Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H

doi:10.12204/j.issn.1000-7229.2023.02.004

Abstract

Abstract:

The intermittence of high proportion of renewable energy further aggravates the insecure operation of power system, which makes flexible resources configuration more critical. Therefore, it is necessary to conduct research on flexible resources planning and configuration of power system. For the multi-energy microgrid, a bi-level collaborative optimization method of configuration and operation of flexible resources is proposed in this paper, considering the characteristics of storage battery and power to hydrogen (P2H) equipment. Taking the minimum total annual carbon emissions and the maximum comprehensive annual profit as the objective functions for the outer layer model, and choosing maximum daily operating profit for the inner layer model, a case study under electricity-hydrogen load is carried out. Then cost reduction scenarios of these two flexibility technologies is depicted, and economic, cleanliness and flexibility indices are designed to compare and evaluate the competitiveness of the two technologies in different conditions. The results show that the proposed optimal configuration method can prominently improve the environmental benefits of the microgrid with less economic cost. At present, compared with P2H technology, storage battery technology has overwhelming advantages, but the former will have greater profit margins and market potential in the future.

Key words: microgrid, bi-level optimization, storage battery, power to hydrogen (P2H)

CLC Number:

TM73

TAN Qinliang, SHAN Zijing, DING Yihong, ZHANG Yimei. Bi-level Optimal Configuration for Flexible Resources of Multi-energy Microgrid Considering Storage Battery and P2H[J]. ELECTRIC POWER CONSTRUCTION, 2023, 44(2): 38-49.

Figures/Tables 15

Fig.1 Framework of multi-energy microgrid with P2H and SB

Fig.2 Solution flow of bi-level optimal configuration model

Fig.3 Load curves and predicted output curves of wind power and PV for 4 typical days

Table 1 Efficiency and price parameters

Table 2 Economic-environmental index comparison of optimization results

Table 3 Scenario setting of technology cost reduction

Fig.4 Microgrid configure and total cost of SB scenarios

Fig.5 Microgrid configure and total cost of P2H scenarios

Table 4 Results comparison of energy storage scenarios

Table 5 Results comparison of P2H scenarios

Fig.6 Trend of system profit variation with hydrogen price of various scenarios

Fig.A1 Operation results of various typical days (grid-connected operation)

Fig.A2 Operation results of various typical days (islanded operation)

Fig.A3 Comparison of upward flexibility margin in various scenarios

Fig.A4 Comparison of downward flexibility margin in various scenarios

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