Solution of optimal reactive power dispatch with FACTS devices: A survey

Congestion management approaches in restructured power system: Key issues and challenges

Chaotic darwinian particle swarm optimization for real-time hierarchical congestion management of power system integrated with renewable energy sources

Optimal reactive power dispatch (ORPD) problems in power system have been solved by using several variants of traditional nature inspired particle swam optimization (PSO) with aim to achieve a promising solution for a given objective such as line loss, voltage deviation and overall cost minimization. Several schemes have been designed to improve the performance of the optimization technique in tunning the operational variables and analyzed by evaluating the final results. In this article, a different method is designed to solve ORPD problems, by introducing Shannon entropy based diversity in the fractional order PSO dynamics, i.e., FOPSO-EE. The results show that synergy of both, the Shannon entropy and the fractional calculus can be used as the useful tools for enhancing the optimization strength of algorithm while solving the ORPD problems in standard IEEE 30 and 57 bus power systems. The performance of the design FOPSO-EE is further validated through results of statistical interpretations in terms of histogram analysis, box plot illustration, quantile-quantile probability plot and empirical probability distribution function.

Design of Fractional Swarm Intelligent Computing With Entropy Evolution for Optimal Power Flow Problems

In this paper, a 3 dB wideband branch line coupler with reduced size and harmonic suppression is presented. New multiple asymmetric π-shaped, cross and T-shaped transmission line techniques are used to reduce the physical size of the coupler. At the operating frequency of f0 = 0.9 GHz, the fabricated coupler achieves 15 dB return loss bandwidth of 44.4% with a size reduction of 76.3%. The designed coupler has insertion loss better than 3.6 dB with a magnitude balance of 0 ± 1 dB over the frequency band 0.67–1.05 GHz. In addition to compact design, the unwanted harmonics are well suppressed up to 4f0 with a level better than 20 dB by maintaining good agreement between the measured results and theoretical predictions.

A novel two section branch line coupler employing different transmission line techniques

Congestion management (CM) in the deregulated power systems is germane and of central importance to the power industry. In this paper, an optimal power flow (OPF) based CM approach is proposed whose objective is to minimize the absolute MW of rescheduling. The proposed optimization problem is solved with the objectives of total generation cost minimization and the total congestion cost minimization. In the centralized market clearing model, the sellers (i.e., the competitive generators) submit their incremental and decremental bid prices in a real-time balancing market. These can then be incorporated in the OPF problem to yield the incremental/ decremental change in the generator outputs. In the bilateral market model, every transaction contract will include a compensation price that the buyer-seller pair is willing to accept for its transaction to be curtailed. The modeling of bilateral transactions are equivalent to the modifying the power injections at seller and buyer buses. The proposed CM approach is solved by using the evolutionary based Enhanced Genetic Algorithms (EGA). IEEE 30 bus system is considered to show the effectiveness of proposed CM approach.

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Optimal power flow based congestion management using enhanced genetic algorithms

In this article, a new compact branch-line coupler with third harmonics suppression using the meander T-shaped line is suggested The meander T-shaped line works similar to a bandstop filter at the second and third harmonics frequencies The size of the proposed coupler is 222 × 149 mm2, while a conventional coupler is 326 × 278 mm2 Thus, the proposed coupler is considerably smaller than the conventional coupler © 2014 Wiley Periodicals, Inc Microwave Opt Technol Lett 56:1382–1384, 2014

Compact branch-line coupler with harmonics suppression using meander T-shaped line

This paper presents a comprehensive review of smart grid (SG) technologies features such as two way communication, advanced metering infrastructure (AMI) system, integration of renewable energy, advanced storage techniques, real time operation and control, data management and processing, physical and cyber security, and self-healing, etc. The SG technology allows two way communications for better reliability, control, efficiency and economics of power system. With these new SG technologies, consumers have many energy choices, such as use of renewable energy, usage management, flexible rates, electric vehicles (EVs), etc. The requirement of these technologies is the real time operation, and the SG accommodates this real time operation and control. SG technology allows the distributed generation while the demand response and energy efficiency technologies to shed the load demand. However, to adopt these changes to the conventional grids is not easy. Utility companies, governments, Independent system operators (ISOs) and energy regulatory commissions are need to agree on the scope and time frame of these changes.

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Features of Smart Grid Technologies: An Overview

This paper proposes a novel congestion management (CM) approach within an optimal power flow (OPF) framework in the context of restructured power markets. The conventional OPF problem is modified to include a mechanism which enables the market players to compete and trade, and simultaneously ensuring the secured system operation. In this paper, both the centralized and bilateral dispatch strategies of system operator are considered. The proposed CM problem is formulated by considering the two objective functions. If the bidding prices in the market are not considered, then the first objective is to minimize to the total cost of generation. By considering the bidding prices in the market, the first objective function becomes the minimization of congestion rental in the system. The second objective function is to minimize the total transmission losses in the system. The proposed multi-objective based CM problem has been solved using the multi-objective glowworm swarm optimization (MO-GSO) algorithm. The standard IEEE 30 bus and IEEE 118 bus test systems are used to test the proposed CM approach. The results show the suitability of proposed MO-GSO algorithm for solving the multi-objective based CM problem and to generate a well distributed Pareto optimal set of considered two objective functions.

Congestion Management Using Multi-Objective Glowworm Swarm Optimization Algorithm

The objective of this paper is to study various methods adopted during the energy audit. Many countries are focusing on energy, not only enhancing the tenable power generation sources but also on utilizing the power more proficiently for economic utilization. The energy audit is an important parameter for all the developing and developed countries and they focus on energy efficiency, energy quality, and energy intensity. In the industrial, residential, and commercial sectors the top operating expense is found to be are material, machine, manpower, and energy. Identification of the energy-consuming sector is the prior attention to look for the energy-saving potential and quality improvement. Implementation of an energy audit can enhance the efficiency, quality of power, reduce the tariff of bills, and reduces the wastage of energy. The need for energy audits, different types of energy audits, various types of software used, and the energy audit report structure were presented in this paper.

/pdf/energy-audit-types-scope-methodology-and-report-structure-rvrcov2vg8.pdf

Seong-Cheol Kim

Papers

Optimal power flow based congestion management using enhanced genetic algorithms

Compact branch-line coupler with harmonics suppression using meander T-shaped line

Features of Smart Grid Technologies: An Overview

Congestion Management Using Multi-Objective Glowworm Swarm Optimization Algorithm

Energy audit: types, scope, methodology and report structure