Unit commitment and multi-objective optimal dispatch model for wind-hydro-thermal power system with pumped storage

Shi, Nan; Zhou, Shicheng; Su, Xunwen; Yang, Rongfeng; Zhu, Xianhui

doi:10.1109/ipemc.2016.7512512

Cited by 11 publications

(4 citation statements)

References 10 publications

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“…PV is only considered here as the renewable energy sources as shown in Equation (9). Also, the grid composes of the four conventional thermal generating units and the imported power as shown in Equation (10).…”

Section: Power Generation Modelingmentioning

confidence: 99%

“…A deterministic and an interval UC formulation for the co-optimization of controllable generation and PHES, including a representation of the hydraulic constraints of the PHES is proposed in [9]. PHES unit not only has the functions of peak-load regulation and frequency modulation, but also has the capability of fast response and excellent load tracking, which can effectively reduce the installed capacity of thermal power, decrease peak-load regulation depth, improve operational efficiency of the power system [10]. [11] proposes a novel annual analysis for the thermal power generator and pumped storages under a massive introduction of RESs.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger

Halidou¹,

Lotfy²,

Yona³

et al. 2018

IJPER

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This paper presents a novel real multi-objective approach for thermal unit commitment (UC) problem solution in Niamey (Niger). The proposed methodology consists of four conventional thermal generating units and imported power from a neighboring country in addition to future inclusion of Photovoltaic (PV) power, Wind Turbine Generators (WTGs), and Pumped Hydro Energy Storage (PHES). Minimization of total daily operating cost and decreasing the maximum daily mismatch between load demand and generation are considered as two objective functions in two cases. In the first case, UC with thermal units considering the imported power (IMP), PV and PHES is determined. In the second case, WTGs are introduced and the IMP is removed in order to get rid of its economical and political problems. ε-MOGA (epsilon Multi-Objective Genetic Algorithm) is used to obtain an optimal unit commitment problem solution with consideration of PV, WTGs and PHES. The effectiveness and robustness of the proposed scheme is verified by numerical simulations using MATLAB environment.

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Section: Power Generation Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger

Halidou¹,

Lotfy²,

Yona³

et al. 2018

IJPER

View full text Add to dashboard Cite

show abstract

“…It takes into account the wind energy curtailment cost, total social cost, and energy of PHES units’ revenues as objectives’ functions. Shi et al (2016) studied the day-ahead optimal dispatching model of power system containing wind generator-hydro-thermal-pumped storage units. The particle swarm optimization algorithm used in this study aims to define the operational strategy of the system including wind generators, thermal generators, and PHES, and to reduce the production costs and the carbon devastating emissions.…”

Section: Introductionmentioning

confidence: 99%

Joint operation between wind power generation and pumped hydro energy storage in the electricity market

2019

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Due to the variable nature of wind resources, the integration of wind power into electric power system has been a relevant issue. Recently, pumped hydro energy storage can be used to balance the unstable output of wind farm, as it can adjust its production to compensate wind power fluctuation. This article investigated the combination of a wind farm and a pumped hydro energy storage facility from the point of view of a generation company in a market environment. A joint operation model between the wind farm and pumped hydro energy storage is proposed. An algorithm of energy management system is proposed to identify the daily operational strategy to be followed in order to (1) minimize the penalty cost resulted from wind-pumped hydro energy storage output imbalances and (2) maximize the daily revenue profit taking into consideration all constraints of joint operation. Simulation results under MATLAB/Simulink® environment are presented and discussed.

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“…A stochastic multi-objective optimal reactive power dispatch model is studied concerning about load and wind power generation uncertainties, including real power losses and operation cost of wind farms [2]. The objective function is implemented for energy saving and emission-reduction [3]. The day-ahead multi-objective optimal dispatching model containing thermal power, hydro power, wind-power and pumped storage units is given to minimize the total costs and CO 2 emission under multiple constraints.…”

Section: Introductionmentioning

confidence: 99%

Multi-Objective Optimal Dispatch Considering Wind Power and Interactive Load for Power System

Shi¹,

Bao²,

Ding³

et al. 2018

EPE

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With the rapid and large-scale development of renewable energy, the lack of new energy power transportation or consumption, and the shortage of grid peak-shifting ability have become increasingly serious. Aiming to the severe wind power curtailment issue, the characteristics of interactive load are studied upon the traditional day-ahead dispatch model to mitigate the influence of wind power fluctuation. A multi-objective optimal dispatch model with the minimum operating cost and power losses is built. Optimal power flow distribution is available when both generation and demand side participate in the resource allocation. The quantum particle swarm optimization (QPSO) algorithm is applied to convert multi-objective optimization problem into single objective optimization problem. The simulation results of IEEE 30-bus system verify that the proposed method can effectively reduce the operating cost and grid loss simultaneously enhancing the consumption of wind power.

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Unit commitment and multi-objective optimal dispatch model for wind-hydro-thermal power system with pumped storage

Cited by 11 publications

References 10 publications

Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger

Optimal Thermal Unit Commitment Scheme by Including Renewable Energy Sources and Pumped Hydro Energy Storage: Case Study of Niamey Power System, Niger

Joint operation between wind power generation and pumped hydro energy storage in the electricity market

Multi-Objective Optimal Dispatch Considering Wind Power and Interactive Load for Power System

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