Xueqian Fu

• PHD
• Professor (Associate) at China Agricultural University

As an important infrastructure supporting rural development, an integrated energy system plays an irreplaceable role in China's rural revitalization strategy. The deployment of rural energy projects is an effective way for rural areas to achieve double carbon goals and accelerate agricultural modernization. Based on the actual rural energy systems...

Due to the significant uncertainty in photovoltaic (PV) power generation, grid operation scenarios with a high proportion of PV integration are complex and varied. To accurately extract representative scenarios for PV power generation, this paper proposes a novel clustering model that simultaneously considers PV power, energy, and variability. Comp...

Rural passive distribution networks can no longer meet the modern agricultural electrification and cleanliness requirements, and it is urgent to carry out distributed energy planning construction in rural areas. This paper studies the theoretical and methodological aspects of distributed energy planning in rural areas considering crop growth mechan...

Agricultural microgrid deployment plays a pivotal role in the progression of modern agricultural production, acting as a fundamental cornerstone for the realization of smart village. Diverging from conventional industrial microgrids, agricultural microgrids exhibit distinctive characteristics on the load side, wherein the interplay of carbon emissi...

It is generally accepted that the impact of weather variation is gradually increasing in modern distribution networks with the integration of high-proportion photovoltaic (PV) power generation and weather-sensitive loads. This article analyzes power flow using a novel stochastic weather generator (SWG) based on statistical machine learning (SML). T...

Considering the rapid advancements in AI technologies such as reinforcement learning, ChatGPT, and deep learning, this paper conducts a comprehensive survey of the technological landscape of AI in the energy and agriculture sectors. It delineates the evolutionary path of AI technologies in smart grids and precision agriculture, highlighting signifi...

The stochastic production simulation of photovoltaic (PV) power is crucial for the analysis of power balance in power planning, annual or monthly operational planning, and long-term transactions in the electricity market, especially in power systems with a high share of PVs. To model the uncertainty and temporal characteristics inherent in PV power...

Photovoltaic (PV) installations contribute to more sustainable solutions in satisfying clean energy requirements and are essential to global efforts to mitigate climate change. The PV development has extensive space requirements, complicated by the increasing competition for land due to rising population growth and food demand. By installing solar...

As global climate change and carbon emission issues become increasingly severe, the agricultural energy internet plays a crucial role in achieving low-carbon development. The merging of new energy with modern agriculture is progressively being realized, making effective carbon monitoring and accounting especially critical. This paper presents a nov...

The weather has a significant impact on power load and power system planning. Stochastic weather simulation is important in the field of power systems. However, due to factors such as long recording years, observation technology, and so on, the historical weather data often have the problem of missing or insufficient. Meteorological data are charac...

With the growing integration of photovoltaic (PV) generation, the operational conditions of power systems become more complex and variable. These intricate scenarios place significant pressure on the optimization calculations for power systems, necessitating the extraction of representative scenarios for PV power generation to enhance optimization...

In the low-carbon context, with the gradual promotion of the new electricity reform system, the proportion of trade of new-energy electricity in the cross-provincial market is becoming larger and larger. The current market trading adopts the way of unconstrained post-calibration for clearing, which affects the process of market construction. Theref...

The impact of rural electrification is picking up, which has changed the energy structure and significantly reduced greenhouse gas emissions in rural areas. At present, due to the separation management of agricultural and energy systems, the agricultural cost is high, and new energy consumption in the local microgrid is small, but the carbon emissi...

Agricultural Energy Internet (AEI), representing a key evolutionary direction in the integrated energy landscape of rural regions, holds a vital position in advancing the electrification of agricultural sectors. However, the disjointed control between agricultural loads and grid operations hinders the collaborative development of agriculture and en...

Fishery meteorology has multiple impacts on the fisheries industry, especially in modern fishery industrial parks where renewable energy is extensively utilized. Therefore, this study developed a comprehensive fishery meteorological information terminal, based on the Android system, that considers the requirements of fish farming, fishery load, and...

A novel Wasserstein generative adversarial network (WGAN) is proposed for stochastic wind power output scenario generation. Wasserstein distance with gradient penalty adapts to the gradient vanishing problem that is easy to occur in the new energy generation scenario. This model has better robustness and generalization ability than the traditional...

As China's provincial power market system continues to develop, the unconstrained clearance method for the provincial medium and long-term (MLT) market is no longer able to meet the needs of its continuous operation and the quotations of market participants. In this paper, the rules and business requirements of China's MLT centralized bidding trans...

Multi-energy rural microgrids (MERMs) hold both economic potential and multi-energy coordination ability, emerging as a promising energy management paradigm in rural areas. In this paper, an energy scheduling method is investigated for a MERM with renewable energy and biomass resources, aiming to satisfy the rural electrical, thermal, natural gas,...

With the gradual attention of global climate change, a series of carbon emission plans have been formally implemented in the field of energy. There is a consistent relationship between the carbon market and the electricity market in promoting clean energy development and improving carbon dioxide emission reduction targets. The market design of a lo...

In the context of modern agricultural production mode and domestic energy consumption, profound changes have taken place in agricultural and rural energy consumption, resulting in the demand for new technology development in various sectors of source, network, and load in rural energy systems. Agricultural energy internet (AEI) has promoted the dev...

New energy integration and flexible demand response make smart grid operation scenarios complex and changeable, which bring challenges to network planning. If every possible scenario is considered, the solution to the planning can become extremely time-consuming and difficult. This paper introduces statistical machine learning (SML) techniques to c...

The development of distributed renewable energy, such as photovoltaic power and wind power generation, makes the energy system cleaner, and is of great significance in reducing carbon emissions. However, weather can affect distributed renewable energy power generation, and the uncertainty of output brings challenges to uncertainty planning for dist...

Energy consumption in the agricultural sector is significant, reaching 20% of the total energy consumption in China. Agricultural Energy Internet, an important extension of Energy Internet in the agricultural field, significantly contributes to agricultural modernization. Key technologies of Agricultural Energy Internet are vital factors supporting...

Photovoltaic integrated greenhouse has become an important form of deep coupling between new energy power generation and facility agriculture. Greenhouse photovoltaic power generation will affect the light environment, thermal environment, and water environment of facility agriculture. The precise coupling modeling method of greenhouse photovoltaic...

Rural energy plays an important role in realizing the goals of “carbon peak” and “carbon neutrality” in China. In this paper, the countryside was regarded as the research object, and the rural energy internet was constructed to study the impact of rural energy development on rural carbon emissions. The most advanced energy and informative technolog...

In the process of deepening market-oriented reform, the most important thing in China is building a national unified electricity market system under a high renewable energy penetration scenario. The new round of market-oriented reform proposes to establish an inter-provincial electricity-trading arrangement. Due to imperfect market mechanisms and i...

New energy power systems with high-permeability photovoltaic and wind power are high-dimensional dynamic large-scale systems with nonlinear, uncertain and complex operating characteristics. The uncertainty of new energies creates challenges in detailed analyses of operating conditions and the efficient planning of distribution networks. Probabilist...

This paper unveils the importance of intelligent reflecting surface (IRS) in a wireless powered sensor network (WPSN). Specifically, a multi-antenna power station (PS) employs energy beamforming to provide wireless charging for multiple Internet of Things (IoT) devices, which utilize the harvested energy to deliver their own messages to an access p...

This study focuses on the power allocation (PA) problem in code division multiple access (PDMA) networks with amplify-and-forward (AF) relays. We provide two wireless communication technical performance indexes, which are system throughput and outage probability. A multiobjective version of particle swarm optimization is proposed to solve Pareto-op...

Petroleum agriculture, characterized by mechanization and chemistry, is developing rapidly in China. However, petroleum agriculture has not only brought food safety problems, but also caused great obstacles to the sustainable development of society. In view of the disadvantages of oil agriculture, we provide an upgrading plan for energy systems in...

With the access of large-scale renewable energy, probabilistic power flow has become a key method to analyze the increasing uncertainty of the distribution networks. However, the calculation of probabilistic power flow requires the solution of a large number of high-dimensional nonlinear equations. To solve the earlier problems, we propose a fast c...

As one of promising non-orthogonal multiple access scheme, pattern division multiple access (PDMA) scheme is considered to be one competitive multiple access technology for the fifth generation (5G) communications. The detection algorithm is the key technology to improve the system performance. Due to the PDMA patterns sparse nature, belief propaga...

This study investigates the performances of cooperative pattern division multiple access (PDMA) technology with a half‐duplex amplify‐and‐forward (AF) relaying over Rayleigh fading channels. To characterise the performances of the AF‐PDMA system, the closed‐form expressions of the exact outage probabilities, system throughput and diversity order ar...

Cyber security is a matter of the utmost importance in prosumer energy management systems and modern electric power transmission networks. Modern power system is a typical cyber physical system, which is formed by the deep integration of power network and information network. Cyber physical power system has the outstanding advantages of autonomy, r...

China's industrial manufacturing industry is well developed, but its agriculture is primitive. The only way to solve this problem is to develop modern agriculture. The cross integration of new energy development and modern agriculture is becoming more and more urgent. However, the research on the interaction between the meteorological disaster of f...

Distributed generation and reactive power resource allocation will affect the economy and security of distribution networks. Deterministic scenario planning cannot solve the problem of network uncertainties, which are introduced by intermittent renewable generators and a variable demand for electricity. However, stochastic programming becomes a pro...

NOMA is one of key enabling technologies for prosumer energy management. We studied co-operative techniques useful for establishing pattern division multiple access (PDMA) in an uplink network. In particular, we examined amplify-and-forward (AF) relaying with PDMA (AF-PDMA) over Rayleigh channels. To characterize the performance of AF-PDMA, we deri...

Current power management systems face multiple reliability challenges associated with integrating a population of air conditioner (AiCo) loads into future grids. These challenges, such as the AiCo overload issue, result in a substantial discrepancy between supply and demand during the summer peak, and a few power consumers have to bear the pain of...

Information and communication technologies (ICTs) introduce many Internet-based entry points that pose potential risks to cyber physical energy system (CPES). Therefore, it is significant to enhance the cybersecurity of CPES from cyber-attacks. In this paper, a new dynamic attack model that takes into account the dynamic characteristics of energy s...

Hydrocarbons in the form of natural gas can be used in long-term energy production and could strengthen the defossilisation of the energy sector. However, operational reliability will decrease due to gas shortages in integrated energy systems. Correlations exist among the multiple failure patterns such as overloads of the transmission lines, overlo...

There is greater flexibility in selecting the direct-current (DC) bus voltage in a two-stage photovoltaic (PV) grid-connected structure than in a single-stage one. The independent DC/DC and DC/alternating current (AC) control in traditional control methods changes the duty cycle of the first-stage DC/DC, which affects the control of the secondary D...

With the development of advanced information and communication technologies, the electric power grid has been moving forward into an energy internet for improving operational efficiency and reliability. However, energy internet also introduces many internet based entry points, which bring in additional vulnerabilities from malicious cyber-attacks,...

Photovoltaic power must be measured for billing purposes and to provide power injection information. To emphasise the importance of weather information derived from photovoltaic power data, we consider how building energy consumption is estimated. Photovoltaic power can be treated as an input to an energy consumption model rather than weather infor...

Probabilistic security evaluation is one of the academic frontiers in the research on energy system reliability. It is very important to evaluate the impact of gas systems on the power/heat system for practical engineering in gas turbine engine-based integrated energy systems. This paper proposes a data-driven model instead of a physical model to e...

A shortage of gas supply renders gas expensive and may even cause power outages. Estimation of the failure probability of gas supply is an essential component of an integrated energy system. To ensure that failure probability estimation is relevant to an actual project, energy network constraints should be fully considered in calculations. Here, th...

This paper studies the application of cooperative techniques for pattern division multiple access (PDMA) in downlink (DL) network. More particularly, the performance of joint decode-and-forward (DF) relaying and PDMA (DF-PDMA) is investigated over Rayleigh channel, where the direct links are existent between the BS and users. To characterize the pe...

The reliable supply of natural gas ensures the safe and stable operation of an integrated energy system. Operational uncertainty of the integrated energy system (IES), such as a surge in heating load, can exacerbate the reliable supply situation of natural gas. This paper examines gas supply reliability. A central moment method is proposed to estim...

Due to the aging of electric infrastructures, conventional power grid is being modernized towards smart grid that enables two-way communications between consumer and utility, and thus more vulnerable to cyber-attacks. However, due to the attacking cost, the attack strategy may vary a lot from one operation scenario to another from the perspective o...

This paper presents methods for assessing the statistical interdependencies between solar irradiance and the outside temperature, which are used to assess the correspondence between the operation of technologies to meet the heat demands and the PV output. It is important to be able to assess the impact of heating technology changes and increased PV...

In this paper, we investigate the impacts of intermittent renewable energy sources (RESs) and stochastic energy loads on the operation and uncertainties of an integrated energy system (IES). In our analysis, we use a first order reliability method (FORM) to estimate the failure probabilities, which are crucial for ensuring the reliability of the ga...

The stochastic fluctuation characteristics of intermittent renewable energy sources and energy loads, as well as their multi-energy interactions and dependencies, have negligible effects on the operation and analyses of integrated energy systems. Determining how to model the probability characteristics of such systems with high calculation accuracy...

Currently, a custom-designed configuration of different renewable technologies named the integrated energy system (IES) has become popular due to its high efficiency, benefiting from complementary multi-energy technologies. This paper proposes an information entropy approach to quantify uncertainty in an integrated energy system based on a stochast...

This study is aimed at presenting solar radiation and weather dependent thermal load modeling in microgrids. This article predicts the hourly thermal load for the next 24 hours by using the Elman neural network and neural wavelet neural network (WNN). The principles of the proposed hybrid algorithm are firstly analysed. Then the impact factors of s...

Energy loss represents a traditional key objective in the optimal operation and planning of electrical networks, and various estimation methods have been studied. In this study, two formulas are proposed for calculation of the loss factor (LSF) to improve the classical LSF method based on the minimum load factor (MLF) and the LF. The former is an a...

A big promotion of distributed generation (DG) is a direct consequence of sustainable development policy in world environment and advancement in technology, therefore it is urgent to find an effective way to evaluate the DGs located at power system. A Hierarchical model for placement of DGs synthetic evaluation is present with duly consideration to...

In order to solve the problem of voltage sag, Dynamic Voltage Restorer (DVR) is used to compensate load voltage instantly based on active hybrid energy storage system, and its equivalent circuit is presented. Both the mathematical model and the control system of the supercapacitor/battery hybrid system are set up, which improves whole working chara...

Transient stability problems might occur in distribution networks with distributed generation, and we have to attach importance to this phenomenon. It is useful to investigate the transient stability analysis in distribution level as the distributed generation increasingly exists in today deregulated electric energy platform. A framework of a distr...

With the rapid increase in electrical energy demand, distributed generations (DGs) have so far found their pivotal roles in the restructured environment of power distribution systems. As an indispensable step toward a more reliable power system, the optimal siting of DG, deemed to be the most techno-economically efficient and environment-friendly s...