2018•Unpublished venueRequires access

Research on Demand Response Strategy of Electricity Market Based on Intelligent Power Consumption

Jiarui Han, Xia Dong, Xu Jing, Liu Chen, Ke Xu, Cui Rongjing, Cui Chenlei

Open publisher page 2 citations

Abstract

With the gradual development of the energy internet and power system reform, as an important part of strong smart grid, smart electricity will face to the power user directly. However, the development of distributed generation has made great changes to the user's power consumption characteristics. The demand side response is also more complex. In this paper, considering with the user electricity charges and distributed generation, the response strategy of electricity market was discussed according to peak-valley time-of-use tariff and Controlled load dispatching. Firstly, response characteristics of resident load and Output characteristics of distributed photovoltaic power were studied. Secondly, in the light of price demand response, an optimization model for least cost of electricity was proposed. Lastly, combination of distributed power access, real-time dispatching policy and Advance dispatching strategy were proposed scheme for maximum absorption of distributed generations. It is proved that this scheme can improve the efficiency of new energy dissipation, and it provides a theoretical basis for intelligent electricity use strategy in the future.

About this research paper

What this paper is about

With the gradual development of the energy internet and power system reform, as an important part of strong smart grid, smart electricity will face to the power user directly. However, the development of distributed generation has made great changes to the user's power consumption characteristics. The demand side response is also more complex. In this paper, considering with the user electricity charges and distributed generation, the response strategy of electricity market was discussed according to peak-valley time-of-use tariff and Controlled load dispatching. Firstly, response characteristics of resident load and Output characteristics of distributed photovoltaic power were studied. Secondly, in the light of price demand response, an optimization model for least cost of electricity was proposed. Lastly, combination of distributed power access, real-time dispatching policy and Advance dispatching strategy were proposed scheme for maximum absorption of distributed generations. It is proved that this scheme can improve the efficiency of new energy dissipation, and it provides a theoretical basis for intelligent electricity use strategy in the future.

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OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

With the gradual development of the energy internet and power system reform, as an important part of strong smart grid, smart electricity will face to the power user directly. However, the development of distributed generation has made great changes to the user's power consumption characteristics. The demand side response is also more complex. In this paper, considering with the user electricity charges and distributed generation, the response strategy of electricity market was discussed according to peak-valley time-of-use tariff and Controlled load dispatching. Firstly, response characteristics of resident load and Output characteristics of distributed photovoltaic power were studied. Secondly, in the light of price demand response, an optimization model for least cost of electricity was proposed. Lastly, combination of distributed power access, real-time dispatching policy and Advance dispatching strategy were proposed scheme for maximum absorption of distributed generations. It is proved that this scheme can improve the efficiency of new energy dissipation, and it provides a theoretical basis for intelligent electricity use strategy in the future.

Key concepts: Demand response, Electricity, Tariff, Smart grid, Distributed generation, Computer science, Electricity market, Photovoltaic system

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