Low-Carbon Scheduling of Integrated Electricity and Gas Distribution System Considering V2G

Coordinated Planning and Scheduling of Electricity and Natural Gas Systems

In this paper we propose a model for coordinated planning of power and natural gas systems, as a part of electricity supply chain. This model takes into account costs and constraints of both systems, and with hiring simplifications and linearization methods transforms initially nonlinear formulation to a mixed integer linear programming (MILP) problem. Natural gas would be assumed steady state,...

Stochastic Security Constrained Transmission and Battery Expansion Planning In Integrated Gas-Electricity Systems Considering High Penetration of Renewable Resources..

In this study, a new model is proposed to solve the problem of transmission and battery expansion planning considering integrated electricity and gas systems. The presented model is a bi-level stochastic planning model, where transmission and battery expansion planning modeling is done on one level, and gas network modeling is done on the other level. Here, the impact of the high penetration of...

Assessing “Gas Transition” pathways to low carbon electricity

Electricity Distribution Network Planning Considering Distributed Generation

One of EU’s actions against climate change is to meet 20% of our energy needs from renewable resources. Given that the renewable resources are becoming more economical to extract electricity from, this will result in that more and more distributed generation (DG) will be connected to power distribution. The increasing share of DG in the electricity networks implies both increased costs and bene...

Integrated Order Batching and Distribution Scheduling in a Single-block Order Picking Warehouse Considering S-Shape Routing Policy

In this paper, a mixed-integer linear programming model is proposed to integrate batch picking and distribution scheduling problems in order to optimize them simultaneously in an order picking warehouse. A tow-phase heuristic algorithm is presented to solve it in reasonable time. The first phase uses a genetic algorithm to evaluate and select permutations of the given set of customers. The seco...