Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

A Two-stage Adaptive Robust Model for Residential Micro-CHP Expansion Planning
Author:
Affiliation:

Department of Electrical Engineering, Semnan University, Semnan, Iran

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
    Abstract:

    This paper addresses the planning problem of residential micro combined heat and power (micro-CHP) systems (including micro-generation units, auxiliary boilers, and thermal storage tanks) considering the associated technical and economic factors. Since the accurate values of the thermal and electrical loads of this system cannot be exactly predicted for the planning horizon, the thermal and electrical load uncertainties are modeled using a two-stage adaptive robust optimization method based on a polyhedral uncertainty set. A solution method, which is composed of column-and-constraint generation (C&CG) algorithm and block coordinate descent (BCD) method, is proposed to efficiently solve this adaptive robust optimization model. Numerical results from a practical case study show the effective performance of the proposed adaptive robust model for residential micro-CHP planning and its solution method.

    表 1 Table 1
    表 3 Table 3
    表 2 Table 2
    表 4 Table 4
    图1 Schematic representation of a typical residential micro-CHP system.Fig.1
    图2 Flowchart of proposed solution method.Fig.2
    图3 Forecasting values of hourly electrical and thermal loads for representative day in different seasons. (a) Spring. (b) Summer. (c) Fall. (d) Winter.Fig.3
    图4 Generated electricity and heat of micro-CHP unit and generated heat of boiler on representative day in winter season of the first year.Fig.4
    图5 Electricity purchased from/sold to upstream grid on representative day in fall season of the first year.Fig.5
    Reference
    Related
    Cited by
Get Citation
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:January 01,2021
  • Online: August 04,2021