Journal of Modern Power Systems and Clean Energy

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Home > Archive>Volume 9, Issue 2, 2021 >264-273. DOI:10.35833/MPCE.2019.000056
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Optimal Planning of Community Integrated Energy Station Considering Frequency Regulation Service
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Affiliation:

1.Key Laboratory of the Ministry of Education on Smart Power Grids (Tianjin University), Tianjin 300072, China;2.Mälardalens University, Västerås, 72598, Sweden;3.State Grid Customer Service Center, Tianjin 300300, China

Fund Project:

This work was supported by the National Key R&D Program of China (No. 2018YFB0905000) and National Natural Science Foundation of China (No. 51961135101).

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    Abstract:

    With the extensive integration of high-penetration renewable energy resources, more fast-response frequency regulation (FR) providers are required to eliminate the impact of uncertainties from loads and distributed generators (DGs) on system security and stability. As a high-quality FR resource, community integrated energy station (CIES) can effectively respond to frequency deviation caused by renewable energy generation, helping to solve the frequency problem of power system. This paper proposes an optimal planning model of CIES considering FR service. First, the model of FR service is established to unify the time scale of FR service and economic operation. Then, an optimal planning model of CIES considering FR service is proposed, with which the revenue of participating in the FR service is obtained under market mechanism. The flexible electricity pricing model is introduced to flatten the peak tie-line power of CIES. Case studies are conducted to analyze the annual cost and the revenue of CIES participating in FR service, which suggest that providing ancillary services can bring potential revenue.

    表 3 Table 3
    表 4 Table 4
    表 2 Table 2
    表 1 Table 1
    图1 PJM FR signal.Fig.1
    图2 Structure of CIES with candidate devices.Fig.2
    图3 Typical daily load in June.Fig.3
    图4 Typical daily load in November.Fig.4
    图5 Annual purchased power in Scenarios 2 and 3. (a) Scenario 2. (b) Scenario 3.Fig.5
    图6 Comparison of purchased power on typical days in June and November. (a) June. (b) November.Fig.6
    图7 Comparison of electricity prices in Scenarios 2 and 3.Fig.7
    图8 Maximum tie-line power in Scenarios 2 and 3 in June. (a) Scenario 2. (b) Scenario 3.Fig.8
    图9 Maximum tie-line power in Scenarios 2 and 3 in November. (a) Scenario 2. (b) Scenario 3.Fig.9
    表 5 Table 5
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  • Received:September 27,2019
  • Online: March 22,2021

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