Impact of demand response program in wind integrated distribution network

Distribution network reconfiguration (DNR) continues to be a good option to reduce technical losses in a distribution power grid. However, this non-linear combinatorial problem is not easy to assess by exact methods when solving for large distribution networks, which requires large computational times. For solving this type of problem, some researchers prefer to use metaheuristic techniques due to convergence speed, near-optimal solutions, and simple programming. Some literature reviews specialize in topics concerning the optimization of power network reconfiguration and try to cover most techniques. Nevertheless, this does not allow detailing properly the use of each technique, which is important to identify the trend. The contributions of this paper are three-fold. First, it presents the objective functions and constraints used in DNR with the most used metaheuristics. Second, it reviews the most important techniques such as particle swarm optimization (PSO), genetic algorithm (GA), simulated annealing (SA), ant colony optimization (ACO), immune algorithms (IA), and tabu search (TS). Finally, this paper presents the trend of each technique from 2011 to 2016. This paper will be useful for researchers interested in knowing the advances of recent approaches in these metaheuristics applied to DNR in order to continue developing new best algorithms and improving solutions for the topic.

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“…The results showed that the proposed algorithm was the fastest. Parallel investigations are offered in [51], [52], and [65].…”

Section: Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Quintero-Duran

Candelo-Becerra

Sousa

2017

JESTR

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“…In this model, the uncertainty of the customers is not investigated which is necessary for a voluntary response of customers. In [20], the authors present the combined effects of DR program, wind generator and network reconfiguration on distribution network considering uncertainties involved with DR and RES. In [21], profit maximization of DRA based on stochasticity is introduced by considering the bottom-up approach in the day-ahead and balancing markets.…”

Section: Introductionmentioning

confidence: 99%

“…The uncertain nature of the enduser responses and market prices are the basis for finding the short-term self-scheduling for DRA using information gap decision theory (IGDT) [22]. In [17][18][19][20][21][22], a simplified approach for load curtailment and load recovery is considered without using proper constraints. The load recovery model requires constraints like the constraints of starting and stopping of load recovery hours and the magnitude of load that may be recovered in a specific recovery event considering the base load of customers.…”

Section: Introductionmentioning

confidence: 99%

Risk assessment of microgrid aggregators considering demand response and uncertain renewable energy sources

Ghose

Pandey

Gadham

2019

J. Mod. Power Syst. Clean Energy

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In power market environment, the growing importance of demand response (DR) and renewable energy source (RES) attracts more for-profit DR and RES aggregators to compete with each other to maximize their profit. Meanwhile, the intermittent natures of these alternative sources along with the competition add to the probable financial risk of the aggregators. The objective of the paper is to highlight this financial risk of aggregators in such uncertain environment while estimating DR magnitude and power generated by RES. This work develops DR modeling incorporating the effect of estimating power at different confidence levels and uncertain participation of customers. In this paper, two well-known risk assessment techniques, value at risk and conditional value at risk, are applied to predict the power from RES and DR programs at a particular level of risk in different scenarios generated by Monte Carlo method. To establish the linkage between financial risk taking ability of individuals, the aggregators are classified into risk neutral aggregator, risk averse aggregator and risk taking aggregator. The paper uses data from Indian Energy Exchange to produce realistic results and refers certain policies of Indian Energy Exchange to frame mathematical expressions for benefit function considering uncertainties for each type of three aggregators. Extensive results show the importance of assessing the risks involved with two unpredictable variables and possible impacts on technical and financial attributes of the microgrid energy market.

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“…An event-driven emergency DR scheme to enhance power system security has been proposed in [13]. With the increasing growth of wind power penetration in power systems, the effect of wind power in reactive power control is studied in [14], [15]. A new index titled reactive power loadability (Qloadability) is proposed in [14] for finding the optimal location of reactive power compensation devices in distribution systems considering different wind power penetration levels.…”

mentioning

confidence: 99%

“…A new index titled reactive power loadability (Qloadability) is proposed in [14] for finding the optimal location of reactive power compensation devices in distribution systems considering different wind power penetration levels. The effect of emergency demand response program (EDRP) and time of use program (TOU) programs on operating cost of a wind integrated distribution network is studied in [15]. An overview of the classic and advanced voltage control schemes along with voltage control practices around the world are provided in [16].…”

mentioning

confidence: 99%

Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

Rabiee

Soroudi

Mohammadi‐Ivatloo

et al. 2014

IEEE Trans. Power Syst.

133

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Impact of demand response program in wind integrated distribution network

Cited by 15 publications

References 51 publications

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Recent Trends of the Most Used Metaheuristic Techniques for Distribution Network Reconfiguration

Risk assessment of microgrid aggregators considering demand response and uncertain renewable energy sources

Corrective Voltage Control Scheme Considering Demand Response and Stochastic Wind Power

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