This paper presents a new approach using fuzzy set theory for
voltage and reactive power control of power systems. The purpose is to
find a solution which takes both voltage security enhancement and loss
reduction into account for an electric power system. The approach
translates violation level of buses voltage and controlling ability of
controlling devices into fuzzy set notations using a linearized model. A
feasible solution set which achieves voltage improvement is first
attained using the max-min operation of fuzzy sets, the final solution
which takes power loss reduction into account is then determined
employing the min-operation on the feasible solution set previously
obtained. A modified IEEE 30-bus test system is used to demonstrate the
application of the proposed approach. Simulation results show that the
approach is efficient, simple, and straightforward
[Show abstract][Hide abstract] ABSTRACT: This paper presents the implementation of improved particle swarm optimization (IPSO) in solving the optimal reactive power control (ORPC) problem. In this new algorithm, the particles were made to perform studies not only on itself and the best one but also from every other individual particle considered in the system. Because of the enhanced study, the opportunity to find the global best solution is improved and also the time for convergence is reduced. The feasibility of the proposed method is demonstrated and results are compared with classical PSO. The implementations of IPSO were carried on 6 bus Ward-Hale test system and modified IEEE 14 bus system for obtaining solution to the reactive power optimization and the results are found predominant when compared with classical PSO.
[Show abstract][Hide abstract] ABSTRACT: In recent years, fuzzy set theory applications have received increasing attention in various areas of power systems such as operation, planning, and control. A number of research articles appeared which indicate applicability of fuzzy systems to power systems for wider operating conditions under uncertainties. While most of these systems are still under investigation, however, there already exist several practical applications of fuzzy systems. This paper presents a comprehensive set of references on fuzzy set theory applications in power systems.
IEEE Transactions on Power Systems 12/2003; 18(4-18):1291 - 1299. DOI:10.1109/TPWRS.2003.818595 · 2.81 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Energy management engineers are focusing their interest in tapping maximum profit for their system from substation automation (SSA)/distribution automation (DA). Volt/Var control through fixed/switched capacitors, transformer taps and voltage set points are at different levels of research and implementation. A neural network based solution for voltage-VAR control is proposed with the aim to reduce the real power loss flowing in a power system and subsequently improve the voltage profile. The module consists of two networks. The first network determines the control parameters i.e., generator voltage, transformer taps and shunt capacitance for minimal power loss when the loads at the load buses are specified as inputs. With the obtained parameters, a load flow program is run and power loss is noted and the system is checked for voltage violations. In case of voltage violations, the voltages are fed to the second network, which gives dQ at different buses for voltage violation minimization. These modules are successfully tested for different load patterns on a six-bus system.
Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on; 02/2005
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