Fuzzy-based voltage/reactive power scheduling for voltage security improvement and loss reduction

Inst. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi
IEEE Transactions on Power Delivery (Impact Factor: 1.66). 05/2001; DOI: 10.1109/61.915501
Source: IEEE Xplore

ABSTRACT 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 a new approach of reactive power and voltage control for power system. Reactive power control plays a major role in operation and control of power system. The objectives of the proposed approach are the minimization of generation cost, the minimization of real power losses flowing in a power system and the voltage profile improvement. The proposed formulation employs Genetic Algorithm for proper settings of control variables to achieve the optimal solution. The effectiveness of the proposed approach has been examined and tested with standard IEEE 30 bus test system‥
    Circuits, Power and Computing Technologies (ICCPCT), 2013 International Conference on; 01/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The massive pervasion of distributed generators in modern smart grids makes hierarchical voltage control paradigms unsuitable. Fuzzy logic and fuzzy agent based architecture is considered to be a promising research approach to address voltage control problem in smart grids. Following the said approach, this paper proposes decentralized and non-hierarchal voltage control architecture based on cooperative fuzzy agents. Similarly to self-organizing biological populations, the voltage control is achieved by the local interaction of fuzzy agents as that of the theory distributed consensus. This allows control agents to decide that when reactive power flow injection in the network is more useful in case of global network conditions. Simulation results obtained on the 30 bus IEEE test network are presented and discussed in order to prove the effectiveness of the proposed solution.
    IEEE Transactions on Industrial Informatics 08/2013; 9(3):1415-1422. DOI:10.1109/TII.2013.2249074 · 8.79 Impact Factor
  • Source
    [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.