Comparison of intelligent techniques to solve economic load dispatch with bilateral and multilateral transactions

Raglend, I. Jacob; Karthikeyan, P.; Sudheera,; Sailaja,; Sowjanya,; Kothari, D.P.

doi:10.1109/tencon.2008.4766644

Cited by 6 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Local optimum solutions are easily achieved by these methods [29]. Several restrictions are made to the transient stability limit of the OPF problems and to the objective functions due to different forms of computational complexities [30,31].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Unified Differential Evolution Algorithm for Optimal Operation of Power Systems with Static Security, Transient Stability and Statcom Device

Venkateswarlu*,

Vaisakh*

2019

IJRTE

View full text Add to dashboard Cite

The complexity of a power system operating with transient stability/security constraints increases with increased interconnection of power transmission networks. Many of the power system’s secure operations are affected with the voltage/transient instability problems. Thereby, the modern power systems have considered solving optimal power flow (OPF) problems using voltage/transient stability constraints as a tedious and challenging task. Algebraic and differential equations of the voltage/stability constraints are included in non-linear optimal power flow optimization problems. In this work, the OPF problems with voltage/stability constraints are solved using a newly developed reliable and robust technique. Moreover, the impact of a FACTS device such as STATCOM device was investigated to test its impact in the enhancement of power system performance. An adaptive unified differential evolution (AuDE) technique is proposed to search in the non-convex and nonlinear problems to obtain the global optimal solutions. Compared to other existing methods and basic DE, the proposed AuDE algorithm has achieved better results under simulation conditions. The power system’s performance is considerably enhanced with STATCOM device. Efficiency of the proposed method in solving the transient and security constrained power systems for optimal operations were demonstrated using the numerical results obtained from IEEE 39-bus, 10-generator system and IEEE 30-bus, 6-generator system. Due to page limitation only 30-bus systems results are presented.

show abstract

Section: Introductionmentioning

confidence: 99%

Adaptive Unified Differential Evolution Algorithm for Optimal Operation of Power Systems with Static Security, Transient Stability and Statcom Device

Venkateswarlu*,

Vaisakh*

2019

IJRTE

View full text Add to dashboard Cite

show abstract

“…So utilities have to decide the location of Independent Power Producers (IPPs) and the magnitude of feasible transactions. Economic dispatch solutions using evolutionary programming under bilateral, multilateral and pool transactions have been considered in literature [3][4][5][6]. Padey et al formulated an economic dispatch problem with independent power producers [3].…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow with transmission cost solution under bilateral and multilateral transactions

Nazaran¹,

Selvi²

2014

Archives of Electrical Engineering

View full text Add to dashboard Cite

In a deregulated electricity market, it is important to dispatch the generation in an economical manner and to ensure security under different operating conditions. In this study evolutionary computation based solution for optimal power flow is attempted. Social welfare optimization is taken as the objective function, which includes generation cost, transmission cost and consumer benefit function. Transmission cost is calculated using Bialek’s power flow tracing method. Severity index is applied as a constraint to measure the security. The objective function is calculated for pre and post contingency periods. Real power generations, real power loads and transformer tap settings are selected as control variables. Different bilateral and multilateral conditions are considered for analysis. A Human Group Optimization algorithm is used to find the solution of the problem. The IEEE 30 bus system is taken as a test system.

show abstract

“…These methods are capable of solving complex optimization problems such as those with a non-continuous, non-convex and highly nonlinear solution space [7]. During the last two decades, EC techniques such as GA, PSO, DE, evolutionary programming, evolution strategy and others have been successfully applied to a variety of optimization problems in power system area [8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Optimal power flow solution using evolutionary computation techniques

Suharto

Hassan

Majid

et al. 2011

TENCON 2011 - 2011 IEEE Region 10 Conference

View full text Add to dashboard Cite

This paper presents evolutionary computation (EC) techniques and discusses their applicability to the optimal power flow (OPF) problem. The power flow problem is optimized to find the minimum fuel cost of all generating units while maintaining an acceptable system performance in terms of limits on the power outputs of generators, bus voltage and line flow. Different EC techniques such as genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE) are applied to solve the OPF problem for IEEE 30-bus system. The results are compared with the OPF solution obtained from MATPOWER that employs sequential quadratic programming to prove the effectiveness of the EC techniques. The computational results show that EC techniques work effectively and applicable to the OPF problem.

show abstract

Comparison of intelligent techniques to solve economic load dispatch with bilateral and multilateral transactions

Cited by 6 publications

References 21 publications

Adaptive Unified Differential Evolution Algorithm for Optimal Operation of Power Systems with Static Security, Transient Stability and Statcom Device

Adaptive Unified Differential Evolution Algorithm for Optimal Operation of Power Systems with Static Security, Transient Stability and Statcom Device

Optimal power flow with transmission cost solution under bilateral and multilateral transactions

Optimal power flow solution using evolutionary computation techniques

Contact Info

Product

Resources

About