Robust Co-Planning of Energy Storage and Transmission Line With Mixed Integer Recourse

The paper shows a method of optimizing local initiatives in the energy sector, such as energy cooperatives and energy clusters. The aim of optimization is to determine the structure of generation sources and energy storage in order to minimize energy costs. The analysis is carried out for the time horizon of one year, with an hourly increment, taking into account various RES (wind turbines (WT), photovoltaic installations (PV), and biogas power plant (BG)) and loads (residential, commercial, and industrial). Generation sources and loads are characterized by generation/demand profiles in order to take into account their variability. The optimization was carried out taking into account the technical aspects of the operation of distribution systems, such as power flows and losses, voltage levels in nodes, and power exchange with the transmission system, and economic aspects, such as capital and fixed and variable operating costs. The method was calculated by sixteen simulation scenarios using Mixed-Integer Linear Programming (MILP).

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Reduction of Power Imbalances Using Battery Energy Storage System in a Bulk Power System with Extremely Large Photovoltaics Interactions

Energies ◽

10.3390/en14030522 ◽

2021 ◽

Vol 14 (3) ◽

pp. 522

Author(s):

Rajitha Udawalpola ◽

Taisuke Masuta ◽

Taisei Yoshioka ◽

Kohei Takahashi ◽

Hideaki Ohtake

Keyword(s):

Energy Storage ◽

Power System ◽

Solar Irradiance ◽

Storage System ◽

Energy Storage System ◽

Mixed Integer ◽

Battery Energy Storage System ◽

Large Power ◽

Battery Energy Storage ◽

Battery Energy

Power imbalances such as power shortfalls and photovoltaic (PV) curtailments have become a major problem in conventional power systems due to the introduction of renewable energy sources. There can be large power shortfalls and PV curtailments because of PV forecasting errors. These imbalances might increase when installed PV capacity increases. This study proposes a new scheduling method to reduce power shortfalls and PV curtailments in a PV integrated large power system with a battery energy storage system (BESS). The model of the Kanto area, which is about 30% of Japan’s power usage with 60 GW grid capacity, is used in simulations. The effect of large PV power integration of 50 GW and 100 GW together with large BESS capacity of 100 GWh and 200 GWh has been studied. Mixed integer linear programming technique is used to calculate generator unit commitment and BESS charging and discharging schedules. The simulation results are shown for two months with high and low solar irradiance, which include days with large PV over forecast and under forecast errors. The results reveal that the proposed method eliminates power shortfalls by 100% with the BESS and reduce the PV curtailments by 69.5% and 95.2% for the months with high and low solar irradiance, respectively, when 200 GWh BESS and 100 GW PV power generation are installed.

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The Effectiveness of Energy Cooperatives Operating on the Capacity Market

Energies ◽

10.3390/en14113226 ◽

2021 ◽

Vol 14 (11) ◽

pp. 3226

Author(s):

Jakub Jasiński ◽

Mariusz Kozakiewicz ◽

Maciej Sołtysik

Keyword(s):

Energy Storage ◽

Rural Areas ◽

Agricultural Sector ◽

Renewable Energy Sources ◽

Research Work ◽

Biodiversity Loss ◽

Mixed Integer ◽

Coal Consumption ◽

Pollution Levels ◽

Capacity Market

The European Green Deal aims to make Europe the world’s first climate-neutral continent by 2050 by shifting to a clean circular economy, combating biodiversity loss and reducing pollution levels. In Poland, whose economy invariably remains one of the most dependent on coal consumption in Europe, institutional responses to the above EU objectives have taken the shape of energy cooperatives aimed at filling the gaps in the development of the civic dimension of energy on a local scale and the use of potential renewable energy sources in rural areas, including in relation to the agricultural sector. This article is a continuation of the authors’ previous research work, which has so far focused on the analysis of the development of profitability of Polish institutions that fit into the European idea of a “local energy community”, which includes energy cooperatives. In this research paper, they present the results of subsequent research work and analyses performed on the basis of it which, on the one hand, complement the previously developed optimization model with variables concerning actual energy storage and, on the other hand, analyze the profitability of the operation of energy cooperatives in the conditions of the “capacity market”. The latter was actually introduced in Poland at the beginning of 2021. The research took account of the characteristics of energy producers and consumers in rural areas of Poland, the legally defined rules for the operation of the capacity market and the institutional conditions for the operation of energy cooperatives that can use the potential of energy storage. A dedicated mathematical model in mixed integer programming technology was used, enriched with respect to previous research, making it possible to optimize the operation of energy cooperative with the use of actual energy storage (batteries). Conclusions from the research and simulation show that the installation of energy storage only partially minimizes the volume of energy drawn from the grid in periods when fees related to the capacity market are in force (which should be avoided due to higher costs for consumers). The analysis also indicates that a key challenge is the proper parameterization of energy storage.

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Profit-Based Unit Commitment for a GENCO Equipped with Compressed Air Energy Storage and Concentrating Solar Power Units

Energies ◽

10.3390/en14030576 ◽

2021 ◽

Vol 14 (3) ◽

pp. 576

Author(s):

Mostafa Nasouri Gilvaei ◽

Mahmood Hosseini Imani ◽

Mojtaba Jabbari Ghadi ◽

Li Li ◽

Anahita Golrang

Keyword(s):

Energy Storage ◽

Solar Power ◽

Unit Commitment ◽

Thermal Power ◽

System Structure ◽

Compressed Air ◽

Mixed Integer ◽

Compressed Air Energy Storage ◽

Concentrating Solar Power ◽

Unit Commitment Problem

With the advent of restructuring in the power industry, the conventional unit commitment problem in power systems, involving the minimization of operation costs in a traditional vertically integrated system structure, has been transformed to the profit-based unit commitment (PBUC) approach, whereby generation companies (GENCOs) perform scheduling of the available production units with the aim of profit maximization. Generally, a GENCO solves the PBUC problem for participation in the day-ahead market (DAM) through determining the commitment and scheduling of fossil-fuel-based units to maximize their own profit according to a set of forecasted price and load data. This study presents a methodology to achieve optimal offering curves for a price-taker GENCO owning compressed air energy storage (CAES) and concentrating solar power (CSP) units, in addition to conventional thermal power plants. Various technical and physical constraints regarding the generation units are considered in the provided model. The proposed framework is mathematically described as a mixed-integer linear programming (MILP) problem, which is solved by using commercial software packages. Meanwhile, several cases are analyzed to evaluate the impacts of CAES and CSP units on the optimal solution of the PBUC problem. The achieved results demonstrate that incorporating the CAES and CSP units into the self-scheduling problem faced by the GENCO would increase its profitability in the DAM to a great extent.

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Approximate and exact convexification approaches for solving two-stage mixed-integer recourse models

10.33612/diss.198086429 ◽

2022 ◽

Author(s):

◽

Niels van der Laan

Keyword(s):

Mixed Integer ◽

Two Stage ◽

Integer Recourse

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DESIGN OF LVAC DISTRIBUTION SYSTEM WITH PV AND CENTRALIZED BATTERY ENERGY STORAGE INTEGRATION-A CASE STUDY OF CAMBODIA

ASEAN Engineering Journal ◽

10.11113/aej.v9.15509 ◽

2019 ◽

Vol 9 (2) ◽

pp. 1-16

Author(s):

Vannak Vai ◽

Marie-Cécile Alvarez-Hérault ◽

Long Bun ◽

Bertrand Raison

Keyword(s):

Energy Storage ◽

Load Balancing ◽

Urban Area ◽

Distribution Systems ◽

Mixed Integer ◽

Optimal Topology ◽

Battery Energy Storage ◽

Discounted Cost ◽

Battery Energy

This paper studies an optimal design of grid topology and integrated photovoltaic (PV) and centralized battery energy storage considering techno-economic aspect in low voltage distribution systems for urban area in Cambodia. This work aims at searching for an optimal topology including size of the battery energy storage by two different methods over the planning study of 15 years. Firstly, the shortest path algorithm (SPA) and first-fit bin-packing algorithm (FFBPA) are used to find out the topology which minimize the line and the load balancing. Secondly, mixed integer quadratically constrained programming (MIQCP) algorithms are developed to search for a topology which minimize conductor use and the load balancing improvement. Next, Genetic algorithm is developed to size the maximum PV peak power connected into LV network with respected to voltage and current constraints. Then, the size of battery energy storage procedure is established in order to eliminate the reverse power flow going on medium voltage (MV) grid and to improve the autonomous operation time of system. A discounted cost method is used to evaluate the solutions for different methods. Lastly, an urban area in Cambodia is chosen as a case study in this paper. Simulation results confirm the proposed method in this research.

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