Security-Constrained generation and transmission expansion planning based on optimal bidding in the energy and reserve markets

Dini, Anoosh; Azarhooshang, Alireza; Pirouzi, Sasan; Norouzi, Mohammadali; Lehtonen, Matti

doi:10.1016/j.epsr.2020.107017

Cited by 50 publications

(70 citation statements)

References 29 publications

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“…It is noted that, in constraints ( 35) and (36), the binary variable of ts helps prevent charging-discharging operation at the same time in the TSS. is issue can be implemented in ESS and EVs parking lots using binary variables of es and ev, respectively, according to constraints (40), (41) v�1 BC v , respectively, where SOC and BC are related to the state of charge (SOC) of the EV's battery and its capacity and N A and N D are, respectively, the numbers of EVs at arrival and departure times [31].…”

Section: Hub Formulationmentioning

confidence: 99%

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

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In order to increase energy efficiency, the energy hub is considered as a form of aggregator and coordinator of various resources and storage. With the optimal performance of resources and storage generators based on a proper energy management system, it is expected that hubs can gain financial benefits from energy markets and ancillary services. So, the paper presents the participation of networked energy hubs in day-ahead (DA) reserve regulation and energy markets, where the hub operator incorporates a coordinated energy management (CEM) strategy to manage power sources and energy storage devices within the hub. Hence, this problem maximizes the total profit of hubs in the DA energy and up and down reserve markets. Also, the problem is constrained by optimal power flow (OPF) constraints in gas, electricity, and thermal networks, reserve limits, and hub constraints, including the model of the combined heat and power (CHP), renewable energy source (RES), electrical/thermal storage, parking lots of electric vehicles (EVs), and boiler. Following that, a linear format is obtained for the nonlinear equation using traditional linearization methods so that an optimal solution is found in less time considering less computational error. Eventually, a standard case system is used to test the strategy, and thus, the capabilities of the approach are investigated. The obtained findings validate the potential of the proposed design in enhancing the economic situation of power sources and storage in hub form, which can enhance operation indices by optimal management of the hub so that the energy management of resources and storage in the form of a hub based on CEM compared to their independent management plan has been able to increase the profit of these elements in energy and up and down reserve markets by about 17%, 28%, and 15%, respectively. Regarding technical indices of energy networks, the proposed scheme by creating low energy losses in the gas network and providing pressure drop, overvoltage, and overtemperature within their permissible limits succeeded in reducing the energy losses in electricity and heat networks by about 83% and 38%, respectively, compared to power flow studies. Also, in these conditions, it has reduced the maximum voltage and temperature drop by 45% and 39%, respectively.

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Section: Hub Formulationmentioning

confidence: 99%

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Kazemi

Salehpour

Shahbaazy

et al. 2022

International Transactions on Electrical Energy Systems

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“…Equations ( 16)-( 21) are named "AC power flow formulation". Moreover, the operation boundaries of the network, such as bus voltages and the capacities of lines and substations, are given in ( 22)- (24), respectively [29,30]. In these equations, it is assumed that the distribution network is connected to the upstream network via a substation placed on the slack bus.…”

Section: Stage 2 (Sdg Planning Considering Operation and Protection I...mentioning

confidence: 99%

Two‐stage planning of synchronous distributed generations in distribution network considering protection coordination index and optimal operation situation

Sadeghi

Daryalal

Abasi

2022

IET Renewable Power Gen

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This paper presents economic planning of synchronous distributed generations (SDGs) constrained to protection and operation indices in the distribution network. The proposed scheme has a two-stage formulation. In the first stage, optimal protection coordination (OPC) is modelled in the first phase in a network without SDGs. This phase considers the total operating time of all overvoltage relays in primary and backup protective modes for different fault locations constrained to the coordination interval and setting parameters of the relays. Then, candidate buses and maximum installable size of SDGs are extracted in the second phase in proportion to preserving the OPC based on calculating the protection coordination index (PCI). In the second stage, bi-objective planning of SDGs is modelled based on the results extracted in the first stage. In this stage, minimization of the weighted sum of planning cost of SDGs is presented by taking into account optimal AC power flow constraints and operation-planning model of SDGs. By implementing the scheme on standard distribution networks, numerical results verify the validity of the suggested scheme in maintaining the protection coordination when placing SDGs in distribution network and enhancing economic and operation indices in comparison to power flow studies.

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“…From the viewpoint of optimization methods to provide optimal schemes in a computationally tractable manner, the previous studies can be classified as metaheuristic-and mathematical-based ones. The first class of references applies approaches like real genetic algorithm (GA) [8,9], decimal codification GA [47,48], non-dominated sorting genetic algorithm II (NSGA II) [17,18], particle swarm optimization (PSO) [10][11][12]29], improved discrete PSO [49,50], a combination of PSO and GA (PSO+GA) [27], differential evolution (DE) [13][14][15][16], DE-continuous population-based incremental learning (DE-PBILC) [24,25], artificial bee colony (ABC) [46], modified ABC [19][20][21], discrete ABC [52], improved discrete ABC [51], ant colony optimization algorithm for continuous domains (ACOR) [23], a combination of firefly algorithm and harmonic search algorithm (FFA+HAS) [39], adaptive tabu search (TS) [53], and hybridization of GA, TS, and artificial neural network (GA + TS + ANN) [28]. The latter one uses interior point method (IPM) [7], primal-dual interior-point method (PDIPM) [26], benders decomposition [34,38,40,44] or describes MINLP [22,36], mixed-integer linear programming (MILP) [30-33, 39, 41, 45, 52], and mixed-integer second-order cone programming (MISOCP) …”

Section: Motivation and Backgroundmentioning

confidence: 99%

Simultaneous generation and network expansion planning in large‐scale power systems under exact AC power flow equations

Mahmoudi

Alizadeh

2022

IET Generation Trans & Dist

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This article presents a novel three-step structure for simultaneous generation and network expansion planning under the exact AC power flow equations. This tractable structure allows for detailed investment decisions on new generation and network facilities. In the first step of the proposed coordinated planning framework, a power system is partitioned into regions based on electrical and geographical distances. Network aggregation in the first step is achieved by a new linear clustering model ameliorating both computational efficiency and accuracy. In the second step, the aggregated power system with a specific number of regions is cost-effectively expanded on a regional basis considering inter-regional power flows. In the third step, new generation and network facilities imposed by the second step of the proposed coordinated planning framework are allocated in each region. Moreover, intra-regional systems are cost-effectively expanded by new transmission lines and transformers. The proposed approach is implemented on IEEE 30-bus, 39-bus, 300-bus, and 1,354-bus test systems. The simulation results illustrate its high advantages from accuracy, practicality, and tractability points of view.

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Security-Constrained generation and transmission expansion planning based on optimal bidding in the energy and reserve markets

Cited by 50 publications

References 29 publications

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Participation of Energy Storage-Based Flexible Hubs in Day-Ahead Reserve Regulation and Energy Markets Based on a Coordinated Energy Management Strategy

Two‐stage planning of synchronous distributed generations in distribution network considering protection coordination index and optimal operation situation

Simultaneous generation and network expansion planning in large‐scale power systems under exact AC power flow equations

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