Hierarchical two‐stage robust optimisation dispatch based on co‐evolutionary theory for multiple CCHP microgrids. Issue 19 (16th February 2021)

• Record Type: Journal Article
• Authors: Tan, Bifei; Chen, Haoyong; Zheng, Xiaodong
• Is Part Of: IET renewable power generation. Volume 14:Issue 19(2020)
• Page Start: 4121
• Page End: 4131
• Publication Date: 2021-02-16
• Subjects: power generation economics -- gas turbines -- power generation control -- wind power plants -- cogeneration -- distributed power generation -- minimax techniques -- power generation dispatch -- fuel cells -- power transmission; co‐evolutionary theory -- two‐stage robust optimisation dispatch model -- multiple CCHP microgrid systems -- wind power output -- electric power -- cooling loads -- transmission line failures -- waste heat -- power transmission -- optimised dispatch problem -- enhanced optimisation performance -- hierarchical robust optimisation dispatch -- combined cooling‐heating‐power microgrids -- electricity purchasing -- fuel cells -- energy storage devices -- gas turbines -- distribution factor -- McCormick envelopes relaxation -- column generation algorithm -- constraint generation algorithm -- min‐max‐min problem; Renewable energy sources -- Periodicals; 333.79405
• DOI: 10.1049/iet-rpg.2020.0283
• Languages: English
• ISSNs: 1752-1416

Abstract

Abstract : Combined cooling, heating, and power (CCHP) microgrids are a special form of a microgrid that is attracting increasing attention. This study contributes to the goal of minimising the operation cost of CCHP microgrids by proposing a hierarchical two‐stage robust optimisation dispatch model for multiple CCHP microgrid systems. The uncertainties associated with wind power output, electric power, heating, and cooling loads, and transmission line failures are considered in the proposed model. Moreover, the electricity purchasing and selling prices of each microgrid are independently determined. The proposed model applies the outputs of fuel cells, energy storage devices, and gas turbines, the distribution factor of waste heat, and the power transmission between the microgrids and an external grid as control variables. The optimised dispatch problem is solved using McCormick envelopes relaxation and a novel column and constraint generation algorithm that provides enhanced optimisation performance by implementing co‐evolutionary theory. In this way, the microgrid system is divided into several sections, and each section is represented as an individual min–max–min problem. The rationality and validity of the proposed model and the superiority of the solution performance of the improved algorithm are verified through simulation case studies involving a system composed of four CCHP microgrids.