Evolutionary Priority-Based Dynamic Programming for the Adaptive Integration of Intermittent Distributed Energy Resources in Low-Inertia Power Systems

• Published in: Eng (Basel, Switzerland) Switzerland), 2021-12, Vol.2 (4), p.643-660
• Main Authors: Nikolaidis, Pavlos, Poullikkas, Andreas
• Format: Article
• Language: English
• Subjects: Algorithms; Alternative energy sources; artificial intelligence models; Boolean; Boolean algebra; Boolean mapping; Complexity; Distributed generation; Dynamic programming; Electric power grids; Exploitation; global optimization; Heuristic; Inertia; Linear programming; Load fluctuation; Methods; Minimum cost; Neural networks; Optimization; Optimization techniques; Power dispatch; Power flow; Renewable energy sources; Renewable resources; Schedules; Unit commitment
• ISSN: 2673-4117; 2673-4117
• DOI: 10.3390/eng2040041

The variability and uncertainty caused by the increased penetrations of renewable energy sources must be properly considered in day-ahead unit commitment, optimal power flow, and even real-time economic dispatch problems. Besides achieving minimum cost, modern generation schedules must satisfy a larger set of different complex constraints. These account for the generation constraints in the presence of renewable generation, network constraints affected by the distributed energy resources, bilateral contracts enclosing independent capacity provision, ancillary power auctions, net-metering and feed-in-tariff prosumers, and corrective security actions in sudden load variations or outage circumstances. In this work, a new method is presented to appropriately enhance the integration of distributed energy resources in low-inertia power grids. Based on optimal unit commitment schedules derived from priority-based dynamic programming, the potential of increasing the renewable capacity was examined, performing simulations for different scenarios. To ameliorate the expensive requirement of computational complexity, this approach aimed at eliminating the increased exploration-exploitation efforts. On the contrary, its promising solution relies on the evolutionary commitment of the next optimum configuration based on priority-list schemes to accommodate the intermittent generation progressively. This is achieved via the collection of mappings that transform many-valued clausal forms into satisfiability equivalent Boolean expressions.