Operation Health Assessment of Power Market Based on Improved Matter-Element Extension Cloud Model

Abstract

The complex power system and trading environment in China has led to higher requirements for the efficient and stable operation of the electricity market. With the continuous advancement of power system reforms, regular evaluation of the operation of the market can help us grasp its status and trends, which is of great significance for ensuring its sustainable development. In order to effectively evaluate the current operational status of the electricity market, the concept of operation health degree of power market (OHDPM) is proposed to measure whether the operation is safe, efficient, and sustainable. This paper establishes an improved model framework based on the matter-element extension theory for evaluation. In order to effectively avoid information distortion and loss in the evaluation process, this paper combines the cloud model, matter element extension theory, ideal point method (IPM), and cloud entropy optimization algorithm to deal with this problem. The matter-element extension cloud model (MEECM) can clearly represent the characteristics of the object to be evaluated. IPM is used to determine the weight of the index. For the improved matter-element extension model, the traditional rules of “3En” and “50% relevance” are taken into account, and the method of solving the entropy is optimized. Then, for the correlation degree between the object to be evaluated and the graded normal cloud, the weight vector solved by the IPM is used to weigh the cloud correlation degree, which can give a reliable evaluation result. The health evaluation index system of power market operation includes 16 sub-indicators in five categories: supply side, demand side, coordinated operation, market security, and sustainable development. In the empirical analysis, the OHDPM situation in Y Province was evaluated in May 2019. The results prove that the OHDPM level is medium, and the importance and health level of each index are given. The reliability of the power system, transaction price stability, Lerner index, residual proportion of producers, and user satisfaction have a greater impact on the health status. Finally, in order to verify the validity and stability of the model, different methods are used to evaluate the evaluation objects, and the advantages of OHDPM evaluation based on the model framework proposed in this paper are proven.

Service Evaluation of Electric Vehicle Charging Station: An Application of Improved Matter-Element Extension Method

“…The matter-element extension model is based on both matter-element theory and extension set theory [39][40][41][42]. By establishing classical domain, node domain, and evaluation grade, the correlation degree of each evaluation grade corresponding to the matter element is calculated according to the original data collected, and the grade of the evaluation object is determined accordingly.…”

“…Tan et al used ideal matter-element extension and grey cluster model to evaluate the site selection of wind farms from the perspectives of economy, society, and environment [39]. Dong et al applied an improved matter-element extension cloud model to evaluate the operation of the electricity market in Y province in May 2019 [40]. Guo et al employed an improved matter-element extension model to evaluate the business risk of China power retail companies, which provides a reference for risk management and sustainable development of companies [41].…”

Research on the Risk Assessment of New Energy Automobile Industry Based on Entropy Weight-Cloud Model in China’s Jiangsu Province

“…Hyper entropy (H e ) reflects the dispersion degree of cloud droplets and the random variation of the membership degree. is article refers to other scholars to build a cloud model as shown in Figure 1 [36].…”

Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory

“…After the weights were calculated, the risk assessment of the project could be performed. The essence of the cloud material element model [39] used in this paper was to use the cloud model to redefine and construct the matter-element extension theory, and to use the general steps of extension evaluation to describe and evaluate things. The normal cloud model (E x , E n , H e ) was used to replace the fixed-value feature value V of things, so as to realize the mathematical description of the randomness and ambiguity in the evaluation process.…”