Economic dispatch model considering policy-guided carbon trading mechanisms

Song, Yifu; Liu, Jianing; Li, Puming

doi:10.1109/ptc.2013.6652438

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…The objective function can be expressed as following:

truemin F = \sum_{t = 1}^{T} ({false\sum}_{i = 1}^{N} (][, f_{G, i} ()(, t)) + f_{normalC O_{2}} (t) + f_{normalabd} (t))

where F represents total economic cost, T represents the number of considered time intervals in scheduling cycle, N represents the number of thermal units. f G ,i ( t ) represents the operating cost of thermal unit i , including fuel cost, start‐stop cost and valve‐point effect cost during hour t [6, 11].…”

Section: Scheduling Model Of Power Systemmentioning

confidence: 99%

“…Though an optimisation model about carbon trading cost was established under the mechanism of carbon trading in [4, 5], both of them ignored that excessive carbon emissions will lead to higher total economic cost and didn't discuss the optimal scheduling when carbon quotas allowances are insufficient. In [6], carbon trading cost was divided into three parts: carbon earnings, carbon credit cost and excessive emission penalty. Though carbon trading becomes more flexible, carbon emission–reduction is not improved significantly.…”

Section: Introductionmentioning

confidence: 99%

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Optimal scheduling of power system with photovoltaic power supply considering regional carbon trading

Zhang

Sun

2017

J. eng.

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“…The objective function can be expressed as following:

truemin F = \sum_{t = 1}^{T} ({false\sum}_{i = 1}^{N} (][, f_{G, i} ()(, t)) + f_{normalC O_{2}} (t) + f_{normalabd} (t))

Section: Scheduling Model Of Power Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal scheduling of power system with photovoltaic power supply considering regional carbon trading

Zhang

Sun

2017

J. eng.

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“…f (x ) means the objective of main grid, namely the abstract form of ( (1)). h(x , y, a) is a column vector of equation constraints in (2)- (5). The total number of equation constraints is l .…”

Section: Lmementioning

confidence: 99%

“…Reference [3] studies the coordinated scheduling strategy of wind and battery energy storage system (BESS). Economic dispatch considering carbon tax and carbon trading mechanism is modeled in [3][4][5][6]. The operating characteristics of a carbon capture plant and its involvement in the optimization scheduling of the power system are studied in [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A low‐carbon dispatch of power system incorporating active distribution networks based on locational marginal emission

Jiang

Hao

et al. 2017

IEEJ Transactions Elec Engng

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Involvement of active distribution networks (ADNs) in emission management can give full play to the carbon-reduction potential of distributed generations (DGs) and demand response. With the development of smart grid, low-carbon coordinated scheduling of power system with ADNs will become a new trend. A bilevel dispatch model based on locational marginal emission (LME) is proposed to achieve carbon reduction from both generation and load sides. The main grid dispatch is a problem of dynamic optimal power flow aiming at reducing both the operating and emission costs, in which LME under AC condition is adopted to calculate the carbon emission produced by node power. The ADN level is the DG generation schedule with the objective of minimizing both the cost and system emission based on LME. The main grid and ADNs interact and cooperate with each other by locational marginal price (LMP) and LME to cut the carbon pollution. Simulation results in a modified IEEE 30-bus system and an IEEE 118-bus system show that compared with the traditional LMP-based coordinated scheduling, the bilevel dispatch model based on LME can reduce carbon emission effectively and promote ADNs' participation in system carbon emission management.

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“…In such a case, many studies have investigated how the power system should operate with policies of a low carbon economy. In Reference [7], the impact of carbon emission policies on generation scheduling is analyzed and an economic dispatch model is established based on the cap-and-trade mechanism, and the case studies show how the carbon emission prices and allowances influence generation scheduling results.…”

Section: Introductionmentioning

confidence: 99%

Unit Commitment of a Power System Including Battery Swap Stations Under a Low-Carbon Economy

Lou

et al. 2018

Energies

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Battery swap stations (BSSs) are of great importance as an energy supplement for electric vehicles (EVs). The batteries in these stations not only charge instantaneous energy from the grid (G2B) but also discharge stored energy to the grid (B2G). This bidirectional energy consuming scheme provides more flexibility to the grid operation options, and henceforth, may bring in new challenges to the systems as well. In the meanwhile, the carbon trading mechanisms for the low-carbon economy can also have impacts on the generation scheduling of the power system. Therefore, a unit commitment (UC) model of the power system with BSSs in the low-carbon economic background is proposed to coordinate the G2B/B2G process of BSSs. Our model weighted the carbon dioxide emission in the cost function and tightened the constraint set with BSSs limits and the carbon trading mechanism. Case studies on a 10-unit test system demonstrate the effectiveness of the proposed model.

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Economic dispatch model considering policy-guided carbon trading mechanisms

Cited by 4 publications

References 11 publications

Optimal scheduling of power system with photovoltaic power supply considering regional carbon trading

Optimal scheduling of power system with photovoltaic power supply considering regional carbon trading

A low‐carbon dispatch of power system incorporating active distribution networks based on locational marginal emission

Unit Commitment of a Power System Including Battery Swap Stations Under a Low-Carbon Economy

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