Abstract

The coordinated operation of an integrated energy system (IES) and a distribution network is the inevitable development trend of the energy Internet of the future. The day-ahead optimal scheduling of the IES is an important way to improve new energy efficiency and the energy economy. When the IES and the distribution network exchange electrical energy, the voltage of the distribution network may be out of limit. This article presents a two-stage joint optimal scheduling method for a distribution network with IESs to improve the economy of the IESs and the safety of the distribution network. In the first stage, the user’s demand response and the electrical energy interaction between IESs are considered, and the schedulable potential of the systems is fully tapped. In the second stage, a bi-level scheduling model is adopted: the upper model takes the distribution network as the control object and reduces the power loss by adjusting the exchange power between the distribution network and the IESs. The lower model takes the IESs as the control objects and obtains the scheme with the lowest cost in each IES through multi-objective particle swarm optimization. Taking the IEEE 33-node distribution system as an example, simulation research is performed to show that the total network loss is 17.01% lower and the total cost is 5.36% lower than the method without two-stage optimal scheduling, which verifies the effectiveness of the proposed method.

Highlights

  • Energy is an indispensable resource for human productivity and life, and it is an important material basis for the national economy

  • For IES3, because the industrial area has a large demand for thermal load at 10-18 h, the waste heat generated by the gas turbine cannot meet the thermal load demand in the industrial area, and it is supplemented by the gas boiler at this time

  • The following conclusions can be drawn through an example of park-level integrated energy systems in a certain region: 1) When the IES is connected to the distribution network, it acts as an equivalent power source

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Summary

INTRODUCTION

Energy is an indispensable resource for human productivity and life, and it is an important material basis for the national economy. Reference [16] established the distribution network and natural gas network models and proposed the coordinated operation and optimal scheduling method for the combined gas-electricity distribution network. 3) This article primarily proposes a two-stage joint optimal scheduling strategy for a distribution network with IESs. In the first stage, the schedulable potential of the IESs is fully tapped by considering the demand response on the user side; in the second stage, the schedulable potential is taken as the exchange power constraint between the IESs and the distribution network, and a bi-level optimal scheduling model is established. The joint scheduling strategy of the distribution network and the IESs is as follows: when photovoltaic and gas turbine electricity generation in an IES cannot meet the IES’s power demand, the IES has the priority to purchase electricity from other IESs that have extra electricity, and the other IESs can consider whether to sell electricity to the power-shortage IES. Of the users and the electrical equipment in the IES, the IES will consider whether to sell electricity to the power-shortage IESs and the power grid

MODELLING THE EQUIPMENT OF AN IES
SCHEDULABLE POTENTIAL CONSIDERING DEMAND RESPONSE
BI-LEVEL OPTIMAL SCHEDULING FOR DISTRIBUTION NETWORK MODEL
COMPARISON OF DIFFERENT SCHEDULING MODES Scheme 1
Findings
CONCLUSION
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