Risk-constrained scheduling of a CHP-based microgrid including hydrogen energy storage using robust optimization approach |
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| Affiliation: | 1. Department of Electrical Engineering, University of Bonab, Bonab, Iran;2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;1. Photovoltaic Laboratory, Centre for Energy Studies, Indian Institute of Technology Delhi, 110016, India;2. Department of Mechanical Engineering, BITS-Pilani, Pilani Campus, Rajasthan 333031, India;1. Electrical Engineering Department, Faculty of Engineering, Yasouj University, Yasouj, Iran;2. Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran;3. Department of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran;1. Dept. of Architectural Engineering, Pennsylvania State Univ., 104 Engineering Unit A, University Park, PA, 16802, USA;2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran;3. Faculty of Engineering and Environment, Northumbria University, Newcastle Upon Tyne, NE1 8ST, UK;4. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Viet Nam;1. School of Electrical and Computer Engineering, National Technical University of Athens, Heroon Polytechniou 9, 15780, Zografou, Greece;2. Department of Electronics Engineering, TEI Piraeus, P. Ralli & Thivon 250, 12244, Aigaleo, Greece;3. Department of Mechanical Engineering, TEI of Western Greece, Megalou Alexandrou 1, Koukouli, Patras, Greece;1. Faculty of Electrical Engineering, Shahid Beheshti University, Tehran, Iran;2. Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, Iran;3. Department of Electrical Engineering, Bu-Ali Sina University, Hamadan, Iran |
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| Abstract: | Recently, the integration of various energy resources, including renewable generation and combined heat and power (CHP) units in microgrids, has created the opportunity of off-grid operation with a suitable range of reliability. This paper presents an optimization model to schedule an islanded MG with various resources, including CHP, photovoltaic (PV), and boiler, as the primary energy provision sources besides electric battery storage, thermal storage and hydrogen energy system (HES). The HES has the power-to-hydrogen (P2H) and hydrogen-to-power (H2P) modes, which increases the flexibility of the scheduling. The uncertainty management is the most essential task in the CHP-based MGs scheduling problem, since the power and heat productions are interrelated and can result in economic losses without enough deliberations. Hence, this paper proposes the robust optimization approach (ROA) to cope with the uncertainties associated with the PV production and electric and heat load demands. The robust counterparts are applied to the deterministic problem to create a tractable adjustable robust framework. The problem is structured as a mixed-integer linear programming (MILP) handled by the General Algebraic Modeling System (GAMS) using CPLEX solver. The results verified the effectiveness of the proposed robust counterparts in managing the associated risk. The results illustrated a conscious scheduling strategy under robust conditions. However, the more preserved decisions are taken, the higher operational cost is realized. In this regard, the increment of robustness level from the lowest value (deterministic condition) to the highest value (conservatism condition) increased the operation cost by about 43.29%. |
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| Keywords: | Robust optimization Combined heat and power (CHP) Hydrogen energy system (HES) Robust counterpart Multi-energy microgrid |
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