Fei Wang

Fei Wang
North China Electric Power University, Baoding, China · Department of Electrical Engineering

Ph.D

About

198
Publications
17,330
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
3,719
Citations
Additional affiliations
July 1993 - July 2017
North China Electric Power University, Baoding, China
Position
  • Professor

Publications

Publications (198)
Article
Accurate wind farm cluster power forecasting is of great significance for the safe operation of the power system with high wind power penetration. However, most of the current neural network methods used for wind farm cluster power forecasting have the following three problems: (1) lack of consideration of dynamic spatio-temporal correlation among...
Article
Wind power has received extensive attention due to its superiorities of clean and pollution-free. However, because of the randomness and volatility of wind power, accurate power prediction is needed to help its consumption. Wind speed is the key to wind power prediction, but traditional prediction method cannot accurately grasp the wind speed varia...
Article
The penetration of the distributed energy resources in the distribution networks is facilitated by the structure of the microgrids (MGs). The MG operator (MGO) can schedule the MG resources to meet the local load and participate in the wholesale markets. In this paper, a new model is developed for the MGO participation in the day-ahead (energy and...
Article
As an important part of system operation and wind power station planning, wind energy forecasting is significantly affected by the strong volatility, intermittency and variability of the wind speed sequence itself. Therefore, to improve forecast accuracy and stability, the complex new energy forecasting problem is analyzed, and a research plan incl...
Article
Since the signing of the Paris Climate Agreement, European Union has made contributions to increase the share of renewable energy in its energy mix and limit global warming to 2 °C. Additionally, the European Union has with the passing of the “European Green Deal”, set a plan to transition to a carbon-neutral economy by 2050 which is planned to be...
Article
Accurate aggregated baseline load (ABL) estimation is very important for the demand response (DR) compensation settlement between system operators and DR aggregators. Current ABL estimation methods totally ignore the spatial correlation between load patterns of different customers, which will lead to large errors when the load pattern on the DR eve...
Article
The forecast of wind speed is prerequisite for wind power prediction, which is one of the most effective means of promoting wind power absorption. However, when modeling for wind speed sequences with different fluctuations, most existing researches ignore the influence of time scale of wind speed fluctuation period, let alone the low compatibility...
Article
Full-text available
Wind energy is a type of renewable and clean energy which has attracted more and more attention all over the world. The Northwest China is a region with the most abundant wind energy not only in China, but also in the whole world. To achieve the goal of carbon neutralization, there is an urgent need to make full use of wind energy in Northwest Chin...
Conference Paper
1 Abstract-Distribution networks have a prominent role in electricity delivery to individual consumers. Nevertheless, their energy losses are higher than transmission systems, which this issue affects the distribution operational costs. Hence, the minimization of power losses in distribution networks has particular importance for the system operato...
Article
Recent years have witnessed a growing trend in the participation of renewable energy on the generation side and relatively high peak loads on the demand side, which makes it gradually challenging for traditional methods concentrating separately on the generation side to maintain system balance. Load resources, with potentialities to provide faster...
Article
Solar irradiance is the main factor affecting the output of a photovoltaic (PV) power station, which is chiefly determined by the cloud distribution over the power station. For ultra-short-term, especially the intro-hour time scale irradiance forecasting, ground-based cloud image is considered as a very necessary data as Global Horizontal Irradianc...
Article
Accurate ultra-short-term PV power forecasting is essential for the power system with a high proportion of renewable energy integration, which can provide power fluctuation information hours ahead and help to mitigate the interference of the random PV power output. Most of the PV power forecasting methods mainly focus on employing local ground-base...
Article
Full-text available
This paper proposes a systematic framework of AC/DC grid state estimation with higher accuracy, computational tractability, and robustness against measurement and control input errors. First, tractable lossy models of bidirectional isolated DC/DC voltage source converters (VSCs), bidirectional DC/AC VSCs, and DC lines for state estimation are devel...
Article
Full-text available
Accurate aggregated baseline load (ABL) estimation is critical for the implementation of incentive-based demand response (DR). The increasing penetration of invisible behind-the-meter photovoltaic (BTM-PV) systems makes the net load less predictable, thus posing a significant challenge to ABL estimation. Current direct estimation approaches will pr...
Article
Accurate household profiles (e.g., house type, number of occupants) identification is the key to the successful implementation of behavioral demand response. Currently, supervised learning methods are widely adopted to identify household profiles using smart meter data. Such methods could achieve promising performance in the case of sufficient labe...
Article
This letter proposes an enhanced sufficient battery model (ESBM) as well as a binary search algorithm for an improved inner-approximation of the aggregate flexibility of thermostatically controlled load (TCL) arrays. Compared with the previous work on generalized battery models, our ESBM preserves the merits of being sufficient and reduces conserva...
Article
Full-text available
To evaluate the health risk of radon and its progeny, a large amount of accurate monitoring data is needed according to the theory and practice of health risk assessment. However, the indoor radon levels in different regions in China and worldwide reveal temporal and spatial variations. In addition, the residents living in different areas follow di...
Article
The aggregator, an emerging entity in the electricity market, gathers and creates market power for the small flexible resources, which traditionally contains distributed generation, electric storage and flexible load. Recently, the exploding growth of IT demand gives rise to the data centers, whose participation in demand response (DR) is becoming...
Article
With the wide deployment of charging piles and the development of V2G (vehicle-to-grid) technology, electric vehicles (EVs) will have more opportunities to participate in the operation and scheduling of electric power system through the EV aggregator (EVA), an intermediate agent between the power grid and EV users. Quantitatively evaluating the res...
Article
Residential customers account for an indispensable part in the demand response (DR) program for their capability to provide flexibility when the system required. However, their available DR capacity has not been fully comprehended by the aggregator, who needs the information to bid accurately on behalf of the residential customers in the market tra...
Article
The smart grid is a fully automatic delivery grid for electricity power with a two-way reliable flow of electricity and information among different equipment on the grid. Smart meters and sensors monitoring the system provide a huge amount of data in various part of smart grid. To logically manage this trouble, a new lossy data compression approach...
Article
Ultra-short-term photovoltaic (PV) power forecasting can support the real-time dispatching of power grid. However, PV power has great fluctuations due to various meteorological factors, which increases energy prices and cause difficulties in managing the grid. This paper proposes an ultra-short-term PV power forecasting model based on optimal frequ...
Article
The precise minute time scale forecasting of an individual PV power station output relies on accurate prediction of cloud distribution, which can lead to dramatic fluctuation of PV power generation. Precise cloud distribution information is mainly achieved by ground-based total sky imager, then the future cloud distribution can also be achieved by...
Article
This paper presents a resilient distributed bilevel cooperation control scheme to achieve load sharing of a heterogeneous microgrid cluster by employing a sparse multiagent communication network. Since communication networks are exposed to relative state-dependent measurement noises (i.e., multiplicative noises) in practice, which terribly reduce t...
Article
The electric vehicle (EV), when aggregated by an agent (Aggregator), is a suitable candidate for participating in demand response in power system operation. As the interface between distribution network and EV users, as well as an independent party at the same time, an optimal scheduling algorithm is necessary with consideration of benefits of thre...
Article
Full-text available
In recent years, increased integration of renewable energy sources (RES) calls for extensive and costly investments in transmission networks. In response, power system decision makers try to apply alternative solutions aimed to decrease the imposed investment costs. In this context, presence of large-scale Energy Storage Systems (ESSs) in transmiss...
Article
Technical virtual power plant (TVPP) aggregates distributed energy resources in order to trade in wholesale electricity market while taking operational constraints of network into account and offering services to distribution system operator. This article presents a new framework to incorporate the reliability of distribution network into designing...
Article
As an emerging clean energy, wind energy has become an important part of energy development all over the world. One of the major ways to use wind energy is wind power. Accurate wind power forecasting is significant to the wind energy development and utilization, and the power systems safe and stable operation. Due to the fluctuation and randomness...
Article
A number of measurement data cleansing methods have been proposed aiming at improving the accuracy of busload forecasting (BLF). However, almost all these methods only exploit the temporal characteristics of a single measurement time series of busload data and neglect the information that can be extracted from the power grid. As a matter of fact, t...
Article
Accurate monthly electricity consumption forecasting (ECF) can help retailers enhance the profitability in deregulated electricity markets. Most current methods use monthly load data to perform monthly ECF, which usually produces large errors due to insufficient training samples. A few methods try to use fine-grained smart-meter data (e.g., hourly...
Article
This paper addresses the optimal decision problem of a distributed energy resources (DER) aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) units while implementing real-time pricing (RTP) demand response program. The DER aggregator can procure electricity by bidding in the electricity market and scheduling its...
Article
Distributed energy resources (DER), especially wind and photovoltaic power, and demand response (DR) are highly valued in recent years for their advantages on environmental protection, sustainable development, and so on. However, their volatility poses double risks to the DER aggregator when formulating a profitable bidding strategy and schedule sc...
Article
At present, environmental pollution, climate warming and other problems are becoming more and more serious. And wind energy is pollution-free and never be exhausted, so it can make a major contribution to the global energy transformation. However, its random fluctuations and uncertainties bring adverse effects to the power system and endanger the s...
Article
Industrial loads play an important role in the success of demand response programs (DRPs). However, these programs may compromise the consumers' convenience which can overshadow their real-world practicality. In response, this paper provides a two-level decision-making tree approach to effectively determine the participation abilities of different...