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Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies

Submission Deadline: 01 May 2026 View: 893 Submit to Special Issue

Guest Editors

Assoc. Prof. Dongliang Xiao

Email: dxiao@gdut.edu.cn

Affiliation: School of Automation, Guangdong University of Technology, Guangzhou, 510006, China

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Research Interests: renewable energy and power system, electricity market

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Assist. Prof. Hao Wang

Email: Hao.Wang2@monash.edu

Affiliation: Department of Data Science and Artificial Intelligence, Monash University, Melbourne, 3800, Australia

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Research Interests: energy data analytics, power and energy system

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Assist. Prof. Weiqi Hua

Email: w.hua@bham.ac.uk

Affiliation: School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK

Homepage:

Research Interests: energy system modelling and optimisation

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Assist. Prof. Zhenjia Lin

Email: epjack.lin@polyu.edu.hk

Affiliation: Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China

Homepage:

Research Interests: power and energy systems, renewable energy integration

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Summary

The integration of intermittent renewable energy resources (IRERs), such as solar and wind power, into electricity grids is crucial for sustainable and low-carbon energy systems. This research area gains importance as global climate change concerns rise and fossil fuel depletion accelerates. However, the variable and uncertain nature of IRERs poses significant challenges to grid operations, stability, and reliability.

This Special Issue aims to address these challenges by exploring the latest advancements in technologies, policies, and operational strategies for effective grid integration of IRERs. It provides a platform for researchers, policymakers, and industry experts to share innovative solutions and practical experiences.

We invite high-quality research papers and review articles on topics including advanced forecasting techniques, energy storage systems, smart grid technologies, policy instruments for renewable integration, market mechanisms, grid operation strategies, and case studies.

The topics suggested to be covered usually include but are not limited to:
· Advanced forecasting techniques for solar and wind power generation
· Energy storage systems for mitigating intermittency issues
· Smart grid technologies and demand response mechanisms
· Power electronic converters and grid-forming inverters
· Policy instruments and market mechanisms for renewable integration
· Regulatory standards and planning regulations for grid connection
· Operational strategies for voltage and frequency stability control
· Grid congestion management and risk assessment
· Case studies of grid operator experiences and best practices

Keywords

intermittent renewable energy, low-carbon energy systems, forecasting techniques, energy storage, smart grid technologies, electricity market, power electronics, demand response

Published Papers

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Open Access

ARTICLE

Multi-Timescale Coordinated Optimal Dispatch of Active Distribution Networks Incorporating Thermal Storage Electric Heating Clusters
Song Zhang, Yang Yu, Shuguang Li, Xue Li
Energy Engineering, DOI:10.32604/ee.2025.072333
（This article belongs to the Special Issue: Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies)
Abstract Thermal storage electric heating (TSEH), as a prevalent variable load resource, offers significant potential for enhancing system flexibility when aggregated into a cluster. To address the uncertainties of renewable energy and load forecasting in active distribution networks (ADN), this paper proposes a multi-timescale coordinated optimal dispatch strategy that incorporates TSEH clusters. It utilizes the thermal storage characteristics and short-term regulation capabilities of TSEH, along with the rapid and gradual response characteristics of resources in active distribution grids, to develop a coordinated optimization dispatch mechanism for day-ahead, intraday, and real-time stages. It provides a coordinated optimized… More >

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Open Access

ARTICLE

A Regional Distribution Network Coordinated Optimization Strategy for Electric Vehicle Clusters Based on Parametric Deep Reinforcement Learning
Lei Su, Wanli Feng, Cao Kan, Mingjiang Wei, Jihai Wang, Pan Yu, Lingxiao Yang
Energy Engineering, DOI:10.32604/ee.2025.071006
（This article belongs to the Special Issue: Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies)
Abstract To address the high costs and operational instability of distribution networks caused by the large-scale integration of distributed energy resources (DERs) (such as photovoltaic (PV) systems, wind turbines (WT), and energy storage (ES) devices), and the increased grid load fluctuations and safety risks due to uncoordinated electric vehicles (EVs) charging, this paper proposes a novel dual-scale hierarchical collaborative optimization strategy. This strategy decouples system-level economic dispatch from distributed EV agent control, effectively solving the resource coordination conflicts arising from the high computational complexity, poor scalability of existing centralized optimization, or the reliance on local information… More >

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143
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ARTICLE

Improved Gain Shared Knowledge Optimizer Based Reactive Power Optimization for Various Renewable Penetrated Power Grids with Static Var Generator Participation
Xuan Ruan, Han Yan, Donglin Hu, Min Zhang, Ying Li, Di Hai, Bo Yang
Energy Engineering, DOI:10.32604/ee.2025.071166
（This article belongs to the Special Issue: Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies)
Abstract An optimized volt-ampere reactive (VAR) control framework is proposed for transmission-level power systems to simultaneously mitigate voltage deviations and active-power losses through coordinated control of large-scale wind/solar farms with shunt static var generators (SVGs). The model explicitly represents reactive-power regulation characteristics of doubly-fed wind turbines and PV inverters under real-time meteorological conditions, and quantifies SVG high-speed compensation capability, enabling seamless transition from localized VAR management to a globally coordinated strategy. An enhanced adaptive gain-sharing knowledge optimizer (AGSK-SD) integrates simulated annealing and diversity maintenance to autonomously tune voltage-control actions, renewable source reactive-power set-points, and SVG output.… More >

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104
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ARTICLE

Adaptability Analysis of Dual Clearing Systems in Spot Electricity Markets Based on Fuzzy Evaluation Metrics: An Inner Mongolia Case Study
Kai Xie, Shaoqing Yuan, Dayun Zou, Jinran Wang, Genjun Chen, Ciwei Gao, Yinghao Cao
Energy Engineering, DOI:10.32604/ee.2025.070733
（This article belongs to the Special Issue: Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies)
Abstract The construction of spot electricity markets plays a pivotal role in power system reforms, where market clearing systems profoundly influence market efficiency and security. Current clearing systems predominantly adopt a single-system architecture, with research focusing primarily on accelerating solution algorithms through techniques such as high-efficiency parallel solvers and staggered decomposition of mixed-integer programming models. Notably absent are systematic studies evaluating the adaptability of primary-backup clearing systems in contingency scenarios—a critical gap given redundant systems’ expanding applications in operational environments. This paper proposes a comprehensive evaluation framework for analyzing dual-system adaptability, demonstrated through an in-depth case… More >

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150
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ARTICLE

Optimal Operation of Virtual Power Plants Based on Revenue Distribution and Risk Contribution
Heping Qi, Wenyao Sun, Yi Zhao, Xiaoyi Qian, Xingyu Jiang
Energy Engineering, DOI:10.32604/ee.2025.069603
（This article belongs to the Special Issue: Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies)
Abstract Virtual power plant (VPP) integrates a variety of distributed renewable energy and energy storage to participate in electricity market transactions, promote the consumption of renewable energy, and improve economic efficiency. In this paper, aiming at the uncertainty of distributed wind power and photovoltaic output, considering the coupling relationship between power, carbon trading, and green card market, the optimal operation model and bidding scheme of VPP in spot market, carbon trading market, and green card market are established. On this basis, through the Shapley value and independent risk contribution theory in cooperative game theory, the quantitative… More >
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Grid Integration of Intermittent Renewable Energy Resources: Technologies, Policies, and Operational Strategies

Guest Editors

Summary

Keywords

Published Papers

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262

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111

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266

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143

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238

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104

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323

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150

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580

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231

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