Energy internet or comprehensive energy network?

Self Cite

A reasonable islanding strategy of a power system is the final resort for preventing a cascading failure and/or a large-area blackout from occurrence. In recent years, the applications of wide area measurement systems (WAMS) in emergency control of power systems are increasing. Therefore, a new WAMS-based controlled islanding scheme for interconnected power systems is proposed. First, four similarity indexes associated with the trajectories of generators are defined, and the weights of these four indexes are determined by using the well-developed entropy theory. Then, a coherency identification algorithm based on hierarchical clustering is presented to determine the coherent groups of generators.Secondly, an optimization model for determining controlled islanding schemes based on the coherent groups of generators is developed to seek the optimal cutset. Finally, a 16-generator 68-bus power system and a reduced WECC 29-unit 179-bus power system are employed to demonstrate the proposed WAMS-based controlled islanding schemes, and comparisons with existing slow coherency based controlled islanding strategies are also carried out.

Section: -Generator 68-bus Sample Power Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Controlled islanding schemes for interconnected power systems based on coherent generator group identification and wide-area measurements

Lin

Wen

Zhao

et al. 2016

Self Cite

“…In this way, transmission congestion can be avoided or alleviated [9]. In the future, P2G technology will play an important role in realizing comprehensive optimization of multiple energy sources, and accordingly, P2G technology and coordinated operation of integrated electric power and natural gas networks (IPGNs) will become research priorities in support of this goal [10,11].…”

Section: Introductionmentioning

confidence: 99%

Coordinated optimal dispatch and market equilibrium of integrated electric power and natural gas networks with P2G embedded

Chen

Zhang

et al. 2017

As power to gas (P2G) technology gradually matures, the coupling between electricity networks and natural gas networks should ideally evolve synergistically. With the intent of characterizing market behaviors of integrated electric power and natural gas networks (IPGNs) with P2G facilities, this paper establishes a steady-state model of P2G and constructs optimal dispatch models of an electricity network and a natural gas network separately. In addition, a concept of slack energy flow (SEF) is proposed as a tool for coordinated optimal dispatch between the two networks. To study how the market pricing mechanism affects coordinated optimal dispatch in an IPGN, a market equilibrium-solving model for an IPGN is constructed according to game theory, with a solution based on the Nikaido-Isoda function. Case studies are conducted on a joint model that combines the modified IEEE 118-node electricity network and the Belgian 20-node gas network. The results show that if the game between an electric power company and a natural gas company reaches market equilibrium, not only can both companies maximize their profits, but also the coordinated operation of the coupling units, i.e., gas turbines and P2G facilities, will contribute more to renewable energy utilization and carbon emission reduction.Keywords Integrated electric power and natural gas networks (IPGNs), Market equilibrium, Power to gas (P2G), Slack energy flow (SEF)

“…1, with the aim of enabling wide-area monitoring, protection and control and enhancing the overall performance of power grids. To realize these great potentials, efficient measurement and communication systems are demanded [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Data quality issues for synchrophasor applications Part II: problem formulation and potential solutions

Huang

Zhan

et al. 2016

This work investigates the data quality issue for synchrophasor applications, and pays particular attention to synchronization signal loss and synchrophasor data loss events. First, the historical synchronization signal loss events are analyzed and the potential reasons and solutions are discussed. Then, the scenario of a small amount of synchrophasor data loss is studied and a Lagrange interpolating polynomial method is used to adaptively estimate the incomplete and missing data. The performance of proposed method is demonstrated with simulation results. Specifically, the proposed method considers the trade-off between the estimation accuracy and the hardware cost, and could be efficiently employed in reality.