Decentralized optimal multi-area generation scheduling considering renewable resources mix and dynamic tie line rating

Economic-environmental effect of power to gas technology in coupled electricity and gas systems with price-responsive shiftable loads

“…Global economic and environmental challenges of fossil-fueled electrical energy production technologies have resulted in enhancing the penetration of renewable resources in recent years (Heydarian-Forushani, Ehsan et al, 2017;Madadi et al, 2019). The urban energy usage and emissions of carbon have been increased considering the continuous growth of the urban population and economy (Wei et al, 2017a;Wei et al, 2018).…”

A Comprehensive Overview of Dynamic Line Rating Combined with Other Flexibility Options from an Operational Point of View

“…Compared to the base case defined as no ESS or DLR availability in [136], it was found out that the ESS only case, DLR only case and joint ESS & DLR case decreased the well-known expected energy not supplied reliability indices respectively by 11.5%, 12.1% and 23.6%, and also several sensitivity analyses considering ESS parametric and operational policy impacts also resulted in different results in wind power related reliability indices. The study in [137] proposed a DLR-based flexibility for the tie line of a multi-area system including a further compressed air ESS-based flexibility under wind power generation availability. Combined economic and environmental issues based stochastic multi-objective problem aimed to minimize expected operational cost composed of conventional production, ESS employment and energy market-based cost components while also minimizing the emission function regarding the environmental impacts of conventional generation and ESS utilization.…”

“…Combined economic and environmental issues based stochastic multi-objective problem aimed to minimize expected operational cost composed of conventional production, ESS employment and energy market-based cost components while also minimizing the emission function regarding the environmental impacts of conventional generation and ESS utilization. A hybrid simplicial decomposition, nonlinear block Gauss-Seidel and augmented Lagrangian methods based decomposition algorithm was implemented to decompose the general problem into subproblems and ε-constraint method based solution technique to form a Pareto front composed of multiple solutions and fuzzy satisfying method based best solution selection technique to determine the best solution were employed in [137]. The energy market prices and available percent of wind power based uncertainties were tackled via 12 scenarios, and the tests on 3-area and 5-area sample systems resulted in a slight decrement in wind spillage and operational costs as well as environmental impacts with only ESS availability but a significantly higher decrease in the mentioned operational issues reaching 10% with the implementation of both ESS and DLR based flexibility options.…”

Hierarchical learning optimisation method for the coordination dispatch of the inter‐regional power grid considering the quality of service index

“…In [10], a similar economic dispatch problem of an inter‐regional power grid is solved by the backtracking search algorithm, where the wind power is modelled with the Weibull distribution. In [11], the multiple scenarios method is adopted to describe the uncertainty of the wind power, and a static line rating index is introduced to describe the tie‐line transmission capacity. Then, the coordination dispatch between the tie‐line and various generations in the inter‐regional system is focused and solved by an improved augmented Lagrangian method.…”

“…The problem will be difficult to solve under an uncertain environment due to the system complexity and multiple control variables. Current solutions for the dispatch optimisation problem of the inter‐regional power grid under the uncertain environment can be divided into two approaches, the decentralised methods [9, 10, 12] and the centralised methods [11, 20]. However, all these methods mentioned above need to make the optimisation calculation the best control at each time to obtain when the online decision is required.…”