{"title":"Research on Optimal Allocation of Renewable Energy and Energy Storage in Large-Scale Parks Considering Grid-Connected Fluctuations","authors":"Shibo Li, Yuchen Zhang, Genzhu Xu","doi":"10.1155/er/1255228","DOIUrl":null,"url":null,"abstract":"<div>\n <p>At present, the energy consumption of the park has been increasing worldwide. In order to respond to the call of the two-carbon plan and promote the development of the new energy structure of the park, a feasible design of energy complementarity is proposed. This paper mainly studies the sustainable development of the park and improves the energy topology of the park by constructing a complementary power generation system of wind–solar renewable energy and energy storage. In the study, it was found that due to the natural characteristics of wind and solar energy generation, energy supply would fluctuate accordingly, and the traditional energy storage system could not meet the economic benefits, and the energy utilization rate was not high, so hybrid energy storage was used as an alternative. In addition, for better handling the problem of energy storage power distribution, this paper adopted multiscale morphological method, which was decomposed into linear structure elements and triangular structure elements for analysis and comparison. In order to deal with the constraint problem of energy storage system, an improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm based on spatial transformation was proposed, which solved the defect that traditional NSGA-II algorithm could not effectively meet the constraint and protect the operation of microgrid. The simulation results show that the improved NSGA-II algorithm has significant advantages in dealing with strong constraints, and the complementary power generation system with it saves 31,040.9¥ in economic cost, with considerable economic benefits. The maximum 1-min fluctuation of energy supply is reduced to 1.45%, and the maximum 10-min fluctuation is reduced to 5.69%, effectively improving the quality of clean electric energy. This research promotes the energy utilization of the park and creates important conditions for the subsequent energy exploration and development.</p>\n </div>","PeriodicalId":14051,"journal":{"name":"International Journal of Energy Research","volume":"2025 1","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/er/1255228","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Energy Research","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/er/1255228","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
At present, the energy consumption of the park has been increasing worldwide. In order to respond to the call of the two-carbon plan and promote the development of the new energy structure of the park, a feasible design of energy complementarity is proposed. This paper mainly studies the sustainable development of the park and improves the energy topology of the park by constructing a complementary power generation system of wind–solar renewable energy and energy storage. In the study, it was found that due to the natural characteristics of wind and solar energy generation, energy supply would fluctuate accordingly, and the traditional energy storage system could not meet the economic benefits, and the energy utilization rate was not high, so hybrid energy storage was used as an alternative. In addition, for better handling the problem of energy storage power distribution, this paper adopted multiscale morphological method, which was decomposed into linear structure elements and triangular structure elements for analysis and comparison. In order to deal with the constraint problem of energy storage system, an improved Non-dominated Sorting Genetic Algorithm-II (NSGA-II) algorithm based on spatial transformation was proposed, which solved the defect that traditional NSGA-II algorithm could not effectively meet the constraint and protect the operation of microgrid. The simulation results show that the improved NSGA-II algorithm has significant advantages in dealing with strong constraints, and the complementary power generation system with it saves 31,040.9¥ in economic cost, with considerable economic benefits. The maximum 1-min fluctuation of energy supply is reduced to 1.45%, and the maximum 10-min fluctuation is reduced to 5.69%, effectively improving the quality of clean electric energy. This research promotes the energy utilization of the park and creates important conditions for the subsequent energy exploration and development.
期刊介绍:
The International Journal of Energy Research (IJER) is dedicated to providing a multidisciplinary, unique platform for researchers, scientists, engineers, technology developers, planners, and policy makers to present their research results and findings in a compelling manner on novel energy systems and applications. IJER covers the entire spectrum of energy from production to conversion, conservation, management, systems, technologies, etc. We encourage papers submissions aiming at better efficiency, cost improvements, more effective resource use, improved design and analysis, reduced environmental impact, and hence leading to better sustainability.
IJER is concerned with the development and exploitation of both advanced traditional and new energy sources, systems, technologies and applications. Interdisciplinary subjects in the area of novel energy systems and applications are also encouraged. High-quality research papers are solicited in, but are not limited to, the following areas with innovative and novel contents:
-Biofuels and alternatives
-Carbon capturing and storage technologies
-Clean coal technologies
-Energy conversion, conservation and management
-Energy storage
-Energy systems
-Hybrid/combined/integrated energy systems for multi-generation
-Hydrogen energy and fuel cells
-Hydrogen production technologies
-Micro- and nano-energy systems and technologies
-Nuclear energy
-Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass)
-Smart energy system