Security-Constrained Optimal Operation of Energy-Water Nexus based on a Fast Contingency Filtering Method
Water and power systems are increasingly interdependent due to the growing number of electricity-driven water facilities. The security of one system can be affected by a contingency in the other system. This paper investigates a security-constrained operation problem of the energy-water nexus (EWN), which is a computationally challenging optimization problem due to the nonlinearity, nonconvexity, and size. We propose a two-step iterative contingency filtering method based on the feasibility and rating of the contingencies to decrease the size of the problem. The optimal power and water flow are obtained in a normal situation by considering the set of contingencies that can not be controlled with corrective actions. The feasibility check of the contingencies is performed in the second step, followed by a rating of the uncontrollable contingencies. Finally, the critical contingencies are obtained and added to the first step for the next iteration. We also employ convex technologies to reduce the computation burden. The proposed method is validated via two case studies. Results indicate that this approach can efficiently attain optimal values.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
A network-constrained rolling transactive energy model for EV aggregators participating in balancing marke
The increasing adoption of renewable energy sources increases the need for balancing power. The security concerns of the distribution system operators are increasing due to fast adoption of distributed energy resources. …
ManagementEnvisioning security control in renewable dominated power systems through stochastic multi-period AC security constrained optimal power flow
The accelerated penetration rate of renewable energy sources (RES) brings environmental benefits at the expense of increasing operation cost and undermining the satisfaction of the N-1 security criterion. To address the …
ManagementCPES-QSM: A Quantitative Method Towards the Secure Operation of Cyber-Physical Energy Systems
Power systems are evolving into cyber-physical energy systems (CPES) due to the integration of modern communication and Internet-of-Things (IoT) devices. CPES security evaluation is challenging since the physical and cyb…
Decision MakingOptimal Energy Scheduling and Sensitivity Analysis for Integrated Power-Water-Heat Systems
The conventionally independent power, water, and heating networks are becoming more tightly connected, which motivates their joint optimal energy scheduling to improve the overall efficiency of an integrated energy syste…
SchedulingSensitivityDeep Reinforcement Learning based Optimal Control of Hot Water Systems
Energy consumption for hot water production is a major draw in high efficiency buildings. Optimizing this has typically been approached from a thermodynamics perspective, decoupled from occupant influence. Furthermore, o…
Deep Reinforcement Learningreinforcement-learningReinforcement LearningReinforcement Learning (RL)