A two-level game optimal dispatching model for the park integrated energy system considering Stackelberg and cooperative games

Yang, Shenbo; Tan, Zhongfu; Zhou, Jinghan; Xue, Fan; Gao, Hongda; Lin, Hui; Zhou, Feng’ao

doi:10.1016/j.ijepes.2021.106959

Cited by 47 publications

(14 citation statements)

References 12 publications

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“…Among them, v(N) represents the resource support obtained by the allocation object and c(M) represents the minimum allocated funds of the project [35,36]. us, through the above process, the design of the optimization configuration method of human resource structure based on the integration of the capability maturity model is completed.…”

Section: Optimization Of Human Resource Allocation Model Based On Cooperative Gamementioning

confidence: 99%

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Li¹

2022

Security and Communication Networks

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In order to improve the economic benefits of enterprises and provide a scientific human resource management method for enterprises, an optimal allocation method of human resource structure based on the integration of capability maturity model is proposed. According to the capability maturity model and its maturity level, the capability maturity integration model is established, and the optimal allocation algorithm of human resources is designed according to the model principle. By constructing the personnel quality evaluation matrix and personnel allocation matrix, the human resource allocation model is established, and the cooperative game method is used to dynamically optimize the human resource allocation model. The experimental results show that this method effectively improves the economic benefits of enterprises, improves the efficiency of human resource allocation, and completes the preset goal.

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Section: Optimization Of Human Resource Allocation Model Based On Cooperative Gamementioning

confidence: 99%

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Li¹

2022

Security and Communication Networks

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“…The maximum ice melt supply power P dis,c,max t at moment t when the ice storage equipment is melting varies with the amount of ice remaining in the ice tank, and is expressed as Equation (13).…”

Section: 32mentioning

confidence: 99%

Enhanced parallel salp swarm algorithm based on Taguchi method for application in the heatless combined cooling‐power system

Shan

Xie

Zhang

et al. 2022

IET Generation Trans & Dist

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Salp swarm algorithm (SSA) is an excellent meta‐heuristic algorithm, which has been widely used in the engineering field. However, there is still room for improvement in terms of convergence rate and solution accuracy. Therefore, this paper proposes an enhanced parallel salp swarm algorithm based on the Taguchi method (PTSSA). The parallel trick is to split the initial population uniformly into several subgroups and then exchange information among the subgroups after a fixed number of iterations, which speeds up the convergence. Communication strategies are an important component of parallelism techniques. The Taguchi method is widely used in the industry for optimizing product and process conditions. In this paper, the Taguchi method is adopted into the parallelization technique as a novel communication strategy, which improves the robustness and accuracy of the solution. The proposed algorithm was also tested under the CEC2013 test suite. Experimental results show that PTSSA is more competitive than some common algorithms. In addition, PTSSA is applied to optimize the operation of a heatless combined cooling‐power system. Simulation results show that the optimized operation provided by PTSSA is more stable and efficient in terms of operating cost reduction.

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“…To facilitate simultaneous coordinative transactions and dispatching, Wang et al 20 developed a hierarchical structure of a community IES made up of energy hubs, users, and load aggregators. The Stackelberg game and the cooperative game were utilized to optimize the exterior and interior of the IES, respectively, by Yang et al, 21 who introduced a revolutionary two-layer game model. In addition to game theory, some studies adopt the decentralized optimization or multiobjective optimization method to describe the IES's conflicting interests.…”

Section: Novelty Statementmentioning

confidence: 99%

Optimal management of multi stakeholder integrated energy system considering dual incentive demand response and carbon trading mechanism

Wang

Cheng

Zuo

et al. 2021

Intl J of Energy Research

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A two-level game optimal dispatching model for the park integrated energy system considering Stackelberg and cooperative games

Cited by 47 publications

References 12 publications

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Optimal Allocation of Human Resource Structure Based on Capability Maturity Model Integration

Enhanced parallel salp swarm algorithm based on Taguchi method for application in the heatless combined cooling‐power system

Optimal management of multi stakeholder integrated energy system considering dual incentive demand response and carbon trading mechanism

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