Multi-objective Optimal Scheduling of Business Park Microgrid Considering Demand-Side Flexible Resources

doi:10.12204/j.issn.1000-7229.2021.03.005

Abstract

Abstract:

Integration of renewable energy, electric vehicles (EV), and inverter air conditioners (IAC) in the business park microgrid (BPMG) result in fluctuation and uncertainty, which lead to new challenges in operational flexibility of the BPMG. Therefore, a BPMG optimal scheduling method considering demand-side flexible resources is presented. Moreover, the flexible supply provided by BPMG demand-side flexible resource is quantified according to the demand response models of EV and IAC. And then, combined with the flexible resource and flexible demand at the source side, flexibility shortage severity is proposed for quantifying the imbalance severity between the flexible supply and flexible demand. On this basis, a BPMG multi-objective optimal scheduling model considering economy and flexibility is constructed, which can be solved by CPLEX optimization software. Experimental results show that the proposed model can significantly improve the operational flexibility of BPMG by coordinating various flexible resources on both supply and demand sides.

Key words: business park microgrid, demand-side flexible resource, flexibility shortage severity, optimal scheduling

CLC Number:

TM73

WANG Junxiang, LI Huaqiang, DENG Jingwei, XIE Kangsheng, AN Yang. Multi-objective Optimal Scheduling of Business Park Microgrid Considering Demand-Side Flexible Resources[J]. ELECTRIC POWER CONSTRUCTION, 2021, 42(3): 35-44.

Figures/Tables 12

Fig.1 Structure diagram of the BPMG

Fig.2 Structure diagram of BPMG optimal scheduling considering demand-side flexible resources

Fig.3 The relationship between energy state and operating power of a single EV

Table 1 Comparison of operation results in two modes

Fig.4 Power balance in two modes

Fig.5 Time series distribution of BPMG flexibility insufficient severity in two modes

Fig.6 Operation results under different demand-response ratios

Fig.A1 Predicted power of wind,photovoltaic and basic load

Table A1 Parameters setting in the BPMG

Table A2 The cost parameters setting

Fig.A2 Daily outdoor temperature

Table B1 Comparison of operation results under different user experience constraints

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