An asynchronous MOPSO for multi-objective optimization problem

Wu, Dongmei; Gao, Hao

doi:10.1109/mecatronics.2014.7018583

Cited by 2 publications

(2 citation statements)

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“…The MOPSO algorithm introduces an adaptive mesh method (estimating the information density of particles), a search mechanism for Pareto optimal solutions that balance global and local search capabilities and a pruning technique for archive sets that reject poor quality particles [38][39][40]. It has the characteristics of fewer control parameters, easy implementation and a certain degree of parallelism [41,42].…”

Section: Simulation Of Intelligent Contract Example and Evaluation Ofmentioning

confidence: 99%

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Gong

Zhang

et al. 2020

Energies

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With the integration of highly permeable renewable energy to the grid at different levels (transmission, distribution and grid-connected), the volatility on both sides (source side and load side) leading to bidirectional power flow in the power grid complicates the control mechanism. In order to ensure the real-time power balance, energy exchange, higher energy utilization efficiency and stability maintenance in the electric power system, this paper proposes an integrated application of blockchain technology on energy routers at transmission and distribution networks with increased renewable energy penetration. This paper focuses on the safe and stable operation of a highly penetrated renewable energy grid-connected power system and its operation. It also demonstrates a blockchain-based negotiation model with weakly centralized scenarios for “source-network-load” collaborative scheduling operations; secondly, the QoS (quality of service) index of energy flow control and energy router node doubly-fed stability control model were designed. Further, it also introduces the MOPSO (multi-objective particle swarm optimization) algorithm for power output optimization of multienergy power generation; Thirdly, based on the blockchain underlying architecture and load prediction value constraints, this paper puts forward the optimization mechanism and control flow of autonomous energy coordination of b2u (bottom-up) between router nodes of transmission and distribution network based on blockchain.

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Section: Simulation Of Intelligent Contract Example and Evaluation Ofmentioning

confidence: 99%

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Gong

Zhang

et al. 2020

Energies

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“…Recently, various improved approaches to MOPSO have been developed, e.g., in [23,24,25,26]. Wu et al [23] propose a MOPSO algorithm with asynchronous updates. When a particle in the swarm is regulated, the Pareto front is immediately evaluated.…”

Section: Algorithm Designmentioning

confidence: 99%

An Optimization Routing Algorithm Based on Segment Routing in Software-Defined Networks

Hou

Muqing

Zhao

2018

Sensors

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Software-defined networks (SDNs) are improving the controllability and flexibility of networks as an innovative network architecture paradigm. Segment routing (SR) exploits an end-to-end logical path and is composed of a sequence of segments as an effective routing strategy. Each segment is represented by a middle point. The combination of SR and SDN can meet the differentiated business needs of users and can quickly deploy applications. In this paper, we propose two routing algorithms based on SR in SDN. The algorithms aim to save the cost of the path, alleviate the congestion of networks, and formulate the selection strategy by comprehensively evaluating the value of paths. The simulation results show that compared with existing algorithms, the two proposed algorithms can effectively reduce the consumption of paths and better balance the load of the network. Furthermore, the proposed algorithms take into account the preferences of users, actualize differentiated business networks, and achieve a larger comprehensive evaluation value of the path compared with other algorithms.

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An asynchronous MOPSO for multi-objective optimization problem

Cited by 2 publications

References 10 publications

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

Electric Power System Operation Mechanism with Energy Routers Based on QoS Index under Blockchain Architecture

An Optimization Routing Algorithm Based on Segment Routing in Software-Defined Networks

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