Fault detection is essential in microgrid control and operation, as it enables the system to perform fast fault isolation recovery. The adoption of inverter-interfaced distributed generation microgrids makes traditional schemes inappropriate due their dependence on significant currents. In this paper, we devise an intelligent scheme for based wavelet transform deep neural networks. proposed aims provide type, phase, location information protection service scheme, branch current measurements...

Truck-mounted mobile emergency generators (MEGs) are critical flexibility resources of distribution systems (DSs) for resilient response to natural disasters. However, they currently under-utilized. For better utilization, this paper proposes dispatching MEGs as distributed in DSs restore loads by forming multiple microgrids (MGs). As the travel time on road networks (RNs) can greatly influence outage duration loads, a two-stage dispatch framework consisting pre-positioning and real-time...

Mobile power sources (MPSs), including electric vehicle fleets, truck-mounted mobile energy storage systems, and emergency generators, have great potential to enhance distribution system (DS) resilience against extreme weather events. However, their dispatch is not well investigated. This paper implements resilient routing scheduling of MPSs via a two-stage framework. In the first stage, i.e., before event, are pre-positioned in DS enable rapid pre-restoration, order survivability...

State estimation is critical to the operation and control of modern power systems. However, many cyber-attacks, such as false data injection attacks, can circumvent conventional detection methods interfere normal grids. While there exists research focusing on detecting attacks in dc state estimation, attack ac systems also critical, since more widely employed utilities. In this paper, we propose a new mechanism for estimation. When malicious are injected vectors, their spatial temporal...

Repair crews (RCs) and mobile power sources (MPSs) are critical resources for distribution system (DS) outage management after a natural disaster. However, their logistics have not been well investigated. We propose resilient scheme disaster recovery to co-optimize DS restoration with the dispatch of RCs MPSs. A novel co-optimization model is formulated route MPSs in transportation network, schedule them DS, reconfigure microgrid formation coordinately, etc. The incorporates different...

Global warming and environmental pollution concerns have promoted dramatic integrations of renewable energy sources all over the world. Associated with benefits conservation, essentially uncertain variable characteristics such resources significantly challenge operation power systems. In order to implement reliable economical operations, a robust reserve dispatch (RERD) model is proposed in this paper, which operating decisions are divided into pre-dispatch re-dispatch. A feasibility...

Extreme weather events, many of which are climate change related, occurring with increasing frequency and intensity causing catastrophic outages, reminding the need to enhance resilience power systems. This paper proposes a proactive operation strategy system during an unfolding extreme event. The uncertain sequential transition states driven by evolution events is modeled as Markov process. At each decision epoch, topology used construct state. Transition probabilities evaluated according...

Network reconfiguration is an effective strategy for different purposes of distribution systems (DSs), e.g., resilience enhancement. In particular, DS automation, distributed generation integration and microgrid (MG) technology development, etc., are empowering much more flexible operation the system, DSs or MGs with boundaries. However, formulation reconfiguration-related optimization problems to include those new flexibilities non-trivial, especially issue topology, which has be radial....

With the promises of smart grids, power can be more efficiently and reliably generated, transmitted, consumed over conventional electricity systems. Through two-way flow information between suppliers consumers, grids also adapt readily to increased penetration renewable energy sources encourage users' participation in savings cooperation through demand-response (DR) mechanism. An important issue is therefore how manage DR reduce peak load hence future investment thermal generations...

Voltage and frequency fluctuation associated with renewable integration have been well identified by power system operators planners. At the microgrid level, a novel device for implementation of dynamic load response, which is known as electric springs (ES), has developed mitigating both active reactive imbalances. In this paper, comprehensive control strategy proposed ES to participate in voltage response control. It adopts phase angle amplitude respectively adjust system. The validated...

The uncertain nature of wind power causes difficulties in system operation scheduling. Probabilistic descriptions the uncertainty have been studied for decades. However, probabilistic forecasts designed regional multiple farms are few. Although traditional methods single farm can still be used, they limitations capturing spatial correlations among farms, and less robust when multivariate observations not so complete. To improve forecast quality this case, we combine distribution modeling...

Growing penetration of renewable distributed generation, a major concern nowadays, has played critical role in distribution system operation. This paper develops state-based sequential network reconfiguration strategy by using Markov decision process (MDP) model with the objective minimizing generation curtailment and load shedding under operational constraints. Available power outputs generators topology each time are represented as states, which driven to other states next consideration...

Wind energy is rapidly growing. While wind brings us clean and inexpensive energy, its inherent variability uncertainty present challenges for the power grid. In particular, employing system restoration very challenging. A fast reliable plays a vital role to achieve self-healing This paper develops novel offline planning tool harnessing enhance grid resilience. The wind-for-restoration problem formulated as stochastic mixed-integer linear programming with generated scenarios. then decomposed...

With growing penetration of renewable distributed generations (DGs) in distribution systems, effective integration DGs has become a major concern. Distribution system dynamic reconfiguration (DSDR), which relies on real-time operations remote-controlled switches, is potentially an efficient strategy receiving inadequate attention. Moreover, most DSDR-related publications, normally all switches are assumed remotely controllable, not practical. Here we borrow the concept critical to denote...

Remote-controlled switches (RCSs) play an important role in prompt service restoration of distribution systems (DSs). However, the cost RCSs and vast footprint DSs limit widespread utilization RCSs. In this paper, we present a new approach to RCS allocation for improving performance optimizing reliability benefits with reasonable cost. Specifically, optimal number locations to-be-upgraded can be determined different objectives: maximizing reduction customer interruption cost; system average...

Weak ac grid operation is known to challenge the stability of voltage source converters (VSCs). This paper provides an interpretation for cause such instability in view a particular modal resonance within VSC's control, i.e., between dc-link control (DVC) and synchronizing control-phase-locked loop (PLL). To characterize this interaction, two degrees-of-freedom mass-spring-damper model first proposed. Subsequently, based on multi-modal decomposition approach, amount interaction quantified by...

Customer baseline load (CBL) estimation is very important in demand response (DR) program. Due to the increasing installation of distributed photovoltaic system (DPVS), patterns residential customers become more complex and random. The actual power customer coupled with DPVS output power, which makes it difficult estimate CBL. Since electricity meter can only measure net data, this article proposes a PV-load decoupling approach improve CBL accuracy presence DPVS. difference between so...

Distributed generator (DG) volatility has a great impact on system operation, which should be considered beforehand due to the slow time scale of distribution network reconfiguration (DNR). However, it is difficult derive accurate probability distributions (PDs) for DG outputs and loads analytically. To remove assumptions PD knowledge, deep neural first devised learn reference joint from historical data in an adaptive way. The along with forecast errors are enveloped by distributional...

Coordination efficiency between different energy sectors with privacy preservation has become a technical bottleneck in distributed operation of the integrated electricity and heat systems (IEHS). This article investigates, for first time, an equivalent model-based non-iterative solution this issue. An model district heating networks (DHNs) retaining temperature quasi-dynamics is derived. Based on equivalence, all state variables DHNs are explicitly expressed by power generation, feasible...

Electric buses (EBs) have been widely adopted in public transit. EBs can feed power back to the distribution system (DS) at a charging station and serve as temporary mobile sources (MPSs), such hurricanes. Thus, they great potential enhance grid resilience against meteorological disasters. This article proposes DS restoration method for enhancing considering routing scheduling of group EBs. To maintain function transit, we establish an EB problem (EBSP) with predetermined optional service...

System restoration involves status assessment, optimization of generation capability, and load pickup. The problem needs to take complex constraints into consideration, therefore, it is not practical formulate the as one single problem. other critical consideration for development decision support tools its generality, i.e., should be portable from a system another with minimal customization. This paper reports methodology construction strategies. strategy adopted by each power differs,...

An improved approach based on sequential method for the AC-DC power flow calculation is proposed in this paper. This solves convergence problem caused by voltage violations at AC buses during DC subsystems. The property can be significantly adjusting converter transformer tap position flexibly. In order to adjust of flexibly, three mainly modifications are proposed. Firstly, equations whole systems decoupled into individual so as easily figure out which system's needs adjustment. Secondly,...