Advanced Planning, Operation and Control Methods for Sustainable Power Systems

Dear Colleagues,

As global efforts toward carbon neutrality accelerate, modern power systems are undergoing a fundamental transformation. The increasing penetration of intermittent and weather-dependent renewable energy sources is reshaping the structure, dynamics, and operational mechanisms of power systems. The randomness of renewable energy, the proliferation of distributed energy resources, and the increased coupling among multi-regional power grids have significantly increased the complexity, uncertainty, and coordination challenges in the planning, operation, and control of modern sustainable power systems. These challenges demand higher levels of flexibility, reliability, economic stability, and resilience to guarantee a more secure and reliable power supply.

Thus, this Special Issue will focus on discussing various relevant topics associated with the advanced theories and technologies that enable robust, adaptive, and sustainable power system planning, operation, and control to achieve flexible adjustability of clean energy, resilient grid structure, proactive management of the demand side, and coordinated control of various flexible resources. It will emphasize interdisciplinary approaches involving electrical engineering, artificial intelligence, atmospheric science, and operations research to develop holistic solutions to sustainable power systems with a high proportion of renewable energy. For this Special Issue, we solicit original research papers that target, but are not restricted to, the following topics:

• Multi-type flexible resources planning in power systems.
• Coordinated planning and multi-level autonomous operation technologies for transmission and distribution systems.
• Operation and planning of multi-dimensional security/stability-constrained power systems.
• Climate-resilient power system planning.
• Modeling and characterization of multi-temporal/spatial uncertainties.
• Probabilistic modeling and prediction of renewable energy uncertainty.
• Source–grid–load–storage interaction mechanisms for the efficient integration of high-penetration renewable energy.
• Optimal scheduling of power systems considering source-load uncertainty.
• Power and energy balance risk assessment, supply security evaluation, and early warning under extreme events.
• Artificial intelligence for the planning, operation, and control of the decision-making processes of sustainable power systems.
• Fusion of learning and optimization methods for the operation and control of power systems.
• Control technologies and optimization algorithms for regional power systems with high penetration of renewable energy.
• Control strategies for the grid-connected operation of wind turbines and PV generators.

Dr. Wei Dai
Dr. Wei Lin
Dr. Lun Yang
Dr. Qian Jiang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.