Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Distributed Energy Resource Scheduling with Focus on Demand Response Complex Contracts
Author:
Affiliation:

1.GECAD–Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, R. Dr. António Bernardino de Almeida, 431, 4249-015, Porto, Portugal;2.Polytechnic of Porto, R. Dr. António Bernardino de Almeida, 431, 4249-015, Porto, Portugal

Fund Project:

This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under project DOMINOES (No. 771066), the FEDER Funds through COMPETE program, and the National Funds through FCT under the projects UIDB/00760/2020 and CEECIND/02887/2017 CIND.

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    Abstract:

    Demand response (DR) is a flexible way to improve distributed energy resource scheduling. The innovative contribution of this paper is to include complex contracts in the model, which can accommodate the constraints according to the special expectations of each player. Such contracts are included in the optimization of distributed energy resource scheduling to dispatch DR according to the expectations of consumers. Multi-period DR events are considered. In this way, consumers can specify the limits on the time, power, and remuneration regarding participation in DR events, which has not been considered in the literature. The state of the art treats these aspects separately or uses a statistical approach, without providing consumers with options to combine their preferences regarding different aspects of their flexibility deployment. The model has been validated for 218 consumers using several scenarios and different types of distributed generation, showing that it is possible to increase DR with respect to the preferences of consumers.

    表 4 Table 4
    图1 Complex contract definitions.Fig.1
    图2 Profiles of different DG resources.Fig.2
    图3 Consumption profiles.Fig.3
    图4 Resource scheduling with wind unavailability in Scenario A.Fig.4
    图5 Resource scheduling with wind unavailability and implementation of DR in Scenario B.Fig.5
    图6 Resource scheduling with wind unavailability and implementation of DR in Scenario C.Fig.6
    图7 Cluster scheduling with wind unavailability and implementation of DR in Scenario C.Fig.7
    图8 Generation resource comparison. (a) Regular supplier. (b) Additional supplier. (c) Thermal. (d) Wind.Fig.8
    图9 DR resource comparison. (a) Consumption cluster 1. (b) Consumption cluster 2. (c) Consumption cluster 3. (d) Consumption cluster 4. (e) Consumption cluster 5.Fig.9
    表 5 Table 5
    表 1 Table 1
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History
  • Received:May 19,2020
  • Revised:
  • Adopted:
  • Online: September 28,2021
  • Published: