Yusheng Xue

• PhD
• CEO at State Grid Electric Power Research Institute

During the whole restoration procedure of power systems, i.e., from the initial blackout to the complete restoration, coordinating the full-stage restoration of coupled transmission and distribution systems (CT&DSs) and dealing with multiple kinds of uncertainties are challenging problems to solve. Given this background, a triple-level full-stage a...

Carbon capture, utilization, and storage (CCUS) is one of the crucial approaches for the low carbon devel-opment of coal power, and the large-scale development of coal power with CCUS is one of the key measures for the low carbon power transition. Based on a power transition technology-economy-emission simulation model considering coal power with C...

The carbon market plays a critical role in promoting the transition toward renewable energy sources and reducing greenhouse gas emissions in the electricity generation and transmission. Extant research has overlooked the dynamic bilateral causality that exists between electricity and carbon markets. Moreover, these studies have frequently treated t...

With the increase in the permeability of renewable energy and the frequency of extreme weather, the power system requires a large amount of flexible power regulation capacity. In order to realize the multi-day cooperation of reserve resources, the stochastic optimization of medium- and short-term reserve arrangement considering the typhoon uncertai...

Different from the cyber-physical system (CPS), the cyber-physical-social system (CPSS) must consider the influence of rational and irrational behaviors of participants. It is difficult to support the research on CPSS by using theoretical analysis, model simulation, experimental economics or data-driven method separately. The hybrid simulation meth...

With the growing interdependence between the electricity system and the natural gas system, the operation uncertainties in either subsystem, such as wind fluctuations or component failures, could have a magnified impact on the reliability of the whole system due to energy interactions. A joint reserve scheduling model considering the cross-sectoria...

Cyber-physical-social system (CPSS) is based on cyber-physical system (CPS), adding social elements such as policies and behaviors, while breaking down barriers between fields and treating generalized physical systems as a whole. All related research and application are inseparable from the support of simulation tools. To this end, a unified simula...

Non‐intrusive load monitoring (NILM) is essential for understanding consumer power consumption patterns and may have wide applications such as in carbon emission reduction and energy conservation. Determining NILM models requires massive load data containing different types of appliances. However, inadequate load data and the risk of power consumer...

The decreasing cost of solar photovoltaics (PVs) and battery storage systems is driving their adoption in the residential distribution system, where more consumers are becoming prosumers. Accompanying this trend is the potential roll-out of home energy management systems (HEMSs), which provide a means for prosumers to respond to externalities such...

As typical prosumers, commercial buildings equipped with electric vehicle (EV) charging piles and solar photovoltaic panels require an effective energy management method. However, the conventional optimization-model-based building energy management system faces significant challenges regarding prediction and calculation in online execution. To addr...

The quantitative analysis of the low-carbon energy transition is crucial for providing decision-support for energy planning and policy-making. This study presented an approach for quantitative analysis of energy transition, involving dynamic simulation model, mathematical methods of describing the energy transition targets and pathways, boundary co...

The development of renewable energy and the increasing peak-valley difference of load demand lead to an increasing requirement of spinning reserve (SR). However, the traditional operation reliability analysis of power system mainly focuses on the up SR and neglects the down SR. Therefore, the operation reliability of power system considering the im...

The optimization of trans-regional electricity transmission scale of China’s Western renewable energy base is crucial to drive China's energy revolution. Currently, the regional power planning or optimization is aimed at minimizing the total economic cost, without taking the cost and benefit of transregional electricity transmission into account. I...

With the rapid deployment of the advanced metering infrastructure (AMI) and distribution automation (DA), self-healing has become a key factor to enhance the resilience of distribution networks. Following a permanent fault occurrence, the distribution network operator (DNO) implements the self-healing scheme to locate and isolate the fault and to r...

With the decreasing cost of solar photovoltaics (PV) and battery storage systems, more and more prosumers appear in the distribution systems. Accompanying with it is the trend of using home energy management systems (HEMS). HEMS technologies can help the households to schedule their energy prosumption with aims such as reduced electricity bills or...

Affected by the nonlinear time-varying factors due to fault scenarios, protection relaying, and control measures, the dynamic behaviors of a power system may be significantly different from the results of previous methods. In order to analyze the oscillation characteristics of complex power systems more accurately and suppress the low frequency osc...

Low-frequency oscillation is usually regarded as a small disturbance problem. Traditional methods describe oscillation through eigenvalues obtained by linearized equations at the equilibrium point. Obviously, nonlinear time-varying factors are ignored. This article introduces a trajectory section eigenvalue method that can reflect the influences of...

In the case filtering link, as many stable and unstable cases as possible can be identified rapidly through qualitative machine learning or quantitative approximate analysis so that the number of cases requiring detailed analysis and the total computational burden can be reduced. This paper discusses the adopted assumptions, characteristic variable...

Cascading failure analyses are mainly based on simultaneous or quasi-steady-state (QSS) assumptions, which are inappropriate in cases of rapid cascading failure analysis and control. Fault interval is considered in the stability analysis of cascading failure for the first time in this article. Based on the extended equal area criterion (EEAC), a tr...

Conventional unit commitment is a mixed integer optimization problem and has long been a key issue for power system operators. The complexity of this problem has increased in recent years given the emergence of new participants such as large penetration of plug-in electric vehicles. In this paper, a new model is established for simultaneously consi...

The clean transition of GenCo is affected by various uncertainties such as strategies of other participants, power grid development, policies, and power demand, among which, being the most direct stakeholders in electricity market, other participants’ generation investment is crucial. This paper simulates the dynamic trajectories of installed capac...

The fast optimisation of transient stability emergency control (TSEC) strategy is a key factor of online safeguard for AC–DC interconnected systems. An engineering applicable TSEC algorithm has to obtain the disturbed trajectories of the system by numerical integration, and then do quantised stability knowledge mining. Theoretical analysis and simu...

In the full process of extended equal area criterion (EEAC) algorithm, dynamic EEAC (DEEAC) is the bridge between analytical static EEAC (SEEAC) and accurate integrating EEAC (IEEAC). For better coordinating the accuracy of IEEAC and the speedability of SEEAC, the influence of the subsection number of DEEAC on the performance of full EEAC is studie...

The clean transition of traditional coal-dominated GenCos plays critical role in national energy transition. However, the formulation of strategy is dominated by qualitative analysis, which lacks the ability to quantify key operation indicators in a complex transition process. This paper develops a computer simulation tool for the study of medium a...

The low-carbon transition of the power system plays critical role in energy system transition. In 2016, the Chinese government proposed an ambitious low-carbon energy transition strategy by 2030. However, relevant researches remain at the level of qualitative analysis. This paper proposes a quantitative analysis approach for assessing China’s power...

A microgrid is a small-scale power system that can flexibly accommodate high penetration and utilization of renewable energy generation, and operate with a high efficiency as well as act as a stand-alone island. With the ever-increasing capacity of a microgrid with high penetration of renewable energy generation, the feasibility of the microgrid ac...

Investment for renewables has been growing rapidly since the beginning of the new century, and the momentum is expected to sustain in order to mitigate the impact of anthropogenic climate change. Transition towards higher renewable penetration in the power industry will not only confront technical challenges, but also face socio-economic obstacles....

In the global context of climate change mitigation and carbon emissions control, a carbon market risk analysis and control framework is in urgent need considering the seriousness of climate change problem, the solemnity of national political commitment or the urgency of sustainable development of energy industry. As the first part of a series of pa...

As a sequel to the previous paper, based on the dynamic simulation platform for macro energy systems (DSMES), this paper constructs a carbon market model which can simulate micro-trading behavior, according to the European Union Emissions Trading System (EU ETS) and relevant specific data. Based on this model, the dynamic impacts of the global fina...

A cyber physical distribution power system (CPDS) is a large and complex infrastructure that coordinates the cyber communication system and the physical distribution power system. Because of the increasingly advanced information communication technology (ICT), the development of cyber physical distribution power system has caused key cyber security...

As one of potential operating reserve measures with comparative capacity in future power systems, the operation of electric vehicles (EVs) should follow their users' willingness in travel and charge. Therefore, it is only reasonable to analyze the capability of EV as a reserve measure under a suitable market mechanism in which users' willingness is...

With the development of power-to-gas technology, the coupling between a power system and a natural gas system concerned is gradually strengthened. The traditional mode of separately planning a power system and a natural gas system is no longer applicable for a closed-loop operated electricity-natural gas energy system or an integrated electricity-g...

Uncertainties, especially the uncertainties of human behavior, introduce great challenges to energy transition analysis. This paper discusses the nature of uncertainty in terms of randomness and vagueness; analyzes the sources of uncer-tainty in terms of model and parameters, operation conditions, disturbances (failures), viewpoints of stakeholders...

This paper extracts the elements of energy transition issue, emphasizing that the behaviors of stakeholders such as policy makers, and energy suppliers can impact the energy transition dynamic significantly. The main aims (explanation, prediction, projection, and optimization), contents, and challenges of energy transition researches are presented,...

An electric vehicle (EV) centred ecosystem has not yet been formed, the existing limited statistic data are far from enough for the analysis of EV users’ travel and charge behaviors, which however tends to be affected by many certain and uncertain factors. An experimental economics (EE) based simulation method can be used to analyze the behaviors o...

Driven by its fast-growing high-tech industry during the 2010s, China has witnessed an upsurge in data rates from online shopping, mobile Internet services, and industrial informatization, among other uses. As awareness of big data has increased, multiple industries have begun to embrace analytics to exploit value from all these data. The electric...

Efficient stable case screening algorithm can reduce the computational burden of transient stability assessment if the actual unstable fault is not recognized as stable. The quantization accuracy can be improved while both the integral and mapping steps decrease in extended equal area criterion (EEAC) algorithm. However, when the integral and mappi...

With the ever-increasing penetration level of renewable generation sources, power systems are facing more inevitable uncertainties which could lead to weakly damped oscillations. Detecting coherency among synchronous generators is one of the key steps of situational awareness for power systems with a very high level of renewable penetration. In thi...

Power system restoration comprises of three stages, i.e. the preparation stage, system restoration stage, and load restoration stage. This paper addresses the first two stages by a new skeleton-network restoration strategy considering the generator start-up sequence and load pickup. The proposed restoration strategy consists of three mathematical m...

In this paper, a two-stage optimal charging scheme based on transactive control is proposed for the aggregator to manage day-ahead electricity procurement and real-time EV charging management in order to minimize its total operating cost. The day-ahead electricity procurement considers both the day-ahead energy cost and expected real-time operation...

The wide area measurement system (WAMS) provides a new data acquisition and supervisory control tool for a power system, and the data acquisition level is increased dramatically with its development in the smart grid environment. Huge data associated with power system operation are acquired, which are beneficial for enhancing situational awareness...

Since the information layer and the physical layer in the cyber physical power system (CPPS) are closely coupled, the failure of cyber or physical system will seriously affect the normal operation of power system. This paper proposes a correlation characteristic matrix based modeling method for the coupling system to comb and quantify the complex i...

In recent years, the increasing penetration level of renewable generation and combined heat and power (CHP) technology in power systems is leading to significant changes in energy production and consumption patterns. As a result, the integrated planning and optimal operation of a multi-carrier energy (MCE) system have aroused widespread concern for...

fig position="float" orientation="portrait"> Smart grids (SGs) are electric networks that use innovative and intelligent monitoring, control, communication, and self-healing technologies to deliver better connections and operations for generators and distributors, flexible choices for prosumers, and reliability and security of electricity supply. S...

An ultra‐short‐term wind speed forecasting method based on spatial and temporal correlation models is proposed. Firstly, the temporal correlation model was studied. The generalised distance of wind speed time series is defined based on the dynamic time warping distance and correlation coefficient. Samples with similar wind dynamic patterns are clas...

Climate change has become one of the most important issues for the sustainable development of social well-being. China has made great efforts in reducing CO2 emissions and promoting clean energy. Pilot Emission Trading Systems (ETSs) have been launched in two provinces and five cities in China, and a national level ETS will be implemented in the th...

Unit commitment is a traditional mixed-integer non-convex problem and remains a key optimisation task in power system scheduling. The high penetration of intermittent renewable generations such as wind and solar as well as mass roll-out of plug-in electric vehicles (PEVs) impose significant challenges to the traditional unit commitment problem, not...

The state-of-the-art development of spatial correlation based wind speed prediction is reviewed. And the concepts of conditional correlation and its corresponding confidence correlation are introduced to improve traditional spatial correlation. Based on big-data thinking, a framework of integrating data-driven with causality-driven wind speed predi...

The increasing number of distributed energy resources such as electric vehicles and heat pumps connected to power systems raises operational challenges to the network operator, for example, introducing grid congestion and voltage deviations in the distribution network level if their operations are not properly coordinated. Coordination and control...

Regarded as a long-term, large capacity energy storage solution, commercialized power-to-gas (PtG) technology has attracted much research attention in recent years. PtG plants and natural gas-fired power plants can form a close loop between an electric power system and a natural gas network. An interconnected multi-energy system is believed to be a...

Identification of coherent generators (CGs) in power systems is one of the key steps in determining controlled islanding strategies. In this study, a wide-area measurement system (WAMS) and agglomerative hierarchical clustering (AHC) algorithm based coherency identification method is presented for interconnected power systems with aggregated renewa...

The electric vehicle (EV) market has been growing rapidly around the world. With large scale deployment of EVs in power systems, both the grid and EV owners will benefit if the flexible demand of EV charging is properly managed through the electricity market. When EV charging demand is considerable in a grid, it will impact spot prices in the elect...

The comprehensive energy system, which can coordinate multiple types of energy and be characterized by a deep integration of “cyber-physical-social” systems, is emerging. There is therefore an urgent need to conduct in-depth study on data science and big data mining for energy systems. This paper presents an initial discussion on data science and i...

This paper proposes a combined wind farm controller based on Model Predictive Control (MPC). Compared with the conventional decoupled active and reactive power control, the proposed control scheme considers the significant impact of active power on voltage variations due to the low X=R ratio of wind farm collector systems. The voltage control is im...

Significant penetration of renewable generations (RGs) and mass roll-out of plug-in electric vehicles (PEVs) will pay a vital role in delivering the low carbon energy future and low emissions of greenhouse gas (GHG) that are responsible for the global climate change. However, it is of considerable difficulties to precisely forecast the undispatchab...

Randomness exists extensively in nature, engineering and social systems, the power system not excepted. Randomness has gradually taken into consideration in power system analysis since the 1970s, with emphasis on analysis of steady-state random problems while research on power system dynamics is still based on the deterministic theory. In recent ye...

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 r...

Recent years have witnessed the development and commercialization of power-to-gas (PtG) technology, which has made possible the interconnection within a combined multi-energy system. However, innovative as PtG is in terms of consumption, storage and transportation, its popularization is way ahead. This is because of the technical bottleneck of inst...

As an effective measure for regulating the greenhouse gas emissions, Emission Trading Scheme (ETS) has been widely implemented. Market designers and participants are in urgent need of decision-support tools with quantitative risk analysis capability. However, one of the biggest challenges lies in that the physical laws, economic laws and human beha...

This paper proposes a hierarchical control of Thermostatically Controlled Loads (TCLs) to provide primary frequency control support. The control architecture is comprised of three levels. At the high level, an aggregator coordinates multiple distribution substations and dispatches the primary reserve references. At the middle level, distribution su...

Transient stability analysis of stochastic system mainly depends on Monte Carlo simulations which demand vast calculations over numerous trials to ascertain the behavior of the system. The uncertainty problems are usually solved as deterministic problems with the dynamics of the stochastic procedure ignored. A stochastic transient stability analysi...

This paper presents an autonomous wind farm voltage controller based on model predictive control. The reactive power compensation and voltage regulation devices of the wind farm include static Var compensators, static Var generators, wind turbine generators and on-load tap changing transformer, and they are coordinated to keep the voltages of all t...

A risk assessment based adaptive ultra-short-term wind power prediction (USTWPP) method is proposed in this paper. In this method, features are first extracted from the historical data, and then each wind power time series (WPTS) is split into several subsets defined by their stationary patterns. A WPTS that does not match any of the stationary pat...

This paper develops a network-constrained transactive control method to integrate distributed energy resources (DERs) into a power distribution system with the purpose of optimizing the operational cost of DERs and power losses of the distribution network as well as preventing grid problems including power transformer congestion and voltage violati...

With the development of strong and smart grid and the emergence of the Energy Internet, the deep integration of power grids and communication/information systems has become a necessity. Some systems' blackouts have shown that communication/information failures (including natural faults and malicious attacks) affecting security and stability of the...

The increasing number of distributed energy resources connected to power systems raises operational challenges for the network operator, such as introducing grid congestion and voltage deviations in the distribution network level, as well as increasing balancing needs at the whole system level. Control and coordination of a large number of distribu...

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 interconnec...

Restorative self-healing is one of the most important features of smart grids. The major purpose of a restorative self-healing control strategy is to steer a power system to secure operating states. In this paper, a self-healing transmission network reconfiguration algorithm based on the complex network theory is proposed. The capacities of generat...

In smart grid, a strong communication network plays a very important role, which makes the power grid more controllable and observable. It is a very tough task to study the mutual impact between these two systems due to their different characteristics. This paper proposes a generic and systematic approach for quantitatively studying the impact of c...

In part one of this series paper, the big data thinking and the macro energy thinking have been explained. On one hand, the energy system is considered in the context of the cyber-physical system, to break down the physical barriers among power system, primary energy system and end-use energy system. On the other hand, the private network and the I...