Research on Wind Power Consumption Dispatching Based on Improved Whale Optimization Algorithm

Sun, Hexu; Zhang, Wei; Lei, Zhaoming

doi:10.1007/978-981-32-9050-1_56

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The literature [14] proposes a convergence factor update strategy in the form of a positive exponential with e as the base, the formula is as follows:…”

Section: Improvement Of Convergence Factormentioning

confidence: 99%

An Improved Differential Evolution Whale Algorithm for Economic Load Distribution

Li¹,

Fu²

2022

JCC

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An improved optimization algorithm combining the differential evolution algorithm and the whale algorithm is proposed for the problem of not being able to get rid of the local optimum in the economic load distribution algorithm. The algorithm adopts a nonlinear convergence strategy, a crossover strategy of differential evolution and the introduction of an elimination mechanism, which balances the global search and local exploitation ability of the algorithm and improves the accuracy of the solved optimal solution. The 13-unit and 40-unit systems are selected for economic load distribution calculation, and the experimental results show that the proposed improved algorithm is superior in distributing the economic load of the power system and can effectively reduce the economic cost.

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“…The literature [14] proposes a convergence factor update strategy in the form of a positive exponential with e as the base, the formula is as follows:…”

Section: Improvement Of Convergence Factormentioning

confidence: 99%

An Improved Differential Evolution Whale Algorithm for Economic Load Distribution

Li¹,

Fu²

2022

JCC

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“…The intersection of the two rotating axes (also the center of the fixing mirror) from the ground is called the height of the installation of the fixing mirror. Tower power stations utilize a large number of heliostats to form an array called a heliostat field [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Study on the Optimal Design of Fixed-Sun Mirror Field Based on Variable Step Size Traversal Methods

2023

AJCIS

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China has always made renewable energy an important part of its national energy strategy. In the flood of the times, China has carried out active research and development and innovation in tower power plant and fixed-sun mirror field technology, and has a complete solar energy industry chain. In this paper, a multivariate single-objective optimization model is established by using the geometric projection algorithm, the control variable method, and the variable step size traversal method, etc. The annual average optical efficiency parameter value and the annual average output thermal power in the known data heliostat mirror field are computed and extended to the unit area, which solves the problems of parameter design and mirror field layout setting under the condition that the variables are fixed in the known area heliostat mirror field.

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“…An integrated energy system optimization dispatch model was established to improve the capacity of new energy consumption. In Sun et al (2019), a hierarchical dispatch framework was proposed, and wind power was consumed by dispatching electricity and heat in a cogeneration system with heat energy storage. In Chen X. et al (2020), the coordination of power supply and heat sources was analyzed when the electric load is low during the heating period.…”

Section: Introductionmentioning

confidence: 99%

Research on Optimal Operation of Electricity Heat Hydrogen System Based on Evaluation of New Energy Consumption Potential

2021

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Under the background of the “double high” power system, the electricity heat hydrogen system (EHHS) plays a significant role in the process of energy decarbonization. In order to meet the different optimization objectives of the system under different new energy consumption states, a new energy consumption potential assessment and optimized operation method based on intuitionistic fuzzy rough set theory is proposed. By using the intuitionistic fuzzy rough set theory, the continuous attribute data is divided into different levels and the results of its membership and non-membership are gotten at different levels. The membership results of real-time consumption data are matched with the rule sets, and then the system consumption state judgment result is obtained. In this article, the system consumption situation is divided into five states, and compared with the traditional division method, so the system state can be described more comprehensively. At the same time, the fuzzy set is used to deal with the ambiguity of the boundary between each state. The intuition theory is used to solve the problem of the uncertainty of the consumption state, and then the accurate judgment can be realized. In response to different consumption states, an optimal scheduling model is established in which a hydrogen heat energy system (HHES) is involved to meet different requirements, and a hybrid particle swarm optimization algorithm is used to solve the model. Adopting the IEEE-30 bus system as the network structure of EHHS in the simulation, the analysis shows that the dynamic state division method based on intuitionistic fuzzy rough set theory can better be used to judge the system state according to real-time variable factors. The system optimization based on the consumption state division has the advantages of improving the operating economy and increasing the consumption of new energy.

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Research on Wind Power Consumption Dispatching Based on Improved Whale Optimization Algorithm

Cited by 3 publications

References 2 publications

An Improved Differential Evolution Whale Algorithm for Economic Load Distribution

An Improved Differential Evolution Whale Algorithm for Economic Load Distribution

Study on the Optimal Design of Fixed-Sun Mirror Field Based on Variable Step Size Traversal Methods

Research on Optimal Operation of Electricity Heat Hydrogen System Based on Evaluation of New Energy Consumption Potential

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