Abstract

In the context of current energy shortage and environmental degradation, the penetration rate of demand-side energy resources (DSER) in the power grid is constantly increasing. To alleviate the problems concerning the energy and environment, it is of tremendous urgency to develop and make effective use of them. Therefore, this paper proposes the evaluation model of DSER in urban power grid based on geographic information, and a variety of demand-side energy resources in a region is evaluated. Firstly, as for five kinds of DSER, revolving wind power generation (WG), photovoltaic power generation (PV), electric vehicle (EV), energy storage (ES), and flexible load, the commonality indexes and individuality indexes of all kinds of resources are selected based on geographic information. The commonality indexes are common indexes of all DSER, and the individuality indexes are unique indexes of all DSER. Then the weight of each subindex under the commonality and individuality indexes are determined by analytic hierarchy process (AHP) and entropy weight method, respectively. Finally, weighted overlay are made according to the weights and quantized values of each index, and a comprehensive score is obtained from the commonality indexes and individuality indexes upon various demand-side energy resources in the region. The result depicts that the proposed evaluation model of demand-side energy resources is of well practicability and effectiveness, which is beneficial to the planning of the city and the power grid. Most of all, such model provides a strong support for the long-term optimization planning and the medium-term optimization aggregation of DSER.

Highlights

  • In the context of current energy shortage and environmental degradation, the proportion of energy resources, such as distributed generation, energy storage (ES) and flexible load, is increasing in the power grid; these resources are widespread existent on the demand side, are called demand-side energy resources (DSER)

  • According to the above analysis, benefits as well as resource development and development potential are selected as commonality indexes of DSER, which are the indexes common to all types of potential are selected as commonality indexes of DSER, which are the indexes common to all types

  • To facilitate the decision-making of optimal planning and optimally aggregate utilization of DSER, DSER, this paper proposes an evaluation model of DSER based on geographic information, that is, this paper proposes an evaluation model of DSER based on geographic information, that is, various various DSER in a region are evaluated based on geographic information

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Summary

Introduction

In the context of current energy shortage and environmental degradation, the proportion of energy resources, such as distributed generation, ES and flexible load, is increasing in the power grid; these resources are widespread existent on the demand side, are called demand-side energy resources (DSER). The evaluation model of demand-side energy resources can be used to explore the status, characteristics, and development prospects of DSER. The establishment of an evaluation model of demand-side energy resources is very important for the development and utilization of DSER as well as the energy power industry. In literature [16], a AHPPROMETHEE-GAIA method based on the analysis of the characteristics of the existing ES ways is presented Taking the factors, such as technology maturity, cost, life, efficiency, response speed, and environment as assessment criterion, a comprehensive evaluation for the existing ES ways is made. According to the above situation, this paper proposes an evaluation model of DSER based systemon and the individuality system established analyzing the commonality and indexes individuality geographic information.

Evaluation Model
The Commonality Indexes System of Evaluation Model of DSER
The Individuality Indexes System of Evaluation Model of DSER
The Individuality Indexes of WG and PV
The Individuality
Definition of reliability
The Individuality Indexes of EV and ES
The Individuality Indexes of Flexible Loads
Standardization of Evaluation Indexes
The Calculation of Weights for Commonality Indexes
The Calculation of the Comprehensive Score upon Commonality Indexes
The Calculation of Weights for Individuality Indexes
The Calculation of the Comprehensive Score upon Individuality Indexes
Standardization
Standardization of Indexes
The Calculation of Comprehensive Score
The Calculation of Weights of Individuality Indexes
Conclusions
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