Abstract
This paper formulates and solves a techno-economic planning problem of reactive power (VAR) in power transmission systems under loadings. The objective of the proposed research work is to minimize the combination of installation cost of reactive power sources, power losses and operational cost while satisfying technical constraints. Initially, the positions for the placement of reactive power sources are determined technically. Different cost components such as VAR generation cost, line charging cost etc. are then added in the total operating cost in a most economical way. Finally, the optimal parameter setting subjected to reactive power planning (RPP) is obtained by taking advantages of hybrid soft computing techniques. For the justification of the efficiency and efficacy of the proposed approach the entire work is simulated on two inter-regional transmission networks. To validate the robustness and ease of the soft computing techniques in RPP the responses of benchmark functions and statistical proof are provided simultaneously.
Highlights
Electric power transmission operators and planners have had immense concern on the importance of reactive power in operation and planning problems
1.3 Paper organization This paper describes the mathematical outline of problem formulation and a brief explanation of the proposed methodology in Section II and III respectively
It is seen that hybrid DECSA and loss sensitivity analysis (LSA) co-operatively produce minimum PL and total operational cost (O.C) of 0.7057 p.u and 3.7080 × 107 $, respectively
Summary
Electric power transmission operators and planners have had immense concern on the importance of reactive power in operation and planning problems. This concern originates from ever-increasing load demands, uncertainty in voltage stability and economic benefits by obeying the operational limits. The settings of voltage control devices such as capacitor banks, static compensators, synchronous compensators and open loop tap setting (OLTC) transformers are determined by system operation planning. Such preventive planning provides a stable, secure, reliable and economic power network [2]
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