs in planning and operating stages. In OPF, the given objective function is optimized subject to operational and physical constraints of the system. Because OPF model can integrate the cost effectiveness and constraints of the power system into a single mathematical formulation, various deterministic approaches have been applied in the past 1 . Deregulation of utilities necessitated transmission of large amounts of electrical energy over long distances with intraday electricity markets. The uncertainty of operating conditions due to distributed generation coupled with complex control hierarchy forced systems to operate at stability boundaries. Against this background, instability has become a major issue, which must be addressed by suitable techniques. This has given rise to a new methodology known as transient stability constrained OPF (TSCOPF) problem, which is a highly nonlinear, nonconvex, and multidimensional optimization problem 2 .Researchers proposed many deterministic approaches of solving TSCOPF problem in the literature. Transient stability constrained optimal power flow problem consists of differential-algebraic equations, which need to be

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Section: Resultsmentioning

confidence: 99%

An efficient transient stability-constrained optimal power flow using biogeography-based algorithm

Bagde

Umre

Raju

2017

Int Trans Electr Energ Syst

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“…): this dependence on the disturbance is taken into account in by properly conditioning the event ( T <CCT) to the disturbance occurrence. The introduction of the probability of disturbance occurrence is useful to reduce the number of contingencies to be taken into account, since the most unlikely ones can be omitted thus limiting the computational burden (Allella and Lauria, 2001). Without losing generality, in the following, a single disturbance C is supposed to occur in the time interval under consideration.…”

Section: Probabilistic Approach To Transient Stability Assessmentmentioning

confidence: 99%

“…Deregulated markets for electric energy involve more restrict stability margins (Allella and Lauria, 2001), because of social and economic obstacles, encountered in generation and transmission operation and planning. In particular, transmission lines are more difficult to be built nowadays, thus resulting in a need for transmission system operation with the highest possible levels of efficiency.…”

Section: Introductionmentioning

confidence: 99%

Probabilistic approach to series compensation design

Allella

Chiodo

Lauria

2003

COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Series capacitive compensation in electrical power systems is generally recognized as a very economical and powerful means for increasing the transmission capability of long‐distance transmission lines, resulting in relevant technical advantages in power system behavior: increased steady‐state and transient stability margins, reduced voltage drop in receiving systems during occurrence of severe contingencies and reduction of transmission losses. In this paper, a general method for choosing the series compensation degree is proposed, focusing the attention on the transient stability aspect. The approach, based upon a probabilistic framework, allows to properly select – at the design stage – the optimal degree of series compensation in order to contain the instability risk at an acceptable value. The transient stability problem is formulated by using the transient energy function method. In order to show the feasibility of the proposed approach, a numerical application to the Cigre test network is performed in the final part of the paper.

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“…These equations are solved by approximate or full simulation algorithms like numerical integration methods e.g. Runge-Kutta, Euler methods or direct methods such as LyapuNov method [3][4]. The overall architecture of the DSCOPF problem is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Power System Security Analysis Using a Hybrid PSO-APO Algorithm

Teeparthi

Kumar

2017

Eng. Technol. Appl. Sci. Res.

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In this paper, a novel hybrid particle swarm optimization and artificial physics optimization (HPSO-APO) algorithm is proposed to solve the dynamic security constrained optimal power flow (DSCOPF) problem for enhancing system security. The dynamic security assessment deals with contingency analysis which is carried out using a performance index. DSCOPF recommends preventive control actions like generator rescheduling to alleviate an existing credible contingency in the system while ensuring minimal operating cost. The OPF problem is a highly nonlinear differential one and becomes more complex when considering the rotor dynamics of the system. The APO algorithm has the capability to reach a near global optimum value. However, it suffers from convergence problem. On the other hand, PSO exhibits premature convergence characteristics, but it may get trapped at a local optima value. The proposed HPSO-APO algorithm combines both individual algorithm strengths, to get balance between global and local search capability. The proposed method has been evaluated on a standard IEEE six-generator, 30-bus system and a New England ten-generator, 39-bus test system. The proposed HPSO-APO algorithm gives an efficient and robust optimal solution of DSCOPF problem compared to standard PSO and APO methods.

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Fast optimal dispatch with global transient stability constraint

Cited by 14 publications

References 17 publications

An efficient transient stability-constrained optimal power flow using biogeography-based algorithm

An efficient transient stability-constrained optimal power flow using biogeography-based algorithm

Probabilistic approach to series compensation design

Dynamic Power System Security Analysis Using a Hybrid PSO-APO Algorithm

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