Abstract

With a large amount of intermittent distributed generation(DG) integrating into active distribution network(ADN), the flexibility requirements during the operation process should be paid more attention. Therefore, a dynamic optimal operation model is built. In this model, the maximization of economic benefits during the production cycle is set as the optimization objective, and the constrains of security and flexibility are considered. Then based on this model, the security, economy and flexibility requirements of power system are satisfied by coordination and interaction of different flexible sources. Finally, a case study is given to illustrate the validity and effectiveness of the models.

Highlights

  • An important task of power system operation is the optimization of generation scheduling and load allocation

  • Dynamic optimization focus on the multi-period optimization of generation sources based on the day-ahead dispatching framework

  • The maximization of economic benefits during the production cycle is set as the optimization objective, and the constrains about security, flexibility etc. are considered

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Summary

Introduction

An important task of power system operation is the optimization of generation scheduling and load allocation. A dynamic optimal operation model of ADN is built for the second business mode. The maximization of economic benefits during the production cycle is set as the optimization objective, and the constrains about security, flexibility etc. When ADN operate under the second business mode, the maximization of economic benefits during the production cycle is set as the optimization objective, as shown below: T max = RE ( t ) − CO ( t ). The reduction amount of Carbon dioxide emission is equal to the amount of Carbon dioxide discharged by coal-fired thermal power unit, which generated the same amount of electricity, as shown below: RE ( t ) = REE ( t ) − REC ( t ).

Objective of Optimal Operation Mode
Electricity benefit
Power balance of ADN
Electricity purchase cost
Flexibility Constraint
Ramp-rate Constraint
Energy Storage Constraint
Conclusions
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