Optimal Scheduling of Biogas–Solar–Wind Renewable Portfolio for Multicarrier Energy Supplies

Abstract

This paper proposes a multi-source multi-product framework for coupled multi-carrier energy supplies with a biogas-solar-wind hybrid renewable system. In this framework, the biogas-solar-wind complementarities are fully exploited based on digesting thermodynamic effects for the synergetic interactions of electricity, gas and heating energy flows, and a coupling matrix is formulated for the modeling of production, conversion, storage, and consumption of different energy carriers. The multi-energy complementarity of biogas-solar-wind renewable portfolio can be utilized to facilitate the mitigation of renewable intermittency and the efficient utilization of batteries, and a multi-carrier generation scheduling scheme is further presented to dynamically optimize dispatch factors in the coupling matrix for energy-efficient conversion and storage, while different energy demands of end-users are satisfied. The proposed methodology has been fully tested and benchmarked on a stand-alone Microgrid over a 24-hour scheduling horizon. Comparative results demonstrate that the proposed scheme can lower the battery charging/discharging actions as well as the degradation cost, and also confirm its capability to accommodate high penetration of variable renewables. Index Terms-Energy hub, energy storage, renewable energy, Microgrid, multi-energy systems. . His main fields of research include smart grid operation and planning, renewable energy generation, and energy efficiency. Da Xu received the B.Sc. degree in automation . His research interests include power system stability, control, planning and operation, computational intelligence applications, and electric vehicle charging. Yijia Cao (M'98-SM'13) received the B.Sc. degree in electrical engineering from Xi'an Jiaotong University, Xi'an, China, in 1988, and the Ph.D. degree His research interests include power system cascading failure, smart grid information technology, smart grid operation and optimization. Ka Wing Chan (M'98) received the B.Sc. (with First Class Honors) and Ph.D. degrees in electronic and electrical engineering from the University of Bath, Bath, U.K., in 1988 and 1992, respectively. He currently is an Associate Head and Associate Professor in the Department of Electrical Engineering of The Hong Kong Polytechnic University. His general research interests include smart grid and renewable energy, power system stability analysis and control, power system planning and optimization, real-time power system simulation. Qiuwei Wu (M'08-SM'15) received the B.Eng. and M.Eng. degrees from

Distributed Multienergy Coordination of Multimicrogrids With Biogas-Solar-Wind Renewables

“…Biogas is a potential RES and is also becoming more and more appealing due to the growing demand of affordable and diversified energy services such as electricity, heating, and lighting [12], [13]. In [14], the optimal scheduling of hybrid RESs was investigated, in which the biogas-solar-wind complementarities are formed as a multi-energy microgrid for coupled multi-carrier energy supplies including electricity, heat, and gas. As an alternative to electricity, the renewable biogas can be used for electrical and thermal energy production in a CHP unit to satisfy local multi-energy loads, or be delivered to satisfy load demand in surrounding areas through gas pipeline [12].…”

“…As an alternative to electricity, the renewable biogas can be used for electrical and thermal energy production in a CHP unit to satisfy local multi-energy loads, or be delivered to satisfy load demand in surrounding areas through gas pipeline [12]. This paper is devoted to further extend the microgrid in [14] to a biogas-solar-wind multi-microgrid system and form as an interconnected energy hub [15]- [17] to accommodate the variability of RESs and process multi-energy carriers.…”

“…This paper aims to jointly optimize all the interconnected biogas-solar-wind microgrids to minimize their total operating cost while considering system operational uncertainties. The biogas-solar-wind renewables in an individual microgrid are intensively coupled based on the digesting thermodynamic effects [14]. With the digestion temperature effects on biogas production, the available electricity and thermal energy from renewable generations could be utilized for digester heating, thereby facilitating the anaerobic digestion process for biogas yield enhancement.…”

Trilateral Planning Model for Integrated Community Energy Systems and PV-Based Prosumers—A Bilevel Stochastic Programming Approach

“…A VPP offers the joint coordination of DGs and flexible loads to mitigate unwelcome power fluctuations of renewables and demands [8]. EHs, by integrating electricity, thermal energy, natural gas, etc., provide high flexibility for the electricity consumers to choose the best source of energy, which guarantees the environmental costeffectiveness [9], [10]. However, an ICES, combining existing energy infrastructure and available resources in a community, maximizes the energy efficiency via the most ecological, technical, and economic way [11].…”

Multi-Objective Optimal Capacity Planning for 100% Renewable Energy-Based Microgrid Incorporating Cost of Demand-Side Flexibility Management

“…The authors in [14] performed and provided a comprehensive framework for techno-economic flexibility analysis based on MILP optimization model by combining complimentary distribution generation alternatives such as thermal storage, heat pump, and cogeneration. The importance of the appropriate selection of complementary generating technologies coupled with energy storage system (ESS), with an improved optimal operation strategy, as a cost-effective path towards ensuring power system flexibility is highlighted in [17]. Electricity storage has played a valuable and significant central role in power system in many aspects [18].…”