Published August 1, 2019 | Version v1
Journal article

Optimal allocation of static VAR compensator by a hybrid algorithm

  • 1. National Institute of Technology, Department of Electrical Engineering (India)
  • 2. KIIT University, Department of Electrical Engineering (India)

Description

Flexible AC transmission system (FACTS) devices are gaining popularity in electrical transmission networks for the last few years due to their ability to improve a system's performance without restructuring or expanding the existing network. But, placing the FACTS device at any arbitrary location in the network may not be optimally beneficial. Also, judging the optimally beneficial location of these devices becomes necessary prior to investment owing to their high expense of installation and maintenance. In this paper, a novel hybrid algorithm combining Cuckoo Search Algorithm (CSA) and Chemical Reaction Optimization (CRO) is proposed to solve the problem of optimally allocating a static VAR compensator (SVC) for the standard IEEE 14-bus, 30-bus and 57-bus transmission systems under heavily loaded condition. The optimal allocation of SVC is done by considering technical aspects like voltage stability, power generation minimization and line loss reduction and also by considering commercial facets like savings on annual cost of power generation and return-on-investment (ROI) time period for the expenditure incurred on the SVC. The ROI calculation is a novel addition to the problem formulation which adds a practical outlook to the feasibility of investment. Thus, a holistic approach is followed for determining the optimal location of the SVC in the power network and the results validate the superior performance of the proposed algorithm.

Additional details

Identifiers

Publishing Information

Journal Title
Energy Systems (Berlin. Periodical. Internet)
Journal Volume
10
Journal Issue
3
Journal Page Range
p. 677-719
ISSN
1868-3975

INIS

Country of Publication
Germany
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54092189
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; ELECTRIC POTENTIAL; MINIMIZATION; POWER GENERATION; POWER LOSSES; POWER TRANSMISSION LINES; VAR CONTROL SYSTEMS
Descriptors DEC
CONTROL SYSTEMS; ENERGY LOSSES; LOSSES; MATHEMATICAL LOGIC; OPTIMIZATION

Optional Information

Copyright
Copyright (c) 2017 Springer-Verlag GmbH Germany