Browsing by Author "Mozafari Jovein, Yasaman"

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    Integrated Electricity, Heat, and Gas Infrastructure Expansion Planning: A Case Study of Alberta Energy System
    (2015-07-08) Mozafari Jovein, Yasaman; Rosehart, William; Zareipour, Hamidreza
    The problem of expansion planning is the problem of determining the optimum size, time, and location of infrastructure that is required to be added into the system. In this thesis, an integrated and multi-area framework for expansion planning of electricity, heat, and gas infrastructure is developed with the objective of minimizing cost over the planning horizon. First, the expansion planning problem involving electricity and heat energy systems is modeled. This model finds a plan for future installation of electricity generation units, CHPs and boilers along with the optimal dispatch of existing and new facilities. Second, the model is further developed by including the gas infrastructure. Thus, a comprehensive expansion planning of the electricity generation and transmission, heat generation, gas production, gas pipelines, and gas storage is conducted. The simulation results on Alberta energy system indicate the proposed model outperforms the existing expansion planning models in terms of cost and emissions.
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    Integrated Expansion Planning of Electricity, Heat, and Gas in Presence of Demand and Wind Uncertainty
    (2022-06-22) Mozafari Jovein, Yasaman; Rosehart, William; Bergerson, Joule; Westwick, David; Zinchenko, Yuriy; Yanushkevich, Svetlana; Gokaraju, Ramakrishna
    Recent shift towards higher renewable penetration in power systems, has resulted in increasing gas-fired generation capacity in power systems, implying electricity and gas infrastructure interdependency. Furthermore, highly efficient combined heat and power (CHP) units lead to heat and electricity interdependency. It is crucial to consider these interdependencies in the expansion planning of energy systems for an effective and reliable investment planning and policy design. In this thesis, the problem of integrated expansion planning of electricity, heat, and gas in presence of demand and wind uncertainty is addressed. A comprehensive multi-area planning model including generation, CHPs, boilers, transmission network, and gas pipeline expansion is proposed. The advantages of integrated approach versus the non-integrated approaches in terms of cost and emission is illustrated through simulations on a simplified Alberta energy system model. Representative operating scenario selection method is used to model wind and demand uncertainties, and to address computational complexity of a central planning model. Load duration curve technique is compared with k-means and k-means++ clustering, the impact of initialization is investigated, and the impact of spatial data correlation on the solution is analyzed. To overcome drawbacks of k-means clustering, application of algebraic multi-grid clustering in scenario selection for integrated energy system expansion planning is explored. The simulation results on a modified IEEE-118 bus test system and a 14-node gas network shows that the algebraic multi-grid clustering outperforms the classical methods such as k-means by following the benchmark case more closely. Finally, to ensure robustness of the obtained investment plan, an adaptive robust optimization model including electricity demand, heat demand, and wind uncertainty is proposed. The model ensures reliability targets in both electricity and heat sector are met. The simulation results on the IEEE-118 bus test system verify the effectiveness of the proposed model in dealing with uncertainties and meeting future electricity and heat demand reliably.