Optimization of a reliable combined heat and power microgrid considered uncertainty

Abstract

The uncertainties associated with load and wind power forecasting affect the system operation and planning decision. Ignoring the uncertainties in planning process leads to a high risk. In this paper a novel intelligent method is applied to the problem of sizing in a micro-grid power system for Ganje area in north-west Iran such that the electrical and heat demand of residential area is met. The micro-grid consists of fuel cells, some wind units, some electrolyzers, a reformer, an anaerobic reactor, some hydrogen tanks and also thermal storage tank. The heat requirements of systems consist of water heating load and Space heating load. The heat produced by fuel cells is used to supply heat required of system. When the heat produced by fuel cells is more than demand surplus heat is stored in thermal storage tank. In this study also waste and natural gas are used to produce heat for system. For supplying heating loads in micro grid , produced heat of fuel cell is used at first and then produced heat of waste and at the end the natural gas are used. Particle Swarm Optimization (PSO) algorithm is used for optimal sizing of system's components. The notions of reliability are considered in this microgrid.

Strategy to stabilise power fluctuation of distributed renewable energy in combined heat and power micro‐grid

“…This kind of micro‐grid implements the supply collaboration and the comprehensive utilisation of electricity and heat. By using the devices of cogeneration and electric heating, the power grid, and the thermal network are integrated [3–5].…”