Reactive power optimization in power system based on improved niche genetic algorithm

Ma, Xin; Liu, Ruilan

doi:10.1109/iccda.2010.5541277

Cited by 13 publications

(7 citation statements)

References 5 publications

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“…CPSO [26], MAPSO [14], an integercoded, multi-objective genetic algorithm (IGA) [28] and an improved niche genetic algorithm INGA [29] are implemented for the comparison with MACPSO. Simulation results are compared with various techniques available in literatures.…”

Section: Study and Simulation Results Of Reactive Power Optimizationmentioning

confidence: 99%

“…For generator nodes, node 1 is the equilibrium point, nodes 2, 5, 8, 11, 13 are P-V nodes and the rest are P-Q nodes. Tables 7 and 8 display the performance difference among PSO, CPSO, MAPSO [14], IGA [28], INGA [29], SaDE [30], CLPSO [31] and MACPSO. The total loads of system are P load = 2.834p.…”

Section: Study and Simulation Results Of Reactive Power Optimizationmentioning

confidence: 99%

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A novel reactive power optimization solution using improved chaos PSO based on multi-agent architecture

Tang

Zhang

Cui

et al. 2013

Int. Trans. Electr. Energ. Syst.

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SUMMARY Reactive power optimization plays an important role in safe and economic operation of power systems. However, with multiple mixed variables, this issue is well known as complex, nonlinear and multi‐constrained. In this paper, combined particle swarm optimization (PSO) algorithm with chaos and multi‐agent system, a novel algorithm (MACPSO) is developed and applied to reactive power optimization of power system. It synthesizes advantages of the swarm search of PSO and the intelligent search of agents. Seen as a particle of PSO during the search process, each agent competes and cooperates with the neighboring agents so as to obtain solutions of high quality swiftly. To strike a balance between intensification and diversification strategy and to reduce the probability of falling into local optimum, chaos optimization algorithm is adopted in the proposed algorithm. In order to verify the effectiveness of the proposed algorithm, the performance of MACPSO is evaluated on four classical testing functions and reactive power optimization. Experiment results show that MACPSO has excellent search ability and highly accurate convergence. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Study and Simulation Results Of Reactive Power Optimizationmentioning

confidence: 99%

Section: Study and Simulation Results Of Reactive Power Optimizationmentioning

confidence: 99%

A novel reactive power optimization solution using improved chaos PSO based on multi-agent architecture

Tang

Zhang

Cui

et al. 2013

Int. Trans. Electr. Energ. Syst.

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show abstract

“…As for time and space constraints of terminals of MTDC distribution, constraints of converter valves, as well as coupled constraints of power flow in AC and DC system, an optimal dispatching model is needed [23][24]. There're two kinds of solution algorithm for such an optimal model: traditional algorithm such as analytical and iterative method, intelligent algorithm such as multi-objective evolutionary algorithm, genetic algorithm and niche immunity algorithm [25][26].…”

Section: Energy Optimizationmentioning

confidence: 99%

Architectures and Control for Multi-terminal DC (MTDC) Distribution Network-A Review

Yang

Xie

Zhu

et al. 2015

11th IET International Conference on AC and DC Power Transmission

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Traditional ac distribution network is ushering a new era of transformation toward dc, providing significant solution to its insufficient current carrying capacity, increasing fault currents, poor power quality, difficulty in flexible integration of large-scale renewable energy sources, etc. To address these issues this paper intends to open up an overview of the dc distribution network trends and present technical superiority analysis for multi-terminal dc (MTDC) distribution network. On this basis, MTDC distribution architectures based on voltage sourced converter (VSC) have been proposed and applied with reliability and controllability under consideration, such as hand-in-hand topology, dual-ring topology, half-ring topology and radial-type topology. Furthermore, performance of MTDC distribution networks is discussed and theoretically validated: high voltage stability, short recovery time, large power capacity, flexible power flow controllability, high power quality, plug-and-play functionality for dispersed renewable sources, etc. Besides, two kinds of control schemes with central control or not are discussed and energy optimization of MTDC network is focused. Last of the paper discusses current DC distribution projects and projects under construction. To sum up, MTDC distribution networks are superior to its ac counterpart, while many technical and practical problems remain unsolved.

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“…Optimization techniques have been widely applied for improving the performance of automotive control systems [4,5], reactive power flow [6][7][8], DC/AC inverters of Photovoltaic (PV) systems [9][10][11], etc. Regarding component sizing of DC-DC converters for power loss optimization, only a few studies have taken place with [4,5,12,13] mainly focusing on the minimization of the volume and cost of an automotive Buck-type DC-DC converter and [14] focusing on the low cost of the prototypes.…”

Section: Introductionmentioning

confidence: 99%

Optimal design of a boost-type DC-DC converter for PV power-supplied wireless sensor networks

Mandourarakis

Koutroulis

2015

2015 IEEE International Conference on Industrial Technology (ICIT)

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Wireless Sensor Networks (WSNs) are widely installed during the last years for monitoring multiple parameters of interest over distributed areas in the environment, buildings and industries. The WSN nodes are frequently installed in geographically remote areas. Thus, they are power-supplied by renewable energy sources and a DC-DC power converter is employed for interfacing the generated energy to a battery bank and the electric load of the WSN node. In this paper, an optimization method is presented for performing circuit-level optimization of a Photovoltaic (PV) power-supplied Boost-type DC-DC power converter, which is employed in a WSN node. Using the proposed technique enables to calculate the optimal switching frequency and values of the components comprising the circuit of the DC-DC converter, such that either the power loss at nominal output power, or the total power loss during the year, or the Levelized Cost Of the Electricity generated (LCOE), are alternatively minimized. The design optimization and experimental results demonstrate the features of the proposed technique and confirm the performance superiority of the DC-DC converters, which are designed using the proposed method, compared to the non-optimized DC-DC converter structures.

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Reactive power optimization in power system based on improved niche genetic algorithm

Cited by 13 publications

References 5 publications

A novel reactive power optimization solution using improved chaos PSO based on multi-agent architecture

A novel reactive power optimization solution using improved chaos PSO based on multi-agent architecture

Architectures and Control for Multi-terminal DC (MTDC) Distribution Network-A Review

Optimal design of a boost-type DC-DC converter for PV power-supplied wireless sensor networks

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