Minglei Bao

Bio: Minglei Bao is an academic researcher from Zhejiang University. The author has contributed to research in topics: Electricity & Electric power system. The author has an hindex of 5, co-authored 16 publications receiving 126 citations.

A Multi-State Model for Reliability Assessment of Integrated Gas and Power Systems Utilizing Universal Generating Function Techniques

Abstract: Large-scale adoption of gas-fired power plants (GPPs) significantly accelerates the integration of power systems and natural gas systems (NGSs). Because the operation of NGS has a significant impact on the reliability of power system, it is important to simultaneously evaluate the reliabilities of power system and NGS. Moreover, due to the stochastic failures and various operating characteristics of components, the integrated gas and power systems (IGPS) considering multiple states can be viewed as a multi-state system. Therefore, a multi-state model is proposed for reliability evaluation of IGPS based on universal generating function (UGF) techniques. First, a framework is proposed to evaluate the reliability of NGS: multi-state models for different components in the NGS are developed as the corresponding UGFs. These UGFs are aggregated utilizing the gas flow calculation operator to obtain the multi-state model of NGS. Moreover, a gas-to-power calculation operator is developed to convert the multi-state model of gas injection at each node to the power output models of GPPs in power system. In this manner, the impacts of NGS could be incorporated into the reliability evaluation of power system. Furthermore, nodal reliability indices for both the NGS and the power system are proposed to evaluate the reliability performances of IGPS. The proposed methods are validated using the integrated gas and power test system.

Nodal Reliability Evaluation of Interdependent Gas and Power Systems Considering Cascading Effects

Abstract: The ever-increasing utilization of natural gas has strengthened the interdependence between power system and natural gas system (NGS). Due to the bidirectional interactions between the two systems, the disturbances in one system may spread tothe other one, triggering a disruptive avalanche of subsequent failures. When considering the cascading effects, the failure of a very small fraction of components can lead to catastrophic outages in the interdependent gas and power systems (IGPSs). This paper proposes an approach for the reliability evaluation of IGPSs considering the interdependence-induced cascading effects. Firstly, a dynamic cascaded analysis model is developed to describe the temporal and spatial process of cascading effects considering different dynamic behaviors between power system and NGS. By taking the gas velocity and line pack into consideration, the re-dispatch model of NGS is set up to characterize the dynamic variation of gas pressures and flow rates between two time periods. Then, the framework for the reliability evaluation of IGPSs considering cascading effects is proposed by combining the dynamic cascaded analysis model and Monte Carlo simulation (MCS) techniques. Furthermore, nodal reliability indices for both NGS and power system are proposed to quantify the impacts of cascading effects on the reliabilities of IGPSs. The proposed methods are validated using an integrated gas and power testing system.

Review of Information Disclosure in Different Electricity Markets

Abstract: Electricity markets have been established in many countries of the world. Electricity and services are traded in the competitive environment of electricity markets, which generates a large amount of information during the operation process. To maintain transparency and foster competition of electricity markets, timely and precise information regarding the operation of electricity market should be disclosed to the market participants through a centralized and authorized information disclosure mechanism. However, the information disclosure mechanism varies greatly in electricity markets because of different market models and transaction methods. This paper reviews information disclosure mechanisms of several typical electricity markets with the poolco model, bilateral contract model, and hybrid model. The disclosed information and clearing models in these markets are summarized to provide an overview of the present information disclosure mechanisms in typical deregulated power systems worldwide. Moreover, the various experiences for establishing an efficient information disclosure mechanism is summarized and discussed.

The gas transmission problem solved by an extension of the simplex algorithm

Abstract: The problem of distributing gas through a network of pipelines is formulated as a cost minimization subject to nonlinear flow-pressure relations, material balances, and pressure bounds. The solution method is based on piecewise linear approximations of the nonlinear flow-pressure relations. The approximated problem is solved by an extension of the Simplex method. The solution method is tested on real-world data and compared with alternative solution methods.

Operations & Maintenance Optimization of Wind Turbines Integrating Wind and Aging Information

Abstract: Operations & maintenance (O&M) of wind turbines (both onshore and offshore) are heavily affected by weather conditions, particularly wind conditions. Current O&M models focused mainly on negative impacts of wind conditions on turbine reliability and maintenance, while ignoring potential maintenance opportunities emerging from dynamic wind velocities. This article addresses this issue by constructing a novel weather-centered O&M framework, integrating wind impacts on: (a) energy production, and (b) maintenance plans. Both the positive (maintenance opportunities) and negative impacts (maintenance delays) of wind conditions are quantified in the framework. Accordingly, a weather-centered opportunistic maintenance policy is developed to enable a flexible maintenance resource allocation. The maintenance model is formulated, and analytical properties regarding optimal maintenance ages are discussed. Furthermore, the net revenue of wind turbines is evaluated using the performance-based contracting (PBC), which captures dynamics of both power generation and operational costs. Experimental results demonstrate the superior performance of our framework in revenue improvement, particularly when facing high failure risks and production losses.

Cascading Failures in Internet of Things: Review and Perspectives on Reliability and Resilience

Abstract: In the Internet of Things (IoT), various devices operate collaboratively in collecting data, relaying information to one another, and processing information intelligently. Due to interactions and dependencies between the IoT devices, the malfunction of one device may trigger a cascade of unexpected and often undesired state changes of other devices, introducing or accelerating catastrophic cascading failures. Understanding the causes of cascading failures and modeling their behavior and effects is crucial for guaranteeing the reliability of IoT systems and delivering the desired quality of service. This article systematically reviews cascading failures modeling and reliability analysis methodologies, as well as mitigation strategies for building the resilience of IoT systems against cascading failures. The review covers diverse IoT applications, from smart grids to smart homes, from sensor networks to IoT cloud computing, and from transportation networks to interdependent infrastructure networks. Opportunities and open research issues are also discussed in relation to restrictions of the current cascading failure models and methods, and potential new technologies and complexity of the constantly evolving IoT systems.