Qinglai Guo's research while affiliated with Tsinghua University and other places

Publications (56)

Preprint
Full-text available
An in-depth analysis of linearized branch flow (LBF) model considering current injection and absolute value of impedance is proposed in this paper. The form of LBF model is based on two equations: the current injection to meet KCL and the voltage drop to meet KVL. By representing the absolute value of complex load power with the current injection,...
Article
The optimal dispatch of electric vehicles (EVs) aims to minimize the system operation cost while satisfying the requirements for peak shaving, congestion management and voltage regulation. However, the stochastic mobility of EVs makes dispatch difficult and requires modeling the spatial and temporal distribution of EV availability. In this paper, a...
Article
Preventive transient stability control is an effective measure for the power system to withstand high-probability severe contingencies. It is mathematically an optimal power flow problem with transient stability constraints. Due to the constraints involved the differential algebraic equations of transient stability, it is difficult and time-consumi...
Article
Deep learning is considered to be a promising method for total transfer capability (TTC) evaluation due to its high speed and accuracy for nonlinear and complicated problems. However, the operating scenarios of power systems are complex and ever changing. It is difficult to train a single deep model using an overly complex dataset containing operat...
Preprint
Full-text available
Owing to the potential higher energy supply efficiency and operation flexibility, integrated energy system (IES), which usually includes electric power, gas and heating/cooling systems, is considered as one of the primary forms of energy carrier in the future. However, with the increasing complexity of multiple energy devices and systems integratio...
Article
The increasing penetration of electric vehicles is tightly coupling the operation of power and transportation systems. The representation of the dynamics of network flows in response to real-time information and control strategies is a problem of considerable practical significance. However, most of work considers static network models that are onl...
Article
Full-text available
Large‐scale fast charging of electric vehicles inextricably entwines the operation of power and transportation systems. This study examines the integrated pricing of electricity and roads to maximise the social welfare associated with the coupled systems, i.e. minimising the total travel time and energy generation costs. While electric demand and t...
Article
Full-text available
The increasing deployment of fast charging infrastructure is coupling the operation of power and transportation systems. However, how to evaluate the coupling relationship between these two systems is less studied. This study proposes a look-ahead decentralised framework to solve the integrated power-traffic flow problem using the optimality condit...
Preprint
Using thermal inertia in district heating systems (DHSs) to improve the dispatch flexibility and economy of integrated heat and electricity systems (IHESs) is a research hotspot and difficulty. In most existing studies, the partial differential equations (PDEs) of thermal inertia are approximated by discrete-time models, making it difficult to accu...
Preprint
Using thermal inertia in district heating systems (DHSs) to improve the dispatch flexibility and economy of integrated heat and electricity systems (IHESs) is a research hotspot and difficulty. In most existing studies, the partial differential equations (PDEs) of thermal inertia are approximated by discrete-time models, making it difficult to accu...
Preprint
Full-text available
The increasing number of gas-fired units has significantly intensified the coupling between power and gas networks. Traditionally, the nonlinearity and nonconvexity in gas flow equations, together with renewable-induced stochasticity, result in a computationally expensive model for unit commitment in electricity-gas coupled integrated energy system...
Article
The installation of combined heat and power (CHP) units has rapidly increased due to their energy efficiency and environmental advantages. The broad application of CHP units requires the joint dispatch of power and heating systems, in which the modeling of CHP units plays a pivotal role. However, existing CHP models face the contradiction between a...
Preprint
Massive adoptions of combined heat and power (CHP) units necessitate the coordinated operation of power system and district heating system (DHS). Exploiting the reconfigurable property of district heating networks (DHNs) provides a cost-effective solution to enhance the flexibility of the power system by redistributing heat loads in DHS. In this pa...
Article
The problem of optimal planning of plug-in electric vehicle (PEV) charging stations is studied. Different from many other works, we assume the station investor to be a new private entrant into the market who intends to maximize its own profit in a competitive environment. A modified Huff gravity-based model is adopted to describe the probabilistic...
Article
Increasing number of drivers are switching to electric vehicles (EV) for higher efficiency, lower environmental impact and less maintenance cost. To promote the EV revolution, charging issues of EVs needs to be well addressed. Since the traffic flow of the transportation network and the operating conditions of the power systems are time-varying, it...
Conference Paper
This paper establishes a systematic framework to analyze the joint charging and routing behavior of electric vehicles (EVs) and how they affect both the power and transportation systems. Fast charging enables EVs to recharge at public charging stations during a trip, thereby redistributing the charging load and traffic flow at the same time. Findin...
Conference Paper
Full-text available
As a newly-emerged intangible asset, information plays an important role in more and more fields and environments, and its value is increasingly analyzed and explored. In the power industry, there are severe uncertainties in electric load, output power and electricity market price, which may lead to economic loss of corresponding market entities. T...
Article
Full-text available
In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind and solar power, fault-induced delayed voltage recovery (FIDVR), and measurement-based Thévenin equivalent for voltage stability analysis are reviewed. For distribution gr...
Conference Paper
Full-text available
As an intangible asset, data contain profound value. However, unlike common commodities, the value of data is unpredictable before purchase and use. Before data are used, analyzed and exploited, it is difficult to evaluate the data value accurately. This hinders the data’s potential of value realization. In order to evaluate the value of data and l...
Article
Coupling between electricity systems and heating systems are becoming stronger, leading to more flexible and more complex interactions between these systems. The operation of integrated energy systems is greatly affected, especially when security is concerned. Steady-state analysis methods have been widely studied in recent research, which is far f...
Article
Full-text available
Power system security assessment is an important and challenging problem. Large variations in loads and power generation present increased risks to the secure operation of power systems. This study proposes a distributed deep network structure for power system security knowledge discovery based on multitask learning to monitor and control power gri...
Article
With the technological advancement in the fields of advanced metering infrastructure (AMI), a massive amount of customers’ electricity consumption data is collected. Meanwhile, the energy providers need to make informed decisions based on power consumption strategy of demand side to reduce overall operational cost. So how to generate demand side lo...
Article
With the rapid increase in the proportion of natural gas for power generation, the operations of the power system are increasingly relevant to the supply of natural gas. To improve the reliability of power generation, some additional gas storage equipment should be set up in gas power plants. This paper considered different constraints, objective f...
Article
Considering the capacitor banks and on-load tap changer (OLTC) applied in the voltage-source-converter-based high-voltage direct-current (VSC-HVDC) systems with large-scale wind farm integration, this study presents a day-ahead voltage scheduling method to avoid frequent adjustment of the slow discrete devices. Using this method, the AC side voltag...
Article
Full-text available
Power systems depend on discrete devices, such as shunt capacitors/reactors and on-load tap changers, for their long-term reliability. In transmission systems that contain large wind farms, we must take into account the uncertainties in wind power generation when deciding when to operate these devices. In this paper, we describe a method to schedul...
Article
With the deregulation of power industry, large power users can buy electricity directly from power producers. For trades between different regional markets, it is necessary to research on the method to find the cheapest route for power exchanging. Moreover, as there exists no coordinator above regional markets, the power routing problem must be sol...
Chapter
Accommodating greater levels of penetration of renewable energy sources is an important feature of smart grids. Currently, wind energy is one of the most popular and promise renewable energy sources, and significant wind power integration has already been achieved in electricity grids in a number of countries across the globe.
Article
Full-text available
With the growing application of electric vehicles (EVs), it is of great significance to have a deep understanding of EV users driving and charging patterns for charging forecasting. However, the rapid growth scale of EV taxis with charging patterns that are closely coupled with human behaviours of temporal-spatial charging choices was not compatibl...
Conference Paper
Power plants in the competitive market will face volatile generation cost and volatile spot price, and risk management will become crucial. We address quantity risk faced by power plants with quadratic cost, which produce electricity with variable cost and sell it at spot price. By innovatively modifying existing models that provide optimal quantit...
Article
Full-text available
Large-scale wind power centralized integration is the major way of wind energy utilization in China. With the increasing scale of wind power integration, voltage security and active power loss of wind farms can't be ignored, thus it is essential to realize economical operation inside wind farms in security. Considering the typical radial feeder net...

Citations

... However, there is active research in this area as well. For example, Zhou et al. in [84] proposed the interpretation of the CNN model decisions for TSA by providing class activation mapping, which visually reveals regions that are important for discrimination. Activation mapping has been successfully used with deep image classification and can be seen as a way forward for explaining and understanding CNN classifier decisions in TSA applications. ...
... A new tree regularization is proposed to achieve interpretability. Ref. [135] proposed a neighborhood deep model for total transfer capability evaluation. Quasi-steady state sensitivity analysis method considering the correlation of input variables is proposed to analyze the interpretability. ...
... In practice, regulating traffic and power flow can realize the social optimum of PTCNs, which is usually achieved by price making [14]. Instead of considering prices as static [8]- [10], a number of studies treated the prices for the EV drivers as either the locational marginal price (LMP) [6], [15], [16] or the retail price [17], [18]. ...
... Due to space limits, the optimality and convergence analysis for the algorithm is omitted in this paper. Interested readers may refer to our previous work [78] for further details. ...
... However, the queues of EVs waiting are ignored at each charging station, which should always be limited considering space and service quality [14]. Besides, a time-space network (TSN) based OTPF problem is proposed in [15] to minimize the operating cost of EVs and power systems, though the capacity & storage constraints in the transportation systems are ignored. Therefore, a novel OTPF model is still missing and necessary to achieve coordinated operation of sub-systems in CTPSs and holistically address the intrinsic operational constraints, e.g., power/energy-related constraints, vehicles' feasible temporalspatial processes, and queueing/servicing constraints for charging stations. ...
... In [25], particle swarm optimization and tabu search are integrated into an algorithm that plans the expansion of distribution networks. In [26], the distribution system planning is addressed by a stochastic optimization approach that determines investment in substations, feeders, and batteries while considering battery degradation and facing uncertainty in electricity prices and demand. In [27], the flexibility to reduce peak demands provided by thermal building systems is considered while planning the distribution grid expansion. ...
... In addition, compared with conventional thermal power systems, such systems can reduce 13%-18% of pollutant gas emission [2] and save 10%-40% of generation cost [3]. As a result, CHP systems have received continuous attention from both academia and industry [4], and their installed capacity has shown a rapid growth in recent years [5,6]. ...
... We can assume that if the charging prices of all piles or stations are sent to users, their driving behaviors will change when comparing the prices in different regions. Actually, many researchers noticed this and designed various competitive pricing strategies [19]- [24]. For example, from investors' perspective, a PEV fast charging station (CS) planning framework has been proposed in [19], which aims to maximize the total profit including both the capital cost and the operation profit. ...
... These technologies themselves may suffer from a series of generic issues (e.g., high power and storage costs, low throughput and high latency, and the lack of scalability [29,30]), and combining them into a blockchain system does not mitigate these issues. On the other hand, due to the importance and particularity of energy industry, practical energy systems usually have high requirements for trustworthiness, security, and privacy [31,32]. Unfortunately, these requirements are often compromised for decentralization, one of the most emphasized features of blockchain [33]. ...
... In existing literature, the information value was analyzed in the scenario of demand response (DR) [11], wind power trading in electricity markets [12], and economic dispatch (ED) of wind power plants (WPPs) [13]. In this paper, the scenario we concern is solar power plants (SPPs) trading in electricity markets. ...