Optimal Dispatch Strategy for a Flexible Integrated Energy Storage System for Wind Power Accommodation

The application of the large-capacity energy storage and heat storage devices in an integrated energy system with a high proportion of wind power penetration can improve the flexibility and wind power accommodation capacity of the system. However, the efficiency and cost of the flexible resource should also be taken into consideration when improving the new energy accommodation capacity. Based on these considerations, the authors try to construct a joint optimal scheduling model for day-ahead energy storage and heat storage that considers flexibility. The power supplies and devices will be modeled separately, which enables a universal applicability. The objective function is the minimum cost and wind curtailment. Various practical constraints are taken into account. The mixed integer programming and software GLPK is used to program and solve. The actual operation data of a provincial power grid in northern China is used to conduct simulation analysis in four different working conditions. The results show that the model can maintain economical efficiency under different working conditions. In addition, it can adjust and dispatch various power supplies and devices efficiently, significantly improving wind power accommodation of the system.

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Optimal Design of a Hybrid Energy System for the Supply of Clean and Stable Energy to Offshore Installations

Frontiers in Energy Research ◽

10.3389/fenrg.2020.607284 ◽

2020 ◽

Vol 8 ◽

Author(s):

Luca Riboldi ◽

Erick F. Alves ◽

Marcin Pilarczyk ◽

Elisabetta Tedeschi ◽

Lars O. Nord

Keyword(s):

Energy Storage ◽

Optimal Design ◽

Wind Power ◽

Gas Turbines ◽

Storage System ◽

Energy System ◽

Energy Storage System ◽

Offshore Wind ◽

Hybrid Energy ◽

Comprehensive Picture

This paper presents an innovative hybrid energy system for stable power and heat supply in offshore oil and gas installations. The proposed concept integrates offshore wind power, onsite gas turbines and an energy storage system based on fuel cell and electrolyzer stacks. It is expected to be an effective option to decarbonize the offshore petroleum sector as it allows a more extensive exploitation of the offshore wind resource by means of energy storage. To ascertain its potential, an integrated model was developed. The integrated model allows to simulate the process and electric grid performances. The inclusion of both domains provides a comprehensive picture of a given design operational performance. The feasibility of the proposed concept was first investigated through a parametric analysis where an understanding of its potential and limitations was gained. A rigorous optimization was then implemented to identify the designs resulting in the best performances and ultimately to obtain a comprehensive picture of the suitability of the concept. It is shown that a well-designed system can reduce carbon emissions compared, not only to a standard concept based on gas turbines (almost 1,300 kt less CO2 emissions, making up for a relative 36% reduction), but also to the integration of a wind farm alone (more than 70 kt less CO2 emissions, making up for a relative 3% reduction, but complying with grid dynamics requirements). Moreover, the energy storage system brings benefits to the electric grid stability and allows the integration of large wind power capacity without overpassing the 2% maximum frequency variation (as it is the case without energy storage). Not least, the optimization showed that the definition of an optimal design is a complex task, with little margin to further gains in terms of carbon emissions, likely due to technological limitations.

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Research on Double-Layer Optimized Configuration of Multi-Energy Storage in Regional Integrated Energy System with Connected Distributed Wind Power

Energies ◽

10.3390/en12203964 ◽

2019 ◽

Vol 12 (20) ◽

pp. 3964 ◽

Cited By ~ 3

Author(s):

Quanming Zhang ◽

Zhichao Ren ◽

Ruiguang Ma ◽

Ming Tang ◽

Zhongxiao He

Keyword(s):

Energy Storage ◽

Natural Gas ◽

Wind Power ◽

Double Layer ◽

Energy System ◽

Mixed Integer ◽

Storage Technology ◽

Energy Storage Technology ◽

Integrated Energy System ◽

Upper Level

With the wide application of multi-energy storage technology in the regional integrated energy system, the configuration of multi-energy storage devices is expected to enhance the economic benefits of regional integrated energy systems. To start with, in this paper, the basic framework of the regional integrated energy system is constructed, and a mathematical model of micro-gas turbine, gas boiler, distributed wind power and multi-energy storage device is established. Then, the multi-energy storage and double-layer planning configuration model with multi-energy complementation is established. The upper level of the model aims to minimize the comprehensive investment cost of multi-energy storage, while the lower level of the model aims to minimize the comprehensive systematic operating cost, in which the net losses cost is also included and the required multi-energy storage capacity from the upper level is set as its constraint. During the programming and problem solving, the second-order conic relaxation technology is introduced to realize the convex relaxation for power flow constraint. At the same time, the piecewise linearization method is adopted to deal with the natural gas pipeline flow constraint, which can convert the original model into a mixed integer programming problem. In the end, the example analysis is carried out in the IEEE 33-bus system and the improved 6-node natural gas system. The results show that the multi-energy storage technology can improve the economics of the regionally integrated energy system to a certain extent, and have verified the validity of the model.

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Thermal Unit Commitment Problem with Wind Power and Energy Storage System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.347-350.1455 ◽

2013 ◽

Vol 347-350 ◽

pp. 1455-1461 ◽

Cited By ~ 1

Author(s):

Rui Wang ◽

Yu Guang Xie ◽

Kai Xie ◽

Ya Qiao Luo

Keyword(s):

Energy Storage ◽

Wind Power ◽

Branch And Bound ◽

Unit Commitment ◽

Storage System ◽

Operating Cost ◽

Peak Load ◽

Energy Storage System ◽

Mixed Integer ◽

Unit Commitment Problem

This paper presents a methodology for solving unit commitment (UC) problem for thermal units integrated with wind power and generalized energy storage system (ESS).The ESS is introduced to achieve peak load shaving and reduce the operating cost. The volatility of wind power is simulated by multiple scenarios, which are generated by Latin hypercube sampling. Meanwhile, the scenario reduction technique based on probability metric is introduced to reduce the number of scenarios so that the computational burden can be alleviated. The thermal UC problem with volatile wind power and ESS is transformed to a deterministic optimization which is formulated as the mixed-integer convex program optimized by branch and bound-interior point method. During the branch and bound process, the best first search and depth first search are combined to expedite the computation. The effectiveness of the proposed algorithm is demonstrated by a ten unit UC problem.

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Comparison of Batteries and Pumping Hydro with PaTs as energy storage technologies for a micro-hybrid generation system: Multi-objective optimization through a MILP algorithm

E3S Web of Conferences ◽

10.1051/e3sconf/202123802004 ◽

2021 ◽

Vol 238 ◽

pp. 02004

Author(s):

Jacopo C. Alberizzi ◽

Massimiliano Renzi

Keyword(s):

Energy Storage ◽

Fitness Function ◽

Storage System ◽

Energy System ◽

Mixed Integer ◽

Small Scale ◽

Physical Constraints ◽

Multi Objective ◽

Micro Grid ◽

Storage Technologies

Small-scale hybrid energy systems are often composed by different power production technologies and adopted in mini-grids. In this work, a Mixed Integer Linear Programming optimization algorithm has been developed to compute the optimal scheduling of a micro-grid constituted by Internal Combustion Generators (ICGs) and a Storage System that can be either a conventional battery storage system or a Pumping Hydro energy Storage (PHES) based on Pump-as-Turbines. The algorithm computes the optimal energy generation scheduling of the micro-grid, minimizing a multi-objective fitness function constituted by the total costs of the energy system and the total CO2 and NOx emissions. In particular, the emissions are modelled with varying trends depending on the ICG load and not with constant values, which represents a simplification that is often adopted but that can induce misleading results. Furthermore, the algorithm takes into account all the physical constraints related to the generators and the storage system, such as maximum and minimum power generation, ramp-up and ramp-down limits and minimum up and down-time. The two energy storage technologies are compared and results show that a management strategy based on this algorithm can reduce significantly the total emissions of the system.

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Modeling and simulation of wind turbine heat recycling system

Thermal Science ◽

10.2298/tsci191102084m ◽

2020 ◽

Vol 24 (5 Part B) ◽

pp. 3099-3107

Author(s):

Yan Ma ◽

Lijun Xu ◽

Yanglong Li ◽

Yang Liu

Keyword(s):

Wind Energy ◽

Molten Salt ◽

Wind Power ◽

Heat Storage ◽

Simulation Analysis ◽

Storage System ◽

Heating System ◽

System Model ◽

Generation System ◽

Power Generation System

The paper aims to discuss the power supply and heat supply system of wind turbine, promote the development of wind energy in heat recycling, and expand the application of renewable energy resources in replacing fossil energy. Starting from the construction of wind power heat storage system model, first, molten salt was selected as the fluid heat storage material. Based on the realization process of two-pot molten salt electrothermal transformation, the model of two-pot molten salt heat storage (MSHS) system was established. Second, based on the model of heat storage system, the high temperature MSHS wind power heating system was simulated by using the numerical simulation analysis method. The results showed that the simulation results of the thermal storage system model were highly consistent with the actual results, and the model was accurate and reliable, which was suitable for the simulation analysis of the thermal storage system. After a day of operation, the utilization rate of wind energy of the MSHS wind power heating system could reach more than 94%. The combination of the MSHS wind power system and regional heating had obvious effect on absorbing wind power, saving resources, and solving the problems of wind curtailment. In the MSHS wind power supply heating system, the configuration of MSHS significantly improved the utilization ratio of wind energy in the wind power generation system, even up to 100% at maximum. To sum up, the configuration of MSHS can absorb most of the wind energy generated on that day, thus improving the energy utilization ratio of the wind power generation system.

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