Evaluation of electricity market operating performance in China

Wang, Qin; Yang, Aimin; Wen, Fushuan; MacGill, Iain

doi:10.1109/pes.2009.5275473

Cited by 6 publications

(3 citation statements)

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“…To better implement the model, more well-defined indices and metrics need to be used. For those metrics that are hard to be quantified, the Analytic Hierarchy Process (AHP) method [97] could be a good alternative.…”

Section: Risk Assessment and Mitigation For Cyber Threats And Attacksmentioning

confidence: 99%

A survey on policies, modelling and security of cyber‐physical systems in smart grids

Kang

Zhang

Wen

2021

Energy Conversion and Econom

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A more reliable, efficient, and resilient smart grid depends on the applications of advanced information and communication technologies to support new functions and controls. The critical infrastructure of a smart grid consists of some major components such as monitoring, controls, communication protocol and software. The cyber-physical system (CPS), which integrates these components, is an important enabler for the expected transition of the energy system driven by decarbonization, digitalization and decentralization. This paper provides an overview of the policy drivers and barriers for the implementation of CPS in power systems. With the vast deployment of distributed energy resources (DERs), there is increasing demand to model the hardware, software and their interactions in the smart grid environment. This paper reviews the modelling and applications of intelligent CPS for decentralized energy systems. The integration of DERs and the supportive infrastructure make modern power systems more vulnerable and less reliable to external threats such as terrorist intrusion. There are growing concerns over the risk of cyber-attacks in mart grids. This paper surveys the latest progress on critical infrastructure identification and protection, as well as risk assessment and mitigation methods for cyber-attacks. Finally, some advanced issues in cyber-physical energy systems are addressed.

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Section: Risk Assessment and Mitigation For Cyber Threats And Attacksmentioning

confidence: 99%

A survey on policies, modelling and security of cyber‐physical systems in smart grids

Kang

Zhang

Wen

2021

Energy Conversion and Econom

Self Cite

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“…In Table 1, b ij reflects the degree of importance that the ith index relatives to the jth index, which is scored according to the 1-9 rating scales [7] . Table 1 Expert questionnaire Evaluation object Index 1 Index2…”

Section: Determining the Index Weights Of The Trading Regulatory Risk...mentioning

confidence: 99%

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

Yin

Zhao²,

Gao

et al. 2014

AMR

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Trading regulatory risk arises prominently in the preliminary formulation of a unified and interconnected electricity market in China. Risk indices, evaluation models and methods as well as index weights are three important aspects of a comprehensive trading regulatory risk evaluation. In this paper, firstly, on the basis of the current electricity market environment in China, systematic trading regulatory risk indices used to quantify the risk level of the unified and interconnected electricity market are established. Secondly, evaluation models and a evaluation method of the trading regulatory risk are developed on the basis of synthesis of fuzzy inference and analytic hierarchy process (AHP). The fuzzy set approach is employed to identify the membership degree of each index to various risk levels, while the AHP is used to acquire the weights of the proposed trading regulatory risk indices. Finally, a simulation based case study on the trading regulatory risk evaluation is presented to illustrate the effectiveness of the proposed indices and the evaluation method.

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“…As far as the electricity market evaluation methods are concerned, analytic hierarchy process (AHP), fuzzy comprehensive evaluation method [14][15][16][17][18], entropy theory [19][20][21], and so forth are used widely. AHP is often combined with the fuzzy analysis method to comprehensively evaluate and analyze the power market [22,23]: the fuzzy evaluation method determines the index membership degree, and AHP determines the weight of each index. e gray relational analysis has also been applied in power market evaluation in recent years.…”

Section: Introductionmentioning

confidence: 99%

Empirical Analysis of the Matching Degree between Energy Equipment Manufacturing and Market Demand: A Global Perspective

2021

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The study of matching degree between energy equipment manufacturing and market demand is crucial for energy enterprises to adjust business strategies, expand market share, and develop sustainably. Considering that the current electricity market evaluation indicators are rarely selected from a global perspective and a single evaluation method may lead to one-sided results, this article takes the technology and equipment related to electric energy as the research object and selects six indicators, including technical standards, qualification certification, export methods, after-sales service, market concentration, and product concentration. By analyzing the supply and demand characteristics of major global regional markets and the situation of Chinese power enterprises in these markets, we propose matching model cluster including osculating value method, rank-sum ratio method, ideal point method, entropy value method, and efficacy coefficient method to conduct the matching degree study. The results show that the overall market matching degree of Chinese power companies is good, especially in Southeast Asia, Central Asia, and Africa. For markets with a low degree of matching, we analyze the reasons based on the matching indicators values to provide companies with corresponding strategies and recommendations.

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Evaluation of electricity market operating performance in China

Cited by 6 publications

References 1 publication

A survey on policies, modelling and security of cyber‐physical systems in smart grids

A survey on policies, modelling and security of cyber‐physical systems in smart grids

Fuzzy Comprehensive Evaluation of Trading Regulatory Risk for a Unified and Interconnected Electricity Market in China

Empirical Analysis of the Matching Degree between Energy Equipment Manufacturing and Market Demand: A Global Perspective

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