An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability

Xu, Qingshan; Ding, Yifan; Zheng, Aixia

doi:10.3390/su9050758

Cited by 18 publications

(6 citation statements)

References 33 publications

(45 reference statements)

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“…The expected energy not supplied (EENS) is measured where the actual demand becomes more than the forecasted value the spinning reserve is not enough to cope up with this change or the system has encountered any collapse in the power generation from the expected value. EENS is treated as a system penalty cost as a value of lost load (VoLL) which is taken as a constant value constrained within some operational limits [20]. The thermal power generation cost calculated while ramping and committed/shutdown states are taken into consideration.…”

Section: A Real Contributionsmentioning

confidence: 99%

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A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

et al. 2021

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In this paper, a two-stage approach is proposed on a joint dispatch of thermal power generation and variable resources including a storage system. Although, the dispatch of alternate energy along with conventional resources has become increasingly important in the new utility environment. However, recent studies based on the uncertainty and worst-case scenario-oriented robust optimization methodology reveal the perplexities associated with renewable energy sources (RES). First, the load demand is predicted through a convolutional neural network (CNN) by taking the ISO-NECA hourly real-time data. Then, the joint dispatch of energy and spinning reserve capacity is performed with the integration of RES and battery storage system (BSS) to satisfy the predicted load demand. In addition, the generation system is penalized with a cost factor against load not served for the amount of energy demand which is not fulfilled due to generation constraints. Meanwhile, due to ramping of thermal units, the available surplus power will be stored in the backup energy storage system considering the state of charge of the storage system. The proposed method is applied on the IEEE-standard 6-Bus system and particle swarm optimization (PSO) algorithm is used to solve the cost minimization objective function. Finally, the proposed system performance has been verified along with the reliability during two worst-case scenarios, i.e., sudden drop in power demand and a short-fall at the generation end. INDEX TERMSCo-Dispatch, Spinning reserve, State of charge, Optimization, Renewable energy resources, Battery storage system, Particle swarm optimization NOMENCLATURE The main notations used in this paper are stated below. Additional symbols are defined in the article where required.

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Section: A Real Contributionsmentioning

confidence: 99%

“…• The exploitation of the combined dispatch of thermal, PV, and storage plants is getting attention nowadays as previously explained in [20] and [21]. This is due to the overuse of conventional energy sources concerns has been raised over its global climatic and economic effects.…”

Section: Motivation and Background Literaturementioning

confidence: 99%

A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

et al. 2021

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“…3, June 20213, June : 19053, June -19113, June 1906 The core task of reaching the lowest fossil fuel cost (FFC) from TPs has been concerned and attracted a huge number of researchers so far. This task and the whole problem of fossil fuel cost reduction are described in detail in Economic load dispatch (ELD) [6][7][8]. The problem can be mathematically formulated by presenting objective function and a constraint set in which FFC reduction is objective while generation limits of generators in TPs and balance of active power between supply side and consuming side are regarded as major constraints.…”

Section: Introductionmentioning

confidence: 99%

Minimize electricity generation cost for large scale wind- thermal systems considering prohibited operating zone and power reserve constraints

Vinh

Dinh

Phan

et al. 2021

IJECE

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Wind power plants (WPs) play a very important role in the power systems because thermal power plants (TPs) suffers from shortcomings of expensive cost and limited fossil fuels. As compared to other renewable energies, WPs are more effective because it can produce electricity all a day from the morning to the evening. Consequently, this paper integrates the optimal power generation of TPs and WPs to absolutely exploit the energy from WPs and reduce the total electricity generation cost of TPs. The target can be reached by employing a proposed method, called one evaluation-based cuckoo search algorithm (OEB-CSA), which is developed from cuckoo search algorithm (CSA). In addition, conventional particle swarm optimization (PSO) is also implemented for comparison. Two test systems with thirty TPs considering prohibited working zone and power reserve constraints are employed. The first system has one wind power plant (WP) while the second one has two WPs. The result comparisons indicate that OEB-CSA can be the best method for the combined systems with WPs and TPs.

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“…At the same time, its randomness and volatility pose great challenge to the safe operation of the power grid [2][3][4]. As a new form of network structure, microgrids can realize combined heat and power scheduling, give full play to the complementary characteristics of wind power generation and photovoltaic power generation [5], and realize local consumption of wind power and photovoltaic power generation, greatly reducing the amount of abandoned wind and photovoltaic energy. The problem of environmental pollution [6,7] is solved, to a certain extent.…”

Section: Introductionmentioning

confidence: 99%

Optimal Dispatch of Microgrid with Combined Heat and Power System Considering Environmental Cost

et al. 2018

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With the rapid development of wind power generation and photovoltaic power generation, the phenomenon of wind and solar abandoning becomes more and more serious in the operation of power systems, and the microgrid is a new operating mode of power systems which provides a new consumption mode for wind power generation. With the increasingly close connection among energy resources and people's increasing awareness of environmental protection, this paper establishes a microgrid optimal scheduling model with a combined heat and power system, in consideration of environmental costs. This model aims at the lowest comprehensive cost, at the same time taking into account the emission reductions of SO 2 and NO x , considering the cost of power generated by the micro-generator, environmental cost, the related cost of battery, operation and maintenance cost of wind power, and photovoltaic power generation. The related constraints of thermal balance and power balance are also considered during microgrid system operation. The established model is solved with an improved particle swarm algorithm. At last, taking a microgrid system as an example, the validity and reliability of the proposed model are verified.Energies 2018, 11, 2493 2 of 23 microgrid system with wind and light storage [11,12], to achieve the goal of reducing the total operating costs and SO 2 and NO x emissions, has become an urgent problem to be solved.In recent years, the related research on microgrids has achieved certain results. In [13], Mao et al. comprehensively considered the operating cost, pollutant discharge, and operational risk, and established a multi-objective optimization model based on microgrids. It considered the impact of distributed power output volatility on microgrid operation, which can effectively improve the operation and management level of microgrids. In [14], Wu et al., based on the model of each power source in the microgrid, established the scheduling model when grid-connected, and proposed the mixed integer programming method applied to the optimal scheduling of the microgrid, which proves that this method has strong advantages in both computation time and calculation accuracy, and can provide fast and accurate scheduling information for short-term and ultra-short-term energy management of microgrids. In [15], Fubara et al. comprehensively considered the power balance and heat balance in a microgrid, and took the lowest operation cost as target, while considering the energy utilization rate, and two different operational strategies were proposed, which were applied to three different models. Through calculation, the operating costs under each power generation strategy were compared and verified. This contributed to the improvement of the energy efficiency of the microgrid. However, in [14,15], the investment of renewable energy, such as wind power and photovoltaics, is not taken into account, which can reduce the emission of pollutants to a certain degree. In [16], Thompson et al. established a multi-objective economic scheduling...

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An Optimal Dispatch Model of Wind-Integrated Power System Considering Demand Response and Reliability

Cited by 18 publications

References 33 publications

A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

A Joint Optimization Model for Energy and Reserve Capacity Scheduling With the Integration of Variable Energy Resources

Minimize electricity generation cost for large scale wind- thermal systems considering prohibited operating zone and power reserve constraints

Optimal Dispatch of Microgrid with Combined Heat and Power System Considering Environmental Cost

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