Key Technologies for Integration of Multitype Renewable Energy Sources—Research on Multi-Timeframe Robust Scheduling/Dispatch

Chen, Haoyong; Xuan, Peizheng; Wang, Yongchao; Tan, Ke; Jin, Xiaoming

doi:10.1109/tsg.2015.2388756

Cited by 67 publications

(25 citation statements)

References 19 publications

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“…usually on an hourly time resolution, under a large set of unit and system constraints. The solution of the economic dispatch provides the commitment status and dispatch scheduling for units during the respective scheduling period under study [27], which offers an ideal path to assess the market-based operational economy, i.e. the variable cost (VC), of an energy system.…”

Section: Mathematical Model Of Economic Dispatch: Objectivementioning

confidence: 99%

Value assessment of hydrogen-based electrical energy storage in view of electricity spot market

You

Lin

2016

J. Mod. Power Syst. Clean Energy

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Hydrogen as an energy carrier represents one of the most promising carbon-free energy solutions. The ongoing development of power-to-gas (PtG) technologies that supports large-scale utilization of hydrogen is therefore expected to support hydrogen economy with a final breakthrough. In this paper, the economic performance of a MW-sized hydrogen system, i.e. a composition of water electrolysis, hydrogen storage, and fuel cell combined heat and power plant (FCCHP), is assessed as an example of hydrogen-based bidirectional electrical energy storage (EES). The analysis is conducted in view of the Danish electricity spot market that has high price volatility due to its high share of wind power. An economic dispatch model is developed as a mixed-integer programming (MIP) problem to support the estimation of variable cost of such a system taking into account a good granularity of the technical details. Based on a projected technology improvement by 2020, sensitivity analysis is conducted to illustrate how much the hydrogen-based EES is sensitive to variations of the hydrogen price and the capacity of hydrogen storage.

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Section: Mathematical Model Of Economic Dispatch: Objectivementioning

confidence: 99%

Value assessment of hydrogen-based electrical energy storage in view of electricity spot market

You

Lin

2016

J. Mod. Power Syst. Clean Energy

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“…This use of cascading UC to mimic the behaviour of a day-ahead and intra-day market was implemented by [16]. The market behaviour was modelled by a 24 h MILP unit commitment with a stochastically generated VRE forecast for the day ahead and a 4 h non-linear point algorithm to minimise the cost associated with diverging from the day-ahead UC.…”

Section: Introductionmentioning

confidence: 99%

Effect of Different Interval Lengths in a Rolling Horizon MILP Unit Commitment with Non-Linear Control Model for a Small Energy System

2019

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In this paper, a fixed electricity producer park of both a short- and long-term renewable energy storage (e.g., battery, power to gas to power) and a conventional power plant is combined with an increasing amount of installed volatile renewable power. For the sake of simplicity, the grid is designed as a single copper plate with island restrictions and constant demand of 1000 MW; the volatile input is deducted from scaled 15-min input data of German grid operators. A mixed integer linear programming model is implemented to generate an optimised unit commitment (UCO) for various scenarios and configurations using CPLEX® as the problem solver. The resulting unit commitment is input into a non-linear control model (NLC), which tries to match the plan of the UCO as closely as possible. Using the approach of a rolling horizon the result of the NLC is fed back to the interval of the next optimisation run. The problem’s objective is set to minimise CO2 emissions of the whole electricity producer park. Different interval lengths are tested with perfect foresight. The results gained with different interval lengths are compared to each other and to a simple heuristic approach. As non-linear control model a characteristic line model is used. The results show that the influence of the interval length is rather small, which leads to the conclusion that realistic forecast lengths of two days can be used to achieve not only a sufficient quality of solutions, but shorter computational times as well.

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“…[1][2][3] These methodologies include a framework of the strategic management process that is required to control a power system in the complex conditions. 2,6 The smart power system enables continuous control allowing suppliers to optimize energy usage based on price preferences, environmental, and system-related technical issues. 4 Strategy formulation includes considering a mission and vision, determining a system's internal weaknesses and strengths, identifying external threats and opportunities, and establishing objectives.…”

Section: Introductionmentioning

confidence: 99%

“…5 Modern power networks combine communications and information technology infrastructures into the electrical power system to create a smart grid in terms of operation. 2,6 The smart power system enables continuous control allowing suppliers to optimize energy usage based on price preferences, environmental, and system-related technical issues. 3,7 The smart grid design aims to provide an overall power system monitoring, create control strategies to maintain system performance and security, reduce operational and maintenance cost, and carry out system availability planning.…”

Section: Introductionmentioning

confidence: 99%

Strategic management of stochastic power losses in smart transmission grids

Koloushani

Nasri

Rezaei

2019

Int Trans Electr Energ Syst

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Summary This paper contributes to the development of a smart wide‐area controller for the management of stochastic power losses in smart transmission grids while power system reliability is met. A comprehensive strategic management model is used for designing a smart grid management strategy. The proposed wide‐area control algorithm enables continuous communication and control, allowing suppliers to optimize active power losses based on price preference and system technical issues. Wide‐area control variables are continuously controlled by solving an optimization problem with an active intent to minimize power losses. A gravitational search algorithm (GSA) is presented to solve the optimization problem. In this paper, the wide‐area control system is combined with local controllers and a hybrid controller is proposed. Proposed algorithms are tested on the standard Institute of Electrical and Electronics Engineers (IEEE) 9‐bus and IEEE 118‐bus test systems. Because of the stochastic behavior of the power system, various and random contingencies are considered. Simulation results demonstrate the efficiency of the hybrid algorithm.

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Key Technologies for Integration of Multitype Renewable Energy Sources—Research on Multi-Timeframe Robust Scheduling/Dispatch

Cited by 67 publications

References 19 publications

Value assessment of hydrogen-based electrical energy storage in view of electricity spot market

Value assessment of hydrogen-based electrical energy storage in view of electricity spot market

Effect of Different Interval Lengths in a Rolling Horizon MILP Unit Commitment with Non-Linear Control Model for a Small Energy System

Strategic management of stochastic power losses in smart transmission grids

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