Adaptive Robust Short-Term Planning of Electrical Distribution Systems Considering Siting and Sizing of Renewable Energy Based DG Units

Melgar‐Dominguez, Ozy D.; Pourakbari‐Kasmaei, Mahdi; Mantovani, José Roberto Sanches

doi:10.1109/tste.2018.2828778

Cited by 70 publications

(54 citation statements)

References 28 publications

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“…To this end, the MINLP model was reformulated into a mixed-integer linear programming (MILP) model that could be effectively embedded into an HEMS. A product of a binary variable and a continuous variable can be easily reformulated into linear expressions [22]. However, to linearize the nonlinear term related to the absolute function, two positive auxiliary variables are used.…”

Section: Optimization Modelmentioning

confidence: 99%

Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

et al. 2018

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Efficient utilization of renewable generation inside microgrids remains challenging. In most existing studies, the goal is to optimize the energy cost of microgrids by working in synergy with the main grid. This work aimed at maximizing the self-consumption of on-site photovoltaic (PV) generation using an electrical storage, as well as demand response solutions, in a building that was also capable of interacting with the main grid. Ten-minute resolution data were used to capture the temporal behavior of the weather. Extensive mathematical models were employed to estimate the demand for hot-water consumption, space cooling, and heating loads. The proposed framework is cast as mixed-integer linear programming model while minimizing the interaction with the grid. To evaluate the effectiveness of the proposed framework, it was applied to a typical Finnish household. Matching indices were used to evaluate the degree of overlap between generation and demand under different PV penetrations and storage capacities. Despite negative correlation of PV generation with Finnish seasonal consumption, a significant portion of demand can be satisfied solely with on-site PV generation during the spring and summer seasons.

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Section: Optimization Modelmentioning

confidence: 99%

Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

et al. 2018

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“…ECENT developments in modular low-carbon resources are reshaping power systems, posing new operational and planning challenges for distribution networks [1], [2]. To this end, the evolution in power delivery has resulted in sophisticated structures with generation close to consumers, advanced metering, distributed control, and active distribution networks.…”

Section: Introductionmentioning

confidence: 99%

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

Pourakbari‐Kasmaei

Asensio

Lehtonen

et al. 2020

IEEE Trans. Power Syst.

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This paper proposes a trilateral bilevel stochastic mixed integer bilevel linear programming (MIBLP) model to handle a joint master-slave operation-planning problem. This model considers the interactions among an integrated community energy system (ICES), prosumers, and the wholesale electricity market (WM). The ICES, in the upper level, makes a joint optimal photovoltaic (PV) and energy storage system plan taking into account the concurrent interactions with the WM and prosumers to maximize its profit. On the other hand, in the lower level, the prosumers aim at minimizing their bills via an optimal PV-package sizing while interacting with the ICES and the WM simultaneously. The strong duality theorem is used to recast this MIBLP model into an equivalent single-level model. Since the lower level is also an operation-planning problem, this recast results in a mixed integer nonlinear programming (MINLP) model that prevents finding a satisfactory solution. To remedy this issue, sensitivity analysis and a separation-based linearization technique are applied. Numerical results illustrate the effective performance of the proposed business model while providing valuable information for the ICES and consumers.

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“…Analogously, in [12], distributed generation (DG) units based on multiples renewable energy technologies were simultaneously optimized to improve the performance indices related to technical, economic, and environmental aspects. A strategic planning scheme, to enhance the performance of the EDN considering multiple short-term planning actions at the presence of renewable energy sources was presented in [13] where the environmental targets were addressed via the carbon cap policy. On the other hand, in [14], actions such as substation and feeder reinforcement and DG allocation was formulated to solve a long-term distribution planning problem.…”

Section: Introductionmentioning

confidence: 99%

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

Melgar‐Dominguez¹,

Pourakbari‐Kasmaei

Lehtonen

et al. 2019

IET Generation, Transmission & Distribution

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Nowadays, strategies to cope with environmental issues play a crucial role in the development of planning methodologies for electric distribution networks (EDNs). The primary goal of these methodologies is to find the equilibrium point, for which the EDN provides a high-quality service with the most environmentally-committed operation. Based on this fact, an alternative strategic approach for short-term EDN planning is presented in this manuscript. This decision-making scheme is based on classical investment actions to enhance the EDN performance in which the investment and operating costs, as well as the carbon tax surpluses, are minimized simultaneously. In this regard, unlike the traditional short-term planning methods and to explore a more accurate approach, the electricity demand is represented by the voltage-dependent exponential load model. By using this representation, substantial benefits related to energy saving can be achieved. To validate the proposed planning scheme, several test cases considering constant power demand and the voltage-dependent representation are widely studied on a 135-node distribution network. Additionally, the scalability of the proposed planning scheme is studied by using two medium distribution networks of 42-and 417-node. Numerical results confirm the robustness and applicability of the presented approach as an appropriate way of promoting to an efficient and low carbon tax surplus network.

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Adaptive Robust Short-Term Planning of Electrical Distribution Systems Considering Siting and Sizing of Renewable Energy Based DG Units

Cited by 70 publications

References 28 publications

Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

Matching of Local Load with On-Site PV Production in a Grid-Connected Residential Building

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

Voltage‐dependent load model‐based short‐term distribution network planning considering carbon tax surplus

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